Job Description:
A leading global biotechnology company is growing its Predictive Sciences team within US Commercial. The team builds the machine learning and AI models that decide which patients get found, started on therapy, and kept on therapy, and how the field engages the physicians who treat them. We're hiring at two levels: a hands-on Senior Manager who builds these models, and an Associate Director who is also hands on but leads the program and a team of data scientists.
MUST HAVE 3+ YEARS OF COMMERCIAL PATIENT MODELING
Location: Cambridge, MA or RTP onsite 3 days a week
What you'll do
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Build patient predictive models for patient identification, segmentation, treatment initiation, adherence, and persistence, from design and validation through deployment
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Model the patient journey, including treatment patterns, disease progression, and the signals that show who is likely to be diagnosed, start therapy, switch, or drop off
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Predict HCP behavior to inform provider targeting and engagement strategy
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Integrate real-world data, combining claims, EHR, specialty pharmacy, and commercial data into analysis-ready patient-level datasets
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Turn models into decisions by partnering with Commercial, Medical Affairs, Insights & Analytics, Data Management, and IT to make findings actionable
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Set and uphold standards for model monitoring, governance, and continuous improvement
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Communicate clearly to commercial leadership; at the AD level, to the executive team
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Manage external vendors and consulting partners
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Associate Director only: lead and mentor a team of data scientists and analytics professionals, and own the AI and predictive analytics roadmap for US Commercial
What you bring
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Hands-on experience building patient-level predictive models in US commercial pharma or biotech, such as patient finding, adherence and persistence, or treatment initiation
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Working knowledge of commercial pharma data: IQVIA, Symphony Health, Komodo, Veeva, and claims and EHR datasets
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Strong Python and SQL; experience with Databricks, Snowflake, and Power BI
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Depth in machine learning, statistical modeling, predictive analytics, and optimization
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Ability to explain complex models to non-technical commercial stakeholders
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An advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field
Senior Manager: Bachelor's with 5+ years or Master's with 3+ years of relevant experience, including 3+ years supporting US commercial pharma/biotech.
Associate Director: Master's or PhD; 8+ years in data science or advanced analytics, including 5+ years supporting US commercial pharma/biotech and 3+ years leading technical teams or large cross-functional initiatives.
Keywords: Predictive analytics, Commercial Pharmaceuticals, Data Science, Patient Modeling
Qualified candidates, please send your resume to Ilana Raz, Ilana@analyticrecruiting.com | For more opportunities, please visit www.analyticrecruiting.com
