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Strong employer brand and metro location but niche senior computational biology role.
Highly specialized computational biology and clinical trial expertise limits transferability across industries.
Requires PhD/Master's plus 8+ years, deep domain expertise, publications, and production-grade analytical code.
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Design and implement predictive and prognostic biomarker models integrating multi-omic and clinical trial data to inform disease stratification, efficacy, and safety.
Develop and advance AI-driven analytical platforms including foundation models, generative models, and agentic AI systems to support translational insights from clinical development data.
Collaborate globally with biomarker scientists, clinicians, and biostatisticians to translate biological questions into interpretable, scalable models impacting precision medicine strategy.
PhD or Master’s in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science, Data Science or related quantitative field.
If Master’s degree: 8+ years relevant experience; with 3-5 years relevant experience + 2-3 years industry experience acceptable.
Proven expertise in Python and R for scientific computing and modeling.
Experience designing and validating machine learning/statistical models on multi-omic or clinical trial data.
Demonstrated end-to-end ownership of analytical projects that influenced scientific or drug development decisions in clinical or translational settings.
Depth in building modeling frameworks beyond standard application, emphasizing biological and clinical relevance.
Experience working in large, global biotech or pharmaceutical organizations, collaborating across time zones and disciplines.