4 Bayesian Statistics Jobs

You will be responsible for providing highly advanced expert support and functional and technical leadership to ensure the scientific integrity and validity for clinical development, early development, and/or research projects. Your main tasks will include developing and applying biostatistics and programming methods to ensure valid conclusions, as well as providing statistical support for regulatory submissions, including planning, analysis, and reporting of clinical safety and efficacy summaries. Additionally, you may also provide statistical support to research or other R&D areas. To meet challenges in data review, big data, analytics, and reporting of clinical trial data, you may independently provide timely and professional leadership of special projects that focus on innovative tools and systems. You will strategically and tactically support the Director Clinical Data Standards and be responsible for advising/leading the planning, development, and implementation of Industry (CDISC and regulatory) compliant, high-quality clinical data standards, infrastructure, or automation technologies. Your role will also involve providing expert support and stellar customer focus to business users and teams on their use of data standard collection tools, data transfer specifications, analysis data/TFL standards/Define, automation solutions/technologies, and business infrastructure, business rules, and guidelines. You may also lead global teams as required. At the study level, you will be responsible for all statistical tasks on assigned clinical or non-clinical trials, particularly for high complexity trials, seeking peer input/review as required. You will contribute to protocol development, statistical analysis plan development, and reporting activities. Additionally, you will provide statistical expertise to support submission activities and documents, meetings with Health Authorities, pricing agencies, and other drug development activities. You will independently lead interactions with external review boards/ethics committees, external consultants, and represent the organization in statistical discussions at external congresses, conferences, and scientific meetings. You will be responsible for strategic statistical input into one or more projects, collaborating with clinical, regulatory, and other strategic functions to drive quantitative decision-making in drug development. At the disease area/TA/indication level, you will drive strategic statistical input and excellence to development programs within the assigned areas. Additionally, you may lead or significantly contribute to initiatives at the global line function level or cross-functional franchise level, requiring coordination of diverse team members. You will actively contribute to cross-functional organizational/process/scientific consulting improvement initiatives and represent the organization in due diligence teams for in-licensing opportunities. The ideal candidate will have an MS (in Statistics or equivalent) with 10+ years of relevant work experience or a PhD with 6+ years of relevant work experience. Strong interpersonal and communication skills, along with proven expertise in statistics and its application to clinical trials, are essential. Additionally, experience with statistical software packages such as SAS or R, and a strong understanding of drug development and Health Authority guidelines are required. The role may also require expertise in pharmacokinetics, exposure-response modeling, exploratory biomarker, diagnostic analyses, applied Bayesian statistics, or data exploration skills. Novartis is committed to providing reasonable accommodation to individuals with disabilities. For more information or to request accommodation during the recruitment process, please contact [email protected] and include the job requisition number in your message.,

Bold is seeking for newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology. WHAT YOULL DO Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team.? WHAT YOULL NEED Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in using large language models. Fine-tuning knowledge is good to have. Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. WHAT&aposS GOOD TO HAVE Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins EXPERIENCE- Module Lead- 5.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don&apost discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Show more Show less

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. Operating in more than 45 countries across five continents, we leverage state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients" business impact and strategic decision-making. With a team of over 4,500 talented professionals worldwide, we offer a dynamic, growth-oriented, and meritocracy-based culture that emphasizes continuous learning, skill development, work-life balance, and equal opportunity for all. Recognized by Great Place to Work in various countries, we provide a rewarding environment for individuals looking to make a significant impact. As a member of the Risk and Quant Solutions (RQS) team at Evalueserve, you will be part of one of the fastest-growing practices within the organization. Working with cutting-edge technology, you will address some of the world's largest financial needs and contribute to improving decision-making processes in the banking sector. Your responsibilities at Evalueserve will include leading and overseeing the development and implementation of Asset Liability Management (ALM) and Interest Rate Risk in the Banking Book (IRRBB) models for a bank. You will conduct advanced data analysis, collaborate with the model development team to enhance existing models, work directly with clients to provide tailored solutions in ALM and IRRBB management, and ensure timely completion of projects with a strong sense of urgency. Additionally, you will manage prototype source data migration, develop and deliver training programs, and contribute to strategic decision-making processes through your expertise. We are looking for individuals with a Bachelor's or Master's degree in business administration, finance, computer science, or related fields. The ideal candidate will have a deep understanding of ALM concepts, IRRBB, and Internal Liquidity Adequacy Assessment Process (ILAAP), as well as proficiency in statistical methods and tools such as logistic regression, Bayesian statistics, and time series analysis. Strong skills in Python and R, along with experience in developing models from scratch, are essential for this role. Effective communication, stakeholder management, and leadership skills are also key requirements. Please note that the job description provided is for informational purposes and may be subject to periodic modifications to align with evolving circumstances. Accuracy and authenticity in the information you provide are crucial for your candidacy, as they will be verified during the Background Verification Process. If you require any assistance, your Talent Acquisition Single Point of Contact (TA SPOC) is available to support you throughout the process.,

As a Geospatial Statistician and Analyst at our company, you will play a crucial role in supporting various geospatial activities and initiatives. Your expertise and skills will contribute to addressing geographic disparities in heart disease and stroke morbidity, mortality, risk factors, and prevention efforts. To excel in this role, you must hold a minimum of a Master's Degree in Statistics, Biostatistics, Epidemiology, Sociology, or Applied Mathematics. Pursuing or possessing a PhD in any of these fields would be advantageous. Your responsibilities will include analyzing spatial and spatio-temporal data, managing large datasets, and utilizing statistical software such as SAS, R, or GeoDa. Your daily tasks will involve providing administrative support for staff meetings related to Geospatial activities. This includes coordinating meeting logistics, preparing agendas, and documenting meeting minutes. Additionally, you will use Geographic Information Systems (GIS) to create maps showcasing geographic variations in heart disease and stroke indicators, cost data, and healthcare access. Furthermore, you will offer technical guidance on GIS and cartography to health department staff involved in the GIS Capacity Building Project. You will also contribute to the production of reports, presentations, and the Interactive Atlas of Heart Disease and Stroke, highlighting key findings and prevention strategies. Join our team and be part of a dynamic work environment that values integrity, commitment, and excellence. Together, we will continue to grow and make a difference in the field of geospatial analysis and public health. If you are passionate about utilizing statistics and GIS to address critical health challenges, we invite you to apply for this exciting opportunity.,