Associate Director Modeling - Evidence Acceleration & Innovation

Field · Uxbridge, United KingdomPosted Jul 1, 2026
Career Areas Career Stories Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Careers Home Life at BMS Career Areas Student Opportunities Events How We Recruit Career Stories Search this site Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Single PositionView All JobsAssociate Director Modeling - Evidence Acceleration & InnovationField - United States - US +1 moreApply NowFind out how well you match with this jobUpload your resumeJob descriptionLife at BMSWorking with UsChallenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.Summary:Provide expert modeling, AI, and programming capabilities to GHEOR TA teams. Deliver / execute market level CE model adaptations using the BMS GHEOR EAI Generative AI tool suite. Execute early economic models for pipeline decision making. Lead automation workstreams using AI methods. Highly competent matrix collaborator. Active membership and reviewing within the Model Protocol Review Committee.Responsibilities:Develop best in class innovative HTA methodology that ensures optimum access for BMS portfolio including (but not limited to) advancing MAx AI capabilities that increase speed to patient and/or reduced operating costs.Lead the BMS external strategy to evolve payer/HTA agency methodology in the assessment of the value of BMS portfolio.Act as scientific leader to MAx in the latest modeling methodology that optimizes the assessment of BMS assetsHorizon scan latest advances in HTA methodology from academia, payers and competitors embedding key learningsPartner with GHEOR asset leads and BMS affiliates to implement the MAx AI based model adaptations program – work effectively with BMS internal EAI contractor teamDeliver structural updates to economic modelsProvide expert level support in development of cost-effectiveness and budget impact models in collaboration with cross-functional local, regional and global teamsProvide early HEOR analytics to inform pricing strategies for CE archetypes as requestedProvide modelling input to Value Story development and updatesInterpret clinical studies results and plan additional statistical analyses needed for core models and model adaptations, including indirect treatment comparisonsEngage in timely and effective communication to HTA and reimbursement authorities as requested / required by matrix teamsQualifications:Doctorate Degree (PhD) or Master’s (MSc) in health economics or related relevant discipline10 years of health economics and outcomes research experienceExperience using Visual Basic, and software including R, Python, OPEN BUGS and JAGs, ideally with the ability to program, interpret and...

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