Scientific Director, Pathology

Objective / Purpose

• Provide scientific and strategic leadership to embed AI/ML-enabled pathology and digital pathology into nonclinical research workflows.
• Partner with the NCSP iDigPath team to advance AI/ML for quantitative, high-content pathology analysis to improve sensitivity, reproducibility, and translational relevance of tissue endpoints.
• Implement workflows integrating digital pathology into target validation, efficacy/safety assessment strategies, primary evaluation and peer review of specimens/data, and study reports.

Accountabilities

• Serve as an NCSP Project Pathologist and/or Project Toxicology representative; provide anatomic/clinical pathology and toxicology expertise and collaborate with R&D leaders.
• Lead pathology contributions to target validation and MoA understanding via integrated pathology, pharmacology, and biomarker interpretation.
• Provide scientific leadership for fit-for-use qualification of AI/ML pathology tools and digital endpoints, including governance for data quality and model performance.
• Provide IHC, ISH, and spatial endpoint expertise with iPath/iTox, DMPK, and Drug Discovery Units.
• Perform and peer-review macroscopic/microscopic primary reads of animal tissues; communicate findings and recommendations via reports and meetings.
• Author/review regulatory documents (BB, IND, IB, DSUR, BLA, MAA, NDA, JNDA) and respond to health authorities.
• Represent Takeda in toxicology/pathology meetings and professional committees/consortia.

Education & Qualifications

• DVM (or equivalent) and Ph.D.
• Board certification (ACVP/ECVP/JCVP).
• Proficiency in veterinary anatomic and/or clinical pathology.
• 10+ years pharmaceutical drug development experience.
• Experience with alternative modalities (desired): oligonucleotides, antibodies/conjugates, small molecules, alternative routes.

Skills

• Strong decision-making, data analysis/interpretation, critical thinking.
• Excellent written/oral communication; leadership and collaboration/mentoring.
• Working knowledge of digital pathology platforms (Halo-link, Halo, Visopharm, Patholytix, Pristima/Provantis, Benchling ELN) and quantitative image analysis.
• Track record leading transformational initiatives in digital pathology/computational biology/translational science.

Compensation & Benefits (if applicable)

• U.S. Base Salary Range (Boston, MA): $177,000.00–$278,080.00.
• Possible incentives and benefits (medical/dental/vision, 401(k) match, disability, life insurance, tuition reimbursement, paid time off, etc.).