16 Computational Chemistry Jobs

aganitha cognitive solutions is looking for Scientist (Computational Chemistry / Materials & Molecular Modeling) to join our dynamic team and embark on a rewarding career journey Conduct innovative research and experiments to develop new knowledge, products, or technologies within a specialized scientific field Design, plan, and execute scientific studies while ensuring compliance with safety and ethical standards Collect, analyze, and interpret data using advanced tools and methodologies to draw valid conclusions Prepare detailed technical reports, research papers, and documentation for internal use and external publication Collaborate with cross-functional teams, including engineers, analysts, and other scientists, to achieve project goals

About ThinkBio.Ai ThinkBio.Ai is revolutionizing the biopharmaceutical and healthcare fields with AI-powered resources. Our five specialized teams clinical, science, AI, software, and managed services work together to develop AI-based solutions that are deployed horizontally (data platforms and workflow tools) and vertically (clinical focus areas such as oncology, autoimmune diseases, and cardiology). Our mission is to help our clients find answers to their toughest questions and to accelerate the application of scientific breakthroughs in the clinic. Position Summary: We are seeking a highly motivated individual with expertise in computational chemistry to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve applying advanced computational methods to design, optimize, and analyze small molecules and their interactions with biological targets, contributing to drug discovery and disease modeling efforts. The successful candidate will have a PhD in computational chemistry, cheminformatics, physical chemistry, or a related field, with a deep understanding of molecular modeling, simulations, and structure-activity relationships. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position. : Apply deep domain knowledge in computational chemistry to support drug discovery projects, including virtual screening, lead optimization, and ADME/Tox predictions. Utilize molecular modeling, molecular dynamics simulations, quantum mechanics, and docking techniques to understand ligand-protein interactions and predict binding affinities. Integrate chemical data with multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to identify novel therapeutic opportunities and understand disease mechanisms. Work with a team of computational biologists and software experts to develop and apply AI/ML approaches for chemical property prediction and drug design. Stay up to date with the latest advancements in computational chemistry, cheminformatics, and AI-driven drug discovery to incorporate cutting-edge research into project efforts. Collaboration & Project Management: Work closely with cross-functional teams, including medicinal chemists, biologists, computational scientists, and software engineers to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in computational chemistry, cheminformatics, physical chemistry, or a closely related field. Strong expertise in molecular modeling, molecular dynamics simulations, quantum mechanics, and virtual screening techniques. Solid understanding of drug discovery principles, medicinal chemistry concepts, and structure-activity relationships. Proficiency with relevant computational chemistry software (e.g., Schr dinger, OpenEye, GROMACS, Amber) and programming languages (e.g., Python, R). Excellent verbal and written communication skills, with the ability to convey complex chemical and computational concepts clearly. Preferred: Experience with large-scale chemical data analysis and cheminformatics tools. Experience applying machine learning or artificial intelligence to chemical problems. Previous experience working in a multidisciplinary research environment, especially in a biopharmaceutical setting. Other Considerations: Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral experience in computational chemistry in either academia or industry will be hired as Scientists with opportunities for career advancement. Why Join Us? Work at the cutting edge of computational chemistry and AI-driven drug discovery. Contribute to groundbreaking disease modeling and omics integration efforts. Collaborate with leading experts in multiple disease domains. Competitive salary, benefits, and career development opportunities. Application Instructions: Interested candidates should submit a cover letter and CV to careers@thinkbioai.com .

What you will do In this vital role you will work closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre-clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality work from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and achievements Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree and 4 to 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree and 6 to 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma and 10 to 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Must-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS/ELN platforms such as Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage, etc. Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific software platforms Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud (e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience in establishing business partnerships and IS governance practices involving senior business collaborators Knowledge of business analysis standard methodologies, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way.

Career Category Information Systems Job Description Role Description: The role is responsible for designing, developing, and maintaining software solutions for Research scientists . Additionally, it involves automating operations, monitoring system health, and responding to incidents to minimize downtime. Y ou will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms that enable the capture, analysis, storage, and report ing for our Large Molecule Discovery Research team (Design, Make, Test and Analyze processes) . The team also interfaces heavily with teams supporting our in vi tro assay management systems and our compound inventory platforms . The ideal candidate possesses experience in the pharmaceutical or biotech industry, strong technical skills, and full stack software engineering experience (spanning SQL, back-end, front-end web technologies, automated testing ). Roles Responsibilities: Work closely with product team, business team including scientists, and other stakeholders Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software Conduct code reviews to ensure code quality and adherence to best practices Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently Stay updated with the latest technology and security trends and advancements Basic Qualifications and Experience: Master s degree with 1 - 3 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field OR Bachelor s degree with 4 - 6 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field OR Diploma with 7 - 9 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field Preferred Qualifications and Experience: 1 + years of experience in implementing and supporting biopharma scientific software platforms Functional Skills: Must-Have Skills : Proficient in Java or Python Proficient in at least one JavaScript UI Framework ( e. g. ExtJS , React, or Angular) Proficient in SQL ( e. g. Oracle, PostgreSQL , Databricks) Good-to-Have Skills: Experience with event-based architecture and serverless AWS services such as EventBridge , SQS, Lambda or ECS. Experience with Benchling Hands - on experience with Full Stack software development Strong understanding of software development methodologies, mainly Agile and Scrum Working experience with DevOps practices and CI/CD pipelines Experience of infrastructure as code ( IaC ) tools (Terraform, CloudFormation) Experience with monitoring and logging tools (e. g. , Prometheus, Grafana, Splunk) Experience with automated testing tools and frameworks Experience with big data technologies (e. g. , Spark, Databricks, Kafka) Experience with leveraging the use of AI-assistants ( e. g. GitHub Copilot) to accelerate software development and improve code quality Professional Certifications (please mention if the certification is preferred or mandatory for the role): AWS Certified Cloud Practitioner preferred Soft Skills: Excellent problem solving, analytical , and troubleshooting skills Strong communication and interpersonal skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to learn quickly work independently Team-oriented, with a focus on achieving team goals Ability to manage multiple priorities successfully Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation . .

Scientific Business Analyst (Sr Associate) – Small Molecule Discovery What you will do Let’s do this. Let’s change the world. In this vital role you will be working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role demonstrates scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Run a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Support the technology ecosystem for small molecule discovery and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and landmarks Identify and handle risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Cultivate a culture of collaboration, innovation, and continuous improvement. What we expect of you We are all different, yet we all use our unique contributions to serve patients. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms that enable small molecule design, synthesis, testing, and analytics. You will implement and run chemistry-focused software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Basic Qualifications & Skills: Master’s degree with 1 - 3 years of experience in Computer Science, IT, Computational Chemistry/ Cheminformatics, Chemical Engineering or related field, OR Bachelor’s degree with 3- 5 years of experience in Computer Science, IT, Computational Chemistry/ Cheminformatics, Chemical Engineering or related field, OR Diploma with 7 - 9 years of experience in Computer Science, IT, Computational Chemistry/ Cheminformatics, Chemical Engineering or related field or related field Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for solving complex challenges in drug discovery with technology and data Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience with chemistry-focused software platforms (e.g., Revvity Signals Notebook, ACD/Labs, ChemAxon, Schrdinger LiveDesign/PyMOL/Maestro, BIOVIA Pipeline Pilot), compound registration systems, and AI tools for drug design. Preferred Qualifications & Skills: 3+ years of experience in implementing and supporting chemistry-focused software platforms in a biopharma setting. Experience with Agile software development methodologies (Scrum) Hands-on experience building BIOVIA Pipeline Pilot protocols Ability to communicate technical or complex subject matters in business terms Knowledge of business analysis standard methodologies, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with cloud (e.g. AWS) and on-premise infrastructure Experience in establishing business partnerships and IS governance practices Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, remote teams High degree of initiative and self-motivation Ability to handle multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

JOB TITLE: Research Executive JOB FUNCTION: Science & Technology REPORTS TO: Sr. Research Scientist SCOPE: Beauty and Wellbeing WORK LOCATION: Unilever R&D Bangalore With 3. 4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people - we believe that when our people work with purpose, we will create a better business and a better world. At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don t believe in the one size fits all approach and instead we will equip you with the tools you need to shape your own future. BUSINESS CONTEXT AND MAIN PURPOSE OF THE JOB Beauty and Wellbeing (BW) is focused on Unmissable Brand Superiority and Making Market with Multi-Year Innovation Platforms and Excellence with Incremental turnover. Science & Technology (S&T) team is focused on big bets platforms such as MultiOmics, Biotechnology, Advanced Materials, using Digital to excel with savings and growth. The role of the Science and Technology (S&T-Physical and Chemical Science-PCS) is to deliver breakthrough Differentiated & Superior Technologies to meet above B&W goals, in key markets and with power brands. S&T-PCS team is employing Advance materials, Substrate Science and Digital to deliver Beautiful, Noticeable, Appearance Benefits to Skin & Hair. Teams focus is to deliver faster and cost-effective Innovations through Advanced Material Pillar using Computational chemistry . The purpose is to build multiyear innovation roadmap & impactful claims by combining insights driven by (a) Substrate - Material - Product dynamics (b) Computational chemistry. To meet our purpose, we need candidate with expertise in Materials Chemistry. The candidate should be able to demonstrate the ability to learning new digital capabilities, work on their own initiative and a desire to develop scientific skills. MAIN ACCOUNTABILITIES Develop In vitro capabilities & Technology pipeline to deliver consumer benefit through Sustainable materials & surface science insights Drive Design of Experiments to strengthen expertise area through proof of science. Build, learn and apply skills in modelling, cheminformatics skill to led technology funnel. Build IP funnel for differentiated & exclusive consumer benefits Delivers effective reporting of scientific data, including peer-reviewed publications Communicate and work closely with global team to incorporate new technologies into product Apply Growth Mind set through speed & teamwork KEY INTERFACES S&T Scientists (cross functional expertise) Design platform leaders Patent attorney Academic, Institutional & external partners KEY SKILLS Strong hand-on experience in Materials Chemistry Experience in polymers or colloids chemistry Scientific writing and Literature analysis. Track record of working in collaborations. RELEVANT EXPERIENCE M. Sc. in Chemistry (organic, Inorganic, polymer) Experience in Digital & Modelling Our commitment to Equality, Diversity & Inclusion Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

Supervising junior staff, including laboratory technicians. Keeping up to date with relevant scientific and technical developments. Setting up laboratory equipment and conducting tests and experiments. Recording and analysing data.

Career Category Information Systems Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps , use cases , and test plans for the software development teams. This enabl es the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. Y ou will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre- clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem , and provide technical support, training, and infrastructure management , and ensure it meets the needs of our Amgen R esearch community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework ( SAFe ) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. Basic Qualifications and Experience: Master s degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/Bioinformatics or related field , OR Bachelor s degree with 3 - 5 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/Bioinformatics or related field , OR Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/ Bioinformatics or related field , OR Preferred Qualifications: 3 + years of experience in implementing and supporting LIMS platforms . Functional Skills: Must-Have Skills : Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data E xperience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS platforms such as STARLIMS, Watson LIMS , LabVantage, etc. Good-to-Have Skills: Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation , and k nowledge of regulatory requirements affecting laboratory data (e. g. , FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud ( e. g. AWS) and on-premise infrastructure In-depth knowledge of Agile process es and principles for coordinated solutions and teams via SAFe Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certification s: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation . .

JOB DESCRIPTION Jubilant Bhartia Group . About Jubilant Biosys Jubilant Biosys Ltd is a part of the Jubilant Pharmova family of companies with R&D centres in India and business offices in Asia and North America. With our global reach, Jubilant Biosys provides comprehensive drug discovery services and contract research services from target discovery to candidate selection and with flexible business models (FFS, FTE and risk shared) in partnership with leading worldwide healthcare companies. With a clear scientific focus in oncology, metabolic disorders, central nervous system (CNS) diseases, pain and inflammation, Jubilant Biosys has rapidly emerged as a leading collaborator for pharmaceutical and biotechnology companies worldwide. In each of these therapeutic areas, Jubilant Biosys has developed a deep level of expertise in discovery informatics, computational chemistry , medicinal chemistry, structural biology , biology, in-vivo , in-vitro models and translational sciences. Combined with strong clinical development and manufacturing capabilities from other Jubilant subsidiaries, Jubilant Biosys has risen as a fully integrated contract research organization in India and headquartered at Bengaluru with end-to-end solutions. Our ability to be the preferred collaborator in the drug discovery domain is sustained by our commitment to comply with and continually improve our quality systems and to provide the following services: Contract Research Preclinical CRO Drug Discovery Virtual Screening Protein Crystallization Toxicology & In-vitro ADME Medicinal Chemistry Synthetic & Developmental Chemistry Pharmacology Jubilant Biosys collaborates with the world s leading pharmaceutical, biotech companies, academic institutions and research foundations. Find out more about us at www.jubilantbiosys.com The Position Organization : - Jubilant Biosys Designation & Level: - Research Associate -1/ Research Associate -2 (S1/S2) Location : - Greater Noida Department: - Synthesis Reporting Manager: - Group Leader Key Responsibilities Synthesis, purification and characterization of novel chemical compounds. Deliver small to large quantities of by novel chemical entities for drug discovery. Work collaboratively in a team to drive chemistry projects forward. Responsible for safe conduct of reactions. Excellent knowledge in basic and advance organic chemistry. Good knowledge in functional group conversion and multiple step synthesis. Basic knowledge retrosynthetic analysis (desirable). Good expertise in handling pyrophoric reactions. Good knowledge of TLC, column purification, extraction. Excellence in analyzing NMR, IR and Mass Spectrometry data. Always adhere to safe laboratory practices. Enthusiasm to work in a dynamic research environment. Always stretch when project challenge increases. Good knowledge in computer (MS-word/Excel/Power point) and structure drawing (Chem Draw/ISIS) and recording in electronic lab notebook. Good communication and presentation skill. Good in literature search using Reaxys. Person Profile Qualification: - M.Sc in Organic Chemistry or related field/ M. Pharma. Experience:- (below are Sample points) 1-6 years of industry experiences with any leading CRO organization. Jubilant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances.

Synthesis, purification and characterization of novel chemical compounds. Deliver small to large quantities of by novel chemical entities for drug discovery. Work collaboratively in a team to drive chemistry projects forward. Responsible for safe conduct of reactions. Excellent knowledge in basic and advance organic chemistry. Good knowledge in functional group conversion and multiple step synthesis. Basic knowledge retrosynthetic analysis (desirable). Good expertise in handling pyrophoric reactions. Good knowledge of TLC, column purification, extraction. Excellence in analyzing NMR, IR and Mass Spectrometry data. Always adhere to safe laboratory practices. Enthusiasm to work in a dynamic research environment. Always stretch when project challenge increases. Good knowledge in computer (MS-word/Excel/Power point) and structure drawing (Chem Draw/ISIS) and recording in electronic lab notebook. Good communication and presentation skill. Good in literature search using Reaxys. Person Profile Qualification: - M.Sc in Organic Chemistry or related field/ M. Pharma. Experience:- 1-5 years of industry experiences with any leading CRO organization. Jubilant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances.

Join our dynamic and innovative global Computer-Aided Drug Discovery (CADD) group, now expanding to India! Be a part of our Hyderabad team, where we unite diverse talents to revolutionize the validation and development of new targets in Biomedical Research. As a driving force behind drug discovery, we are excited to find an exceptional computational scientist like you to join our global ranks. Imagine the opportunity to unlock hidden knowledge and disruptive insights from the vast and invaluable data collected by one of the worlds most renowned pharmaceutical companies. We need your expertise, experience, and unwavering passion to help us extract this wealth of information. Collaborating with a multidisciplinary group of scientists, you will be at the forefront of crafting inventive solutions to the most pressing drug discovery challenges, forging new paths toward groundbreaking medicines. Are you'ready to seize this extraordinary chance to make a significant impact in the field of drug discoveryWe invite you to embark on this thrilling journey with us, as we push the boundaries of whats possible in scientific exploration. Join our team and be part of a revolution that will shape the future of medicine. Together, we will transform the landscape of drug discovery, accelerate breakthroughs, and change lives. Apply now and let your expertise shine in our dynamic and forward-thinking environment. About the Role Your Responsibilities Include : Drive the design of medicinal chemistry efforts by applying in-depth knowledge of structure-activity relationships (SAR), a profound understanding of target biology, and predictive methods for assessing on- and off-target activity, physical properties, pharmacokinetics / pharmacodynamics (PK/PD), and synthetic feasibility. Thrive at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery. Stay abreast of scientific literature and engage with internal and external scientists to incorporate biological insights into lead characterization and screening initiatives. Collaborate with interdisciplinary project teams to facilitate effective decision-making throughout the target identification to candidate nomination process. This involves applying and developing predictive models based on high-content and time-resolved screening data, including imaging techniques. Drive hypothesis generation to enhance clinical success rates for programs involving small molecules, peptides, RNAs, protein degradation, molecular glues, transient covalent inhibitors, and kinetic stabilization of drug-target complexes. Take a leading role in cross-disciplinary mechanistic studies using physics-based modeling and simulation, biophysical characterization, and cellular validation. These studies will inform the strategic targeting strategies of discovery projects, aiming for optimal mechanisms of action (MoAs). Minimum Requirements: Advanced degree in medicinal chemistry, computational chemistry, computational biology, computational chemical biology, or a related field. Candidates with a laboratory-based background in chemistry and biology, supplemented with strong computational experience, are also encouraged to apply. 5+ years of experience working with project teams in a drug discovery environment. Proven track record of innovation through analogue design, leading to significant impact on discovery projects. Familiarity with drug design tools and high-performance computing environments and strong publication history in peer-reviewe'd journals. Skills and Abilities: Proactively anticipates project needs with a clinical focus. Demonstrates rigor and diligence in idea substantiation, analogue design, and experimentation. Strong team orientation with multitasking and adaptability in support and leadership roles. Effective listener with excellent written and oral communication skills. Proficient in data visualization to effectively communicate insights.

Career Category Information Systems Job Description Role Description: This role is responsible for defining the architecture vision, creating roadmaps, and ensuring that IT strategies align with business goals. Y ou will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms that manage compound inventories / biological sample banks, as well as those that enable the capture, analysis, storage, and report of in vitro assays and in vivo / pre- clinical studies . You will play a pivotal role in shaping the software ecosystem in this area, ensuring that it meet s both current and future business needs while providing technical leadership to junior team members . Roles & Responsibilities: Provide technical guidance and mentorship to junior developers Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities Maintain documentation of the architecture, including principles, standards, and models Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Work with stakeholders to gather and analyze requirements, ensuring that solutions meet both business and technical needs Evaluate and recommend technologies and tools that best fit the solution requirements Ensure seamless integration between systems and platforms, both within the organization and with external partners Design systems that can scale to meet growing business needs and performance demands Basic Qualifications and Experience: Doctorate Degree OR Master s degree with 4 - 6 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field OR Bachelor s degree with 6 - 8 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT , Computational Chemistry, Computational Biology/ Bioinformatics or related field Preferred Qualifications and Experience: 3+ years of experience in implementing and supporting biopharma scientific research software platforms Functional Skills: Must-Have Skills: Strong architectural design and modeling skills Experience with system integration , IT infrastructure Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment Experience working in agile methodology , including Product Teams and Product Development models Good-to-Have Skills: Problem-Solving: Ability to identify and solve complex technical challenges. Solution Design: Proficiency in designing scalable, secure, and cost-effective solutions. Vendor Management: Experience in evaluating and selecting technology vendors. Proof of Concept: Ability to create and demonstrate proof of concept solutions to validate technical feasibility. Systems Analysis: Ability to decompose complex systems into smaller, manageable components. Design Patterns: Knowledge of common design patterns and their application in software development. Non-Functional Requirements: Consideration of factors like performance, scalability, security, and reliability in system design. Integration: Understanding of system integration principles and technologies ( e . g . Mulesoft, AWS Kafka) Technology Stack: Familiarity with a variety of programming languages ( e . g . Python, Java) , frameworks, databases ( e . g . Oracle, MySQL) and Salesforce Experience with cloud computing platforms (AWS) Strong solution design and problem-solving skills Strong understanding of technology, function, or platform Experience in developing differentiated and deliverable solutions Ability to analyze client requirements and translate them into solutions Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills .

Sr Semantic Engineer – Research Data and Analytics What you will do Let’s do this. Let’s change the world. In this vital role you will be part of Research’s Semantic Graph Team is seeking a dedicated and skilled Semantic Data Engineer to build and optimize knowledge graph-based software and data resources. This role primarily focuses on working with technologies such as RDF, SPARQL, and Python. In addition, the position involves semantic data integration and cloud-based data engineering. The ideal candidate should possess experience in the pharmaceutical or biotech industry, demonstrate deep technical skills, and be proficient with big data technologies and demonstrate experience in semantic modeling. A deep understanding of data architecture and ETL processes is also essential for this role. In this role, you will be responsible for constructing semantic data pipelines, integrating both relational and graph-based data sources, ensuring seamless data interoperability, and leveraging cloud platforms to scale data solutions effectively. Roles & Responsibilities: Develop and maintain semantic data pipelines using Python, RDF, SPARQL, and linked data technologies. Develop and maintain semantic data models for biopharma scientific data Integrate relational databases (SQL, PostgreSQL, MySQL, Oracle, etc.) with semantic frameworks. Ensure interoperability across federated data sources, linking relational and graph-based data. Implement and optimize CI/CD pipelines using GitLab and AWS. Leverage cloud services (AWS Lambda, S3, Databricks, etc.) to support scalable knowledge graph solutions. Collaborate with global multi-functional teams, including research scientists, Data Architects, Business SMEs, Software Engineers, and Data Scientists to understand data requirements, design solutions, and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions. Collaborate with data scientists, engineers, and domain experts to improve research data accessibility. Adhere to standard processes for coding, testing, and designing reusable code/components. Explore new tools and technologies to improve ETL platform performance. Participate in sprint planning meetings and provide estimations on technical implementation. Maintain comprehensive documentation of processes, systems, and solutions. Harmonize research data to appropriate taxonomies, ontologies, and controlled vocabularies for context and reference knowledge. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: Doctorate Degree OR Master’s degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Preferred Qualifications and Experience: 6+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms) Functional Skills: Must-Have Skills: Advanced Semantic and Relational Data Skills: Proficiency in Python, RDF, SPARQL, Graph Databases (e.g. Allegrograph), SQL, relational databases, ETL pipelines, big data technologies (e.g. Databricks), semantic data standards (OWL, W3C, FAIR principles), ontology development and semantic modeling practices. Cloud and Automation ExpertiseGood experience in using cloud platforms (preferably AWS) for data engineering, along with Python for automation, data federation techniques, and model-driven architecture for scalable solutions. Technical Problem-SolvingExcellent problem-solving skills with hands-on experience in test automation frameworks (pytest), scripting tasks, and handling large, complex datasets. Good-to-Have Skills: Experience in biotech/drug discovery data engineering Experience applying knowledge graphs, taxonomy and ontology concepts in life sciences and chemistry domains Experience with graph databases (Allegrograph, Neo4j, GraphDB, Amazon Neptune) Familiarity with Cypher, GraphQL, or other graph query languages Experience with big data tools (e.g. Databricks) Experience in biomedical or life sciences research data management Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Scientific Business Analyst (Specialist) – ELN What you will do This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role maximises scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms such as Laboratory Information Management Systems (LIMS) that enable the capture of lab workflows & experimental data and Electronic Lab Notebooks (ELN) that act as Amgen’s System of Record ensuring data integrity and business continuity. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and landmarks Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s degree with 6 - 8years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience with Benchling, Revvity, IDBS, or similar LIMS/ELN platforms Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific software platforms. Good-to-Have Skills: Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP) Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud (e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience in establishing business partnerships and IS governance practices involving senior business stakeholders Knowledge of business analysis standard processes, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Scientific Business Analyst (Specialist) – Biological Studies (LIMS) What you will do Let’s do this. Let’s change the world. In this vital role you will work closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre-clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality work from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and achievements Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 4 to 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s degree and 6 to 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma and 10 to 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Must-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS/ELN platforms such as Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage, etc. Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific software platforms Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud (e.g. AWS) and on-premises infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience in establishing business partnerships and IS governance practices involving senior business collaborators Knowledge of business analysis standard methodologies, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Setting up laboratory equipment and conducting tests and experiments. Recording and analysing data. Presenting results to senior research staff. Researching and writing papers, reports and reviews. Preparing funding applications.