4 Omop Jobs

Our engineering team is looking for a Data Engineer who is very proficient in python, has a very good understanding of AWS cloud computing, ETL Pipelines and demonstrates proficiency with SQL and relational database concepts. In this role you will be a very mid-to senior-level individual contributor guiding our migration efforts by serving as a Senior data engineer working closely with the Data architects to evaluate best-fit solutions and processes for our team. You will work with the rest of the team as we move away from legacy tech and introduce new tools and ETL pipeline solutions. You will collaborate with subject matter experts, data architects, informaticists and data scientists to evolve our current cloud based ETL to the next Generation. Responsibilities Independently prototypes/develop data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing an advanced understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Collaborates with stakeholders in defining metrics that are impactful to the business. Prioritize efforts based on customer value. Has an in-depth understanding of Agile techniques. Can set expectations for deliverables of high complexity. Can assist in the creation of roadmaps for data solutions. Can turn vague ideas or problems into data product solutions. Influences strategic thinking across the team and the broader organization. Maintains proof-of-concepts and prototype data solutions, and manages any assessment of their viability and scalability, with own team or in partnership with IT. Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support. Ensure data solutions include deliverables required to achieve high quality data. Displays a strong understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work. Has an in-depth understanding of Business Intelligence tools, including visualization and user experience techniques. Can set expectations for deliverables of high complexity. Works with IT to help scale prototypes. Demonstrates a comprehensive understanding of new technologies as needed to progress initiatives. Requirements Expertise in Python programming, with demonstrated real-world experience building out data tools in a Python environment. Expertise in AWS Services , with demonstrated real-world experience building out data tools in a Python environment. Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred. Masters in same or related disciplines strongly preferred. 3+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, Python and Spark. Experience with SAS is preferred. 3+ years experience as developer working in an AWS cloud computing environment. 3+ years experience using GIT or Bitbucket. Experience with Redshift, RDS, DynomoDB is preferred. Strong written and oral communication skills are required. Experience in the healthcare industry with healthcare data analytics products Experience with healthcare vocabulary and data standards (OMOP, FHIR) is a plus

We are looking for energetic, self-motivated and exceptional Data engineer to work on extraordinary enterprise products based on AI and Big Data engineering leveraging AWS/Databricks tech stack. He/she will work with star team of Architects, Data Scientists/AI Specialists, Data Engineers and Integration. Skills and Qualifications: 5+ years of experience in DWH/ETL Domain; Databricks/AWS tech stack 2+ years of experience in building data pipelines with Databricks/ PySpark /SQL Experience in writing and interpreting SQL queries, designing data models and data standards. Experience in SQL Server databases, Oracle and/or cloud databases. Experience in data warehousing and data mart, Star and Snowflake model. Experience in loading data into database from databases and files. Experience in analyzing and drawing design conclusions from data profiling results. Understanding business process and relationship of systems and applications. Must be comfortable conversing with the end-users. Job Description: Our engineering team is looking for a Data Engineer who is very proficient in python, has a very good understanding of AWS cloud computing, ETL Pipelines and demonstrates proficiency with SQL and relational database concepts. In this role you will be a very mid-to senior-level individual contributor guiding our migration efforts by serving as a Senior data engineer working closely with the Data architects to evaluate best-fit solutions and processes for our team. You will work with the rest of the team as we move away from legacy tech and introduce new tools and ETL pipeline solutions. You will collaborate with subject matter experts, data architects, informaticists and data scientists to evolve our current cloud based ETL to the next Generation. Responsibilities Independently prototypes/develop data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing an advanced understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Collaborates with stakeholders in defining metrics that are impactful to the business. Prioritize efforts based on customer value. Has an in-depth understanding of Agile techniques. Can set expectations for deliverables of high complexity. Can assist in the creation of roadmaps for data solutions. Can turn vague ideas or problems into data product solutions. Influences strategic thinking across the team and the broader organization. Maintains proof-of-concepts and prototype data solutions, and manages any assessment of their viability and scalability, with own team or in partnership with IT. Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support. Ensure data solutions include deliverables required to achieve high quality data. Displays a strong understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work. Has an in-depth understanding of Business Intelligence tools, including visualization and user experience techniques. Can set expectations for deliverables of high complexity. Works with IT to help scale prototypes. Demonstrates a comprehensive understanding of new technologies as needed to progress initiatives. Requirements Expertise in Python programming, with demonstrated real-world experience building out data tools in a Python environment. Expertise in AWS Services , with demonstrated real-world experience building out data tools in a Python environment. Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred. Masters in same or related disciplines strongly preferred. 3+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, Python and Spark. Experience with SAS is preferred. 3+ years experience as developer working in an AWS cloud computing environment. 3+ years experience using GIT or Bitbucket. Experience with Redshift, RDS, DynomoDB is preferred. Strong written and oral communication skills are required. Experience in the healthcare industry with healthcare data analytics products Experience with healthcare vocabulary and data standards (OMOP, FHIR) is a plus

What you will do In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and implementing data governance initiatives and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes . Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing. Be a key team member that assists in design and development of the data pipeline. Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems. Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions. Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks. Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs. Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency. Implement data security and privacy measures to protect sensitive data. Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions. Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions. Identify and resolve complex data-related challenges. Adhere to standard processes for coding, testing, and designing reusable code/component. Explore new tools and technologies that will help to improve ETL platform performance. Participate in sprint planning meetings and provide estimations on technical implementation. Collaborate and communicate effectively with product teams. Basic Qualifications: Masters degree with 4 - 6 years of experience in Computer Science, IT or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field. Functional Skills: Must-Have Skills: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing. Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training. Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools. Excellent problem-solving skills and the ability to work with large, complex datasets. Strong understanding of data governance frameworks, tools, and standard methodologies. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA). Good-to-Have Skills: Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development. Strong understanding of data modeling, data warehousing, and data integration concepts. Knowledge of Python/R, Databricks, SageMaker, OMOP. Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments). Certified Data Scientist (preferred on Databricks or Cloud environments). Machine Learning Certification (preferred on Databricks or Cloud environments). SAFe for Teams certification (preferred). 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 presentation skills. Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

What you will do Lets do this. Lets change the world. In this vital role you will Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Design data quality enhancements Represent the programming function and participate in multidisciplinary project team meetings Project manage all programming activities, according to agreed resource and timeline plans Ensure all programming activities on the project adhere to departmental standards Write and/or review and approve all programming plans Write and/or review and approve analysis dataset specifications Review and approve key study-related documents produced by other functions, e.g. SAPs, CRF, Data Management Plan, etc. Write, test and validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications Write, test, validate and complete department-, product- and protocol-level macros and utilities Be responsible for the work of outsourced resources assigned to project Lead and/or participate in the development and review of CfOR Policies, SOPs and other controlled documents Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings Participate in the recruitment of programming staff Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Manage staff performance and oversee staff assignments and utilization What we expect of you We are all different, yet we all use our unique contributions to serve patients. This crucial role involves leading a team of senior statistical programmers who will generate Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle. This lead programming role will collaborate with teams across multiple time zones to oversee request fulfillment, clarify requirements, track projects, resolve issues, and deliver high-quality results. The Biostatistical Programming Manager will report to a locally based Director of Biostatistical Programming. The Biostatistical Programming Manager will be responsible for both hands-on programming as well as guiding junior programmers. Additionally, they will be responsible for manipulating large databases and generating reports to enable epidemiologists to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a bachelors degree and have at least six years of relevant career experience in statistical programming. Proficiency in SAS and SQL programming is required, while experience with R and Python is preferred. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential Basic Qualifications: Bachelors degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject. At least 68 years of relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting Preferred Qualifications: Masters degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience: Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials Team management Global collaboration Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery Statistical programming: SAS and SQL required; R and Python preferred Experience working with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies Hands-on programming and lead role Expert statistical programming knowledge using SAS or R Required: SAS Required: SQL Required: Experience with data quality or data quality platforms (for example: Informatica, Ataccama) Preferred: Python Preferred: R Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Drug development life cycle Statistics and basic epidemiology: Incidence and prevalence Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail