Senior Research Scientist, Decision Modeling

Do you consider yourself a self-starter with a real passion for projects involving innovative methods in economic modelling and evidence synthesis? Do you love collaborating, moving the ball forward and rolling up your sleeves? We are growing and seeking a Senior Research Scientist, Economic Modelling to join our team in Europe (working out of our London office OR remote [100% or hybrid]).   

Our culture is similar to that of a start-up, but in a well-funded established global portfolio organization. We pride ourselves on being leaders with vision in our field! Below are some examples of recent work we have published as part of our efforts to support our clients:

• Kuznik A, Smare C, Chen CI, et al. Cost-effectiveness of Cemiplimab versus standard of care in the United States for first-line treatment of advanced non- small cell lung cancer with programmed death-ligand 1 expression ≥50. Value Health. 2022;25(2):203–214. https://doi.org/10.1016/j.jval.2021.08.009
• Smare C, Lakhdari K, Doan J, et al. Evaluating partitioned survival and Markov decision-analytic modeling approaches for use in cost-effectiveness analysis: estimating and comparing survival outcomes. Pharmacoeconomics. 2020;38(1):97–108. https://doi.org/10.1007/s40273-019-00845-x
• Cope S, Chan K, Campbell H, et al. A Comparison of Alternative Network Meta-Analysis Methods in the Presence of Nonproportional Hazards: A Case Study in First-Line Advanced or Metastatic Renal Cell Carcinoma. Value in Health. 2023;26(4):465-476. https://doi.org/10.1016/j.jval.2022.11.017

We are looking for someone who:

• Demonstrates understanding of the pharmaceutical industry, medical affairs, and requirements for health technology assessment
• Has sufficient understanding of relevant methods to be able to oversee model parameterization
• Performs model conceptualization, programming, analysis, and validation
• Can identify considerations relevant to the model development given available evidence and communicate these within deliverables (e.g., protocol and technical reports)

What you can expect day to day:

• Developing client-ready deliverables including protocols, models, technical reports, and slides
• Contributing to short-term resourcing discussions
• Managing the delivery of components of projects by collaborating with other staff members to ensure high quality outputs
• Helping ensure timely delivery and financial performance of projects or project subcomponents; estimating required hours and identifying challenges early on and communicating any changes as well as viable solutions to project leads if necessary
• Reviewing update slides/minutes and actions for overall study and viewed by clients as independent researcher for specific study or component(s)
• Leading client calls and responding to emails, inviting input from senior team members with methodological/subject matter expertise where appropriate
• Creating development plans and acting as a mentor for direct reports
• Contributing to development of proposals and presentations under guidance of more senior team members with methodological/subject matter expertise
• Participating in meetings related to new business, including concept ideation

Requisite experience and qualifications:

• 4 to 6 years’ experience in health economics and outcomes research
• Master’s degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health, or science (biology/biochemistry etc.)
• Proficiency with Microsoft Office, including Visual Basic Application
• Experience programming in R (preferred, not required)

Who We Are:

For today’s innovators of tomorrow’s cures, PRECISIONheor, part of Precision Medicine Group LLC, has the results-driven scientists, strategists and solutions our client's need to go from promises to proof, and evidence to access. We provide our clients with unified health economics and outcomes research, global pricing, access strategy and analytics, payer and physician pull-through, and data management. We have locations across the US, as well as in Vancouver, BC and London, England.