GSK

Associate Director – Phenomics

GSK

full-time

Posted on:

Location Type: Office

Location: Upper ProvidencePennsylvaniaUnited States

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About the role

  • Leverage longitudinal, RWD and other observational data derived from large, diverse human cohorts linked to genetics and other -omics to create novel, advanced phenotypes that describe disease severity, disease progression, disease sub-populations, biomarker trajectories, and more advanced health outcomes.
  • Proactively lead the design, delivery, and communication of custom analyses requiring advanced epidemiologic and/or statistical approaches to answer challenging scientific questions required for business development, portfolio decisions, or other GSK-critical requests where the integration of RWD with -omic data is an important component.
  • Advance novel methods ( e.g. AI/ML, mediation, interaction, other prediction, …) that improve our ability to develop novel phenotypes and analyses (as described above).
  • Identify and communicate the strengths, limitations, confounders, and potential biases for any downstream genetic or other -omic analyses that leverage inputs derived from RWD or other observational data.

Requirements

  • Advanced degree (PhD or equivalent) in a relevant scientific discipline.
  • Five or more years of experience in innovation and application of real-world data (RWD) and other observational data from large cohorts to answer diverse scientific questions across therapeutic areas.
  • Five or more years of experience in performing a range of statistical approaches supporting the analyses of identifying analytic cohorts, defining exposures, and measuring associations against diverse types of exposures and outcomes.
  • Three or more years of experience of delivering novel and impactful insights from complex EHR data individually, or through leadership of a team.
  • Three or more years of experience in R programming.
  • Three or more years of experience in Epidemiology and causal inference; demonstrated ability to apply advanced Epidemiology / causal inference to diverse datasets; and communicate methods and findings to a broad set of stakeholders.
Benefits
  • Health insurance
  • Paid time off
  • Flexible working hours
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
real-world data (RWD)observational datastatistical approachesEHR dataR programmingepidemiologycausal inferenceAI/MLadvanced phenotypesdata analysis
Soft Skills
leadershipcommunicationproblem-solvinginnovationteam collaborationcritical thinkingstakeholder engagementanalytical thinkingproject managementadaptability
Certifications
PhD or equivalent