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Job Description

Role Summary

Lead the strategy platform build-out and adoption of AI/ML across Research for global digital transformation effort making AI agents models and tools a daily accessible part of wetlab and drylab scientists workflows. Translate AF priorities into a practical compliant AI services layerdata foundations MLOps agentic assistants model governance and change enablementthat shortens time from experiment to insight and elevates decision quality across discovery programs.

Objectives / Purpose

• Define and execute a multiyear AI/ML roadmap aligned to Research use cases and KPIs.
• Establish an AIready data foundation (FAIR-by-design) and scientistfacing 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.

Scope / Impact

Global Research scope with crosssite collaboration (US/EU/JP). Direct impact on data-to-decision latency assay/analysis reproducibility and portfolio productivity. Partner with operations Computational Sciences & Data Strategy IT function leads and platform teams to deliver outcomes at scale.

Accountabilities

Strategy & Roadmap

• Own Researchs AI/ML strategy and sequencing (MVP scale) across wetlab drylab integration and selfservice tools.
• Align priorities with Researchs KPIs and portfolio goals; establish and monitor achievement of success criteria and milestones.

Platform Data & Integration

• Guide the development of AIready 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.

Agentic AI & Productization

• 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).

Adoption & Change Enablement

• Lead adoption via superuser networks training and communications; coown readiness plans with NCSP.
• Work with Change Management leads to publish playbooks and guardrails enabling selfservice AI workflows for scientists.

Governance Risk & Compliance

• Define and Implement Responsible AI and riskbased governance (ALCOA validation mindset audit trails XAI privacy/PII controls).

Impact & Reporting

• Own measurable impact (adoption latency reproducibility ROI) and provide transparent reporting to R&D leadership and key stakeholders.

Qualifications

Required

• PhD degree in a scientific discipline with 10 years experience or

• MS with 16 years experience or BS with 18 years experience (preferably in Advanced degree in Computer Science AI/ML Computational Biology/Chemistry Bioinformatics or related; or equivalent industry experience.)

• Proven MLOps platform build and delivery of scientistfacing AI tools embedded in ELN/LIMS/instrument workflows.

• Expertise in FAIR data scientific data models/ontologies and integration across wetlab instruments imaging and omics.

• Experience with Responsible AI and GxPadjacent 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.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors including the qualifications of the individual applicant for the position years of relevant experience specific and unique skills level of education attained certifications or other professional licenses held and the location in which the applicant lives and/or from which they will be performing the actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

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.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race color religion sex sexual orientation gender identity gender expression parental status national origin age disability citizenship status genetic information or characteristics marital status status as a Vietnam era veteran special disabled veteran or other protected veteran in accordance with applicable federal state and local laws and any other characteristic protected by law.

Locations

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Time Type

Job Exempt