Associate Director, In Vivo Digital Portfolio & Data Stewardship

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We are seeking an experienced Associate Director of In Vivo Digital Portfolio & Data Stewardship to drive digital enablement and data quality across our preclinical in vivo research organization. This role will bridge science, operations, and technology—ensuring seamless integration of study workflows, regulatory compliance, and data interoperability across platforms.

• Digital Strategy &
  
  Roadmap:
  
  Partner with Research, digital (RDDT) teams to define and implement the digital vision for in vivo workflows.
• Preclinical Study Workflow Support: Guide the design and optimization of study processes, spanning protocol setup, randomization, dosing, in life data collection, observations, sample collection, necropsy, and reporting.
• Data Stewardship & Interoperability: Ensure robust data standards and harmonization (animal IDs, sample IDs, study IDs) across systems such as Benchling In Vivo, Tetrascience, Pristima, and Studylog, enabling seamless interoperability with sample registration, study identification, and electronic lab notebooks (eLN).
• Integration of CRO Datasets: Lead the ingestion, mapping, and standardization of external CRO‑generated in vivo datasets into internal workflows (e.g., Benchling In Vivo), ensuring data consistency, regulatory alignment, and reusability for downstream analytics.
• Vivarium Operations & Compliance: Support digital workflows in animal care, cage/room management, and compliance with IACUC/GLP standards.
• Cross‑Functional
  
  Collaboration:
  
  Serve as a trusted partner across Research Units, Digital R&D, Quality, and Operations to ensure business needs are aligned with digital delivery.
• Audit & Data Integrity: Champion ALCOA+ principles, ensuring audit‑readiness of all in vivo data and compliance with electronic record‑keeping regulations.
• Metrics & Adoption: Define, monitor, and report on study‑level KPIs (e.g., cycle times, missed observations, protocol deviations, adoption rates).

• Drive alignment of in vivo study data with FAIR principles (Findable, Accessible, Interoperable, Reusable) to ensure high‑value reusability of preclinical endpoints.
• Establish and maintain ontologies and controlled vocabularies to harmonize study designs, procedures, and endpoints across systems and therapeutic areas.
• Implement GUPRIs (Globally Unique Persistent Identifiers) for animals, samples, procedures, and endpoints to enable consistency and traceability across workflows.
• Build the digital foundation that allows reuse of in vivo endpoints for advanced analytics, machine learning, and AI‑driven insights.
• Partner with data science teams to ensure in vivo data structures support predictive modeling, translational alignment, and decision‑making.

• Deep understanding of in vivo preclinical study workflows and ability to engage with both scientific and technical stakeholders.
• Knowledge of vivarium operations, including cage/room management, animal identification, and regulatory compliance (IACUC, GLP).
• Proven expertise in data modeling and interoperability for animal and procedure‑level data across digital platforms.
• Strong communication skills with the ability to translate complex workflows into digital requirements.
• Experience with workflow‑driven platforms such as Benchling In Vivo, Benchling eLN, Pristima, and Studylog.
• Demonstrated leadership in driving cross‑functional alignment and influencing adoption of new tools and standards.
• Bachelor’s or Master’s degree in Life Sciences, Data Science, or a related field.
• 5–10 years’ experience in the Pharma or Biotech industry, with a singular focus on preclinical in vivo research and a secondary focus on digital enablement and data stewardship.

• Experience in therapeutic area–specific in vivo workflows (e.g., DDU).
• Background in PKPD modeling and end‑to‑end in vivo/ex vivo workflows.
• Ex…