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
Senior DD&T leader for R&D Data & Quantitative Sciences (DQS), responsible for setting strategy, planning technology/data/AI portfolios, and leading a global team to transform quantitative science through AI and automation.
Locations (2)
Cambridge, Massachusetts, United States
Boston, Massachusetts, United States
Compensation
U.S. Base Salary Range: $212,000.00 - $333,190.00
Responsibilities
Serve as the primary DD&T partner and single point of contact for the DQS Leadership Team
Co-develop with DQS leadership a DD&T roadmap aligned to the DQS impact pillars
Represent DQS in DD&T planning, investment prioritization, and technology governance
Own the DQS technology portfolio end to end
Lead the DD&T contribution to the DQS priority initiatives, embedding AI and automation into core quantitative workflows
Advanced degree in statistics, biostatistics, pharmacometrics, data science, computer science, engineering or a related quantitative discipline preferred
