Takeda · 10 hours ago
Director, AI/ML Strategy and Technology Enablement
Boston, MA
Full-time
Onsite
Director/Executive
$174K/yr - $274K/yr
10+ years expTakeda is a global biopharmaceutical company focused on delivering better health and a brighter future for people worldwide. They are seeking a Director of AI/ML Strategy and Technology Enablement to lead the strategy and adoption of AI/ML across Research, facilitating a digital transformation effort. The role involves defining a multi-year AI/ML roadmap, establishing an AI-ready data foundation, and driving adoption through training and change management.
BiotechnologyHealth CareManufacturingMedicalPharmaceutical
Responsibilities
Define and execute a multi‑year AI/ML roadmap aligned to Research use cases and KPIs
Establish an AI‑ready data foundation (FAIR-by-design) and scientist‑facing AI tools embedded in ELN/LIMS/instrument workflows
Institutionalize Responsible AI & GxP-aware governance for production models
Drive adoption through super-user networks, training, and change management to achieve measurable value and ROI
Own Research’s AI/ML strategy and sequencing (MVP → scale) across wet‑lab ↔ dry‑lab integration and self‑service tools
Align priorities with Research’s KPIs and portfolio goals; establish and monitor achievement of success criteria and milestones
Guide the development of AI‑ready data foundations (provenance, metadata/ontologies, harmonization) across ELN/LIMS, instruments, imaging, and omics
Integrate platforms (e.g., ELN, SDMS & AI Cloud) to liberate, contextualize, and operationalize lab data for AI/ML
Stand up modern MLOps (CI/CD, registries, experiment tracking, monitoring) and secure service/APIs embedded in workflows
Design self-service and user-friendly processes for deployment of AI agents for scientists (literature triage, protocol assist, data QC, analysis pipelines, code helpers)
Guide engineering efforts to deliver production models (e.g., sequence/structure prediction, assay QC, outlier detection, multimodal analytics)
Lead adoption via super‑user networks, training, and communications; co‑own readiness plans with NCSP
Work with Change Management leads to publish playbooks and guardrails enabling self‑service AI workflows for scientists
Define and Implement Responsible AI and risk‑based governance (ALCOA+, validation mindset, audit trails, XAI, privacy/PII controls)
Own measurable impact (adoption, latency, reproducibility, ROI) and provide transparent reporting to R&D leadership and key stakeholders
Qualification
Required
Advanced degree in Computer Science, AI/ML, Computational Biology/Chemistry, Bioinformatics, or related; or equivalent industry experience
10+ years in AI/ML for life sciences; 5+ years strategic leadership delivering production AI in scientific environments
Proven MLOps platform build and delivery of scientist‑facing AI tools embedded in ELN/LIMS/instrument workflows
Expertise in FAIR data, scientific data models/ontologies, and integration across wet‑lab instruments, imaging, and omics
Experience with Responsible AI and GxP‑adjacent validation/governance in pharma/biotech R&D
Strong stakeholder management; ability to translate complex science/data into usable AI for end users
Preferred
Experience working in wet-labs and knowledge of Research and Development workflows and processes in either the biologics and/or small molecule fields
Agentic AI systems and LLMs for scientific contexts; multimodal ML (text/images/sequences/numerical)
Knowledge of Research/Pharma Sci common data models and cloud analytics/HPC integrations
Benefits
U.S. based employees may be eligible for short-term and/ or long-term incentives.
U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others.
U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.
Company
Takeda
Takeda is a biopharmaceutical company that researches and develops pharmaceutical drugs.
10001+ employees
H1B Sponsorship
Takeda has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (39)
2023 (38)
2022 (34)
2021 (44)
2020 (18)
Funding
Current Stage
Public CompanyTotal Funding
$2.46B2025-06-27Post Ipo Debt· $2.4B
2016-09-01Grant· $19.8M
2016-05-08Grant· $38M
Leadership Team
Christophe Weber
President and CEO
Schuyler Fairfield
Senior Vice President, Global Head of Supply Chain
Recent News
2026-01-14
Pharmaceutical Technology
2026-01-11
Company data provided by crunchbase