Lead data science and governance initiatives across R&D scientific platforms at Elanco.
Responsibilities
Define and operationalize R&D-wide data governance policies and SOPs
Advise on data attributes, metadata standards, ontologies, and master data models
Drive data readiness across R&D scientific platforms such as ARCHI, Benchling, Revvity, and Clinical Systems
Design, build, and deploy machine learning and statistical models using harmonized data
Implement automated data quality frameworks and monitoring
Requirements
Bachelor's degree in Data Science, Computer Science, Bioinformatics, Computational Biology, Information Systems, Operations Research, or related quantitative/life sciences discipline
Master's degree in same fields
Nice to have: Biomedical ontologies (MeSH, SNOMED, ChEMBL, CDISC/SDTM/ADaM)
Responsible for supporting the design, deployment, configuration, and oversight of electronic Clinical Outcome Assessment (eCOA) solutions and Randomization and Trial Supply Management (RTSM) across global clinical studies.
Responsibilities
Act as eCOA and RTSM subject matter expert during study start-up, maintenance, and close-out
Define functional requirements and participate in the design and configuration of eCOA and RTSM solutions
Draft and maintain system specifications, user requirements, edit checks, notifications, and reporting requirements
Assist with the design of eCOA-related Case Report Forms (CRFs)
Create User Acceptance Testing (UAT) test scripts and coordinate or perform system validation testing
Requirements
Bachelor’s degree in Life Sciences, Computer Science, Health Sciences, or related field
Lead Biostatistician embedded in a global biotech team focused on autoimmune disease, designing and implementing statistical methodologies for complex clinical trials and research projects.
Compensation
The salary range estimated for this position based in Massachusetts is $135,000.00–$175,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.
Responsibilities
Design and implement statistical methodologies for complex clinical trials and research projects
Collaborate with cross-functional teams
Provide strategic guidance on study design and analysis
Contribute to innovative research and advance possibilities for people living with autoimmune disease
Requirements
Advanced Degree in Biostatistics, Statistics, or a closely related quantitative field
Bachelor's Degree in Biostatistics, Statistics, or a closely related quantitative field
Lead a multidisciplinary team to generate high-quality clinical intelligence and evidence across the Breast & Gynaecology portfolio using real-world evidence and AI.
Compensation
The annual base pay for this position ranges from $ 203.213,60 - 304.820,40 Annual USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program.
Responsibilities
Define and evolve the Clinical Intelligence & Evidence strategy for Breast & Gynaecology
Provide scientific leadership in epidemiology and Real-World Evidence
Work closely with drug development teams to translate clinical and portfolio questions into research objectives
Apply Real-World Evidence to support clinical development questions
Shape the appropriate use of machine learning and AI within Real-World Evidence
Requirements
Advanced degree (PhD, MPH, MD, or MSc) in Statistics, Epidemiology, Public Health, Data Science, Mathematics, or related field
Nice to have: Oncology breast and/or gynaecological cancers
The annual base pay for this position ranges from $ 203.213,60 - 304.820,40 Annual USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program.
Responsibilities
Define and evolve the Clinical Intelligence & Evidence strategy for Breast & Gynaecology
Provide scientific leadership in epidemiology and Real-World Evidence
Work closely with drug development teams to translate clinical questions into research objectives
Apply Real-World Evidence to support clinical development questions
Shape the appropriate use of machine learning and AI within Real-World Evidence
Requirements
Advanced degree (PhD, MPH, MD, or MSc) in Statistics, Epidemiology, Public Health, Data Science, Mathematics, or related field
Nice to have: Experience within Oncology, particularly Breast and/or Gynaecological cancers
Nice to have: Hands-on experience in data science, machine learning and predictive modelling
Nice to have: Familiarity with advanced approaches such as Bayesian inference, temporal modelling, multimodal modelling, foundation models, and model interpretability and evaluation
Nice to have: Experience with clinical text, electronic health records, imaging or molecular data, including genomics in clinical care or translational medicine
Own the vision, strategy, governance, adoption, and continued development of our Clinical Data Layer, enabling study delivery, regulatory submissions, analytics, automation, and artificial intelligence-enabled workflows across the clinical development lifecycle.
Locations (4)
Brussels, Brussels Capital, Belgium
Monheim, Bavaria, Germany
Slough, Berkshire, United Kingdom
Raleigh, United States
Responsibilities
Define and communicate the long-term vision, roadmap, investment case, and business strategy for the Clinical Data Layer.
Establish governance for data products, metadata, reference data, quality controls, access, stewardship, and measures of platform value.
Own the vision, strategy, governance, adoption, and continued development of our Clinical Data Layer, enabling study delivery, regulatory submissions, analytics, automation, and artificial intelligence-enabled workflows across the clinical development lifecycle.
Locations (4)
Brussels, Brussels Capital, Belgium
Monheim, Bavaria, Germany
Slough, United Kingdom
Raleigh, United States
Responsibilities
Define and communicate the long-term vision, roadmap, investment case, and business strategy for the Clinical Data Layer
Establish governance for data products, metadata, reference data, quality controls, access, stewardship, and measures of platform value
As Associate Clinical Data Facilitator, you will ensure clinical trial data is accurate, compliant, and ready for submission. You will prepare forms for regulatory authorities and use tools like Python, VBA, and Power BI to automate processes.
Responsibilities
Own the quality and submission-readiness of clinical data forms for assigned trials.
Compile, bookmark, merge and hyperlink sample and completed (e)CRFs and appendices for Clinical Trial Reports and Non-interventional Study Reports.
Prepare (e)CRFs and CDISC submission documents (aCRF, cSDRG) to meet eCTD compliance standards.
Run electronic quality control checks and support submission deliverables at project level.
Support the decommissioning of EDC and eCOA systems, including retrieval and archival of audit trails and access reports.
Senior Director, AI for Clinical Intelligence & Evidence Breast & GynaecologyAstraZeneca · Gaithersburg, US
Clinical Data Layer LeadUCB · Monheim, Germany+3 more
Associate Clinical Data FacilitatorNovo Nordisk A/S · Bangalore, India