Associate Director of Phenomics
GlaxoSmithKline, Collegeville, PA, United States
Associate Director of Phenomics
We are seeking a highly skilled and experienced individual to join our team as an Associate Director of Phenomics. The successful candidate will have extensive experience in epidemiology, real‑world data (RWD), and biostatistics who is passionate about applying these skills to large, diverse human cohorts with real‑world health data linked to genetics and other -omics to support drug discovery and development. They should have advanced methods capability across multiple data sources, strong stakeholder communication, project organization, and multidisciplinary team leadership. The Associate Director will drive creative solutions and work with agility to address challenging scientific questions, becoming a thought‑leader for integration of deep, longitudinal EHR data with genetic and genomic data.
Key Responsibilities
Leverage longitudinal RWD and other observational data from large, diverse human cohorts linked to genetics and other -omics to create advanced phenotypes describing disease severity, progression, sub‑populations, biomarker trajectories, and advanced health outcomes.
Lead the design, delivery, and communication of custom analyses requiring advanced epidemiologic and statistical approaches to answer challenging scientific questions for business development, portfolio decisions, or other GSK‑critical requests where integration of RWD with -omic data is an important component.
Advance novel methods (e.g., AI/ML, mediation, interaction, prediction, etc.) that improve our ability to develop novel phenotypes and analyses.
Identify and communicate strengths, limitations, confounders, and potential biases for downstream genetic or other -omic analyses that leverage inputs derived from RWD or other observational data.
Basic Qualifications
Advanced degree (PhD or equivalent) in a relevant scientific discipline.
5+ years of experience in innovation and application of RWD from large cohorts to answer diverse scientific questions across therapeutic areas.
5+ years of experience in performing a range of statistical approaches supporting analyses of analytic cohorts, defining exposures, and measuring associations against diverse exposures and outcomes.
3+ years of experience delivering novel insights from complex EHR data individually or through leadership of a team.
3+ years of experience in R programming.
3+ years of experience in epidemiology and causal inference; demonstrated ability to apply advanced methods to diverse datasets and communicate methods and findings to stakeholders.
Preferred Qualifications
Hands‑on experience integrating RWD with proteomic and/or other genetic & genomic data in biobank‑scale cohorts.
Strong leadership, collaboration and partnership skills to work effectively with cross‑functional teams.
Excellent communication and presentation skills, including generation of figures and tables to visualise results for stakeholders.
Ability to identify strengths, limitations, potential confounders and bias from the use of RWD and other observational data and develop/implement strategies to address these issues.
Proven project leadership/management for small teams focused on data quality and delivering results to diverse stakeholders.
Excellent problem‑solving and analytical skills to address complex scientific questions.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
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Key Responsibilities
Leverage longitudinal RWD and other observational data from large, diverse human cohorts linked to genetics and other -omics to create advanced phenotypes describing disease severity, progression, sub‑populations, biomarker trajectories, and advanced health outcomes.
Lead the design, delivery, and communication of custom analyses requiring advanced epidemiologic and statistical approaches to answer challenging scientific questions for business development, portfolio decisions, or other GSK‑critical requests where integration of RWD with -omic data is an important component.
Advance novel methods (e.g., AI/ML, mediation, interaction, prediction, etc.) that improve our ability to develop novel phenotypes and analyses.
Identify and communicate strengths, limitations, confounders, and potential biases for downstream genetic or other -omic analyses that leverage inputs derived from RWD or other observational data.
Basic Qualifications
Advanced degree (PhD or equivalent) in a relevant scientific discipline.
5+ years of experience in innovation and application of RWD from large cohorts to answer diverse scientific questions across therapeutic areas.
5+ years of experience in performing a range of statistical approaches supporting analyses of analytic cohorts, defining exposures, and measuring associations against diverse exposures and outcomes.
3+ years of experience delivering novel insights from complex EHR data individually or through leadership of a team.
3+ years of experience in R programming.
3+ years of experience in epidemiology and causal inference; demonstrated ability to apply advanced methods to diverse datasets and communicate methods and findings to stakeholders.
Preferred Qualifications
Hands‑on experience integrating RWD with proteomic and/or other genetic & genomic data in biobank‑scale cohorts.
Strong leadership, collaboration and partnership skills to work effectively with cross‑functional teams.
Excellent communication and presentation skills, including generation of figures and tables to visualise results for stakeholders.
Ability to identify strengths, limitations, potential confounders and bias from the use of RWD and other observational data and develop/implement strategies to address these issues.
Proven project leadership/management for small teams focused on data quality and delivering results to diverse stakeholders.
Excellent problem‑solving and analytical skills to address complex scientific questions.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
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