OneTrust

Senior Director, Head of Data Science – Digital Health, Therapeutics Development & Supply

OneTrust

full-time

Posted on:

Location Type: Hybrid

Location: Spring House • Pennsylvania • United States

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Job Level

Senior

Tech Stack

Cloud

About the role

  • Partner to define and execute the TDS Data Science strategy aligned to TDS/DPDS priorities; build a multi-year roadmap for data, analytics, AI/ML (incl. GenAI); manage portfolio prioritization, funding, and value realization.
  • Enable scientists and engineers to build and expand scientific models by providing an ecosystem of tools, standards, and scalable capabilities.
  • Support citizen data scientists and DOS teams within TDS through training and frameworks, ensure model governance and interoperability, and create pathways to scale models for broader utilization and reuse.
  • Provide expert guidance and advanced data/modeling support where needed, while fostering collaboration across TDS modalities, DPDS, and the broader R&D organization.
  • Apply reliability modeling, image/signal analytics, and simulation to device/combination product performance and manufacturability.
  • Build forecasting, simulation and optimization engines for clinical supply, IRT signal integration, and risk-based inventory strategies; develop scenario planning/digital twin for clinical supply networks.
  • Co-own with DOS and JJT the data and ML platform architecture, MLOps, model monitoring, and governance for GxP contexts.
  • Lead targeted use of GenAI/LLMs for technical documentation, regulatory authoring aids, and knowledge acceleration.
  • Scout and partner with academia/startups/CROs on cutting-edge discovery, development and manufacturing analytics.
  • Build and lead a global team of data scientists, AI/ML engineers and applied statisticians; upskill TDS Scientists and Engineers with Data and AI/ML fluency.
  • Ensure data integrity, model validation, computerized systems compliance, and transparent model interpretability in regulated environments.

Requirements

  • PhD (or equivalent experience) in Chemical/Biochemical Engineering, Bioinformatics Pharmaceutical Sciences, AI/ML, Applied Math/Statistics or related field.
  • 15+ years applied data science/AI leadership in biopharma development/CMC and/or clinical supply, including experience leading multi-disciplinary teams in a matrix setting.
  • Demonstrated outcomes in process and analytical development or clinical supply analytics.
  • Fluency with modern ML techniques, and MLOps on cloud platforms; experience integrating with LIMS/ELN/MES.
  • Proven ability to synchronize tech and data science roadmaps, and drive portfolio value realization.
  • Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization.
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

Applicant Tracking System Keywords

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

Hard skills
data scienceAI/MLreliability modelingimage analyticssignal analyticssimulationforecastingoptimizationMLOpsmodel validation
Soft skills
collaborationleadershipcommunicationtraininginteroperabilitymodel governanceteam buildingstakeholder engagementmatrix leadershipupskilling
Certifications
PhD in Chemical EngineeringPhD in Biochemical EngineeringPhD in BioinformaticsPhD in Pharmaceutical SciencesPhD in AI/MLPhD in Applied MathPhD in Statistics