OneTrust

Senior Director, Head of Data Science – Digital Health, Therapeutics Discovery

OneTrust

full-time

Posted on:

Location Type: Hybrid

Location: Spring House • Massachusetts, Pennsylvania • 🇺🇸 United States

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Salary

💰 $196,000 - $342,700 per year

Job Level

Senior

About the role

  • Develop and execute a comprehensive data strategy for TD, focusing on advanced automation, data integration, and FAIR data practices; in close alignment with TD and IT.
  • Lead the design and implementation of scalable data pipelines to support discovery workflows.
  • Partner with TD leaders to build strong external partnerships with industry consortia and academic partners pertaining to Data Science needs for TD.
  • Co-Champion data governance, analytics, model lifecycle management (MLOps), and Responsible AI standards into reusable capabilities that can be shared elsewhere in the organization.
  • Lead a core team of data scientists and engineers to support TD in reaching its strategic goals.
  • Collaborate with TD teams (such as: In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce emerging technologies such as generative and agentic AI, multimodal analytics, and advanced automation tools that benefit TD’s business objectives.
  • Collaborate with TD teams (such as: In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce data and technology innovation standards.
  • Works with peers across Discovery, Product Development, & Supply (DPDS) and our Therapeutic Areas to generate and analyze our data in the best way possible for opportunities in Therapeutic Discovery (for example: experiment design, molecule design, lab process automation, etc.)

Requirements

  • PhD or equivalent experience in Computational Biology, Chemistry, AI/ML, Applied Math/Statistics or related field.
  • 12+ years in data science for drug discovery, with experience leading teams in a matrix setting.
  • Proven expertise in creating high impact R&D innovations through data science, data engineering, and automation within scientific domains.
  • Strong experience leading the application/creation of ML/AI methods while demonstrating a deep understanding of drug discovery workflows.
  • Demonstrated success in delivering interoperable data products and scalable analytics platforms.
  • Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization.
Benefits
  • Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
  • This position is eligible to participate in the Company’s long-term incentive program.
  • Vacation –120 hours per calendar year
  • Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
  • Holiday pay, including Floating Holidays –13 days per calendar year
  • Work, Personal and Family Time - up to 40 hours per calendar year
  • Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
  • Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
  • Caregiver Leave – 80 hours in a 52-week rolling period
  • Volunteer Leave – 32 hours per calendar year
  • Military Spouse Time-Off – 80 hours per calendar year

Applicant Tracking System Keywords

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

Hard skills
data strategydata integrationdata pipelinesMLOpsResponsible AIdata governanceautomationmachine learningartificial intelligencedata engineering
Soft skills
leadershipcommunicationcollaborationmatrix leadershippartnership buildingteam managementstakeholder engagementstrategic thinkingproblem-solvinginnovation
Certifications
PhD in Computational BiologyPhD in ChemistryPhD in AI/MLPhD in Applied MathPhD in Statistics