Senior Research Scientist (RWE) - Custom Solutions and Services

Responsibilities

• Act as a principal investigator on client-facing RWE solutions engagements, accountable for the study design, analytics specification, conduct, and reporting of real-world oncology studies
• Design and execute studies leveraging predictive modeling and causal inference methodologies to support evidence generation and decision-making for medical affairs, clinical development, and related strategic use cases.
• Collaborate with cross-functional stakeholders to devise proposals for RWE data, analytics, and consulting solutions for customer use cases across the oncology product lifecycle
• Engage with clients to drive demand and buy-in for study concepts by demonstrating a deep understanding of the strategic scientific context behind a customer's asset, EHR-derived real-world data, and epidemiologic approaches
• Provide scientific oversight to study team co-investigators and programmers to produce high quality client-facing protocols and statistical analysis plans, ensure accurate implementation of analyses in accordance with study plans, and report valid and reliable results
• Have accountability over project scope, including identifying scope expansion and the need for amendments or additional project budget to complete additional research objectives requested by clients
• Drive repeat business with external stakeholders by fostering a collaborative, productive research environment and through successful delivery of scientifically rigorous study materials

Requirements

• You hold a Master's degree in Epidemiology, Biostatistics, Health Economics and Outcomes Research, Data Science (or closely related field) with 7-8 years of relevant experience or a PhD with 4-5 years of relevant experience.
• You have experience in oncology and a deep understanding of observational data and have a track record of success applying epidemiologic approaches and advanced statistical methods to problems in the public health and/or pharmaceutical industry
• You are familiar with predictive modeling or AI methods for solutions supporting oncology clinical development, RWD/RWE, or other regulated healthcare decision-making contexts
• You have experience contributing to the development of machine learning or predictive modeling solutions for clinical research or clinical care applications such as digital twins or clinical trial simulations
• You are proficient in R programming
• You have experience with EHR-derived real-world data and/or claims data
• You have consulting experience within the healthcare domain and are skilled at building and navigating client relationships
• You are an excellent communicator, with experience drafting and developing complex, technical documentation and delivering presentations to scientific audiences
• You have strong organizational, time-management, prioritization and decision-making skills necessary to evaluate, plan and implement multiple high-visibility projects in a timely fashion
• You have the ability to work effectively in a fast-moving, constantly changing, diverse, and matrix environment
• You are passionate about our mission to improve healthcare through technology
• You can deliver messages in a clear and concise way and can articulate complex information to clients in an easy-to-digest format
• Where you'll work
• In this hybrid role, you'll have a defined work location that includes work from home and 3 office days set by you and your team. For more information on our approach to hybrid work, please visit the how we work website.

Benefits

Additional Information

Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem. We're looking for a Senior Research Scientist to help us accomplish our mission to improve lives by learning from the experience of every cancer patient. Are you ready to be the next changemaker in cancer care?

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