Takeda · 2 days ago
Director, Generative AI
Boston, MA
Full-time
Onsite
Director/Executive
$174K/yr - $274K/yr
8+ years expTakeda is a company focused on advancing the application of artificial intelligence in developing innovative medicine for patients. They are seeking a Director of Generative AI to partner with data science teams and business units to leverage machine learning and generative AI for decision making and automation within the R&D organization.
BiotechnologyHealth CareManufacturingMedicalPharmaceutical
Responsibilities
Partners with data science teams, domain experts, and business units to identify and prioritize opportunities to leverage machine learning and particularly generative AI and agentic AI to drive decision making and automation across all levels of the R&D organization
Translate business needs into clearly scoped machine learning projects, and take a hands-on approach to steer solution design and implementation
Educate, demonstrate, guide, and enable the application of machine learning and particularly generative AI in various pharmaceutical R&D operations and scientific domains
Identify, monitor, and validate relevant external AI/ML developments, cultivate relationships with external domain experts and partners, and report and present emerging novel developments within the organization to further innovation and shape long-term strategy and governance
Proactively build relationships across the company to inform your work and contribute to internal and external collaborations, through involvement in working groups, and the writing of insightful, engaging, and actionable opinion pieces that are easily digestible by internal decision makers and stakeholders
Be the leading voice for building common capability and approaches and for adopting best practices
Work in collaboration with our Ethics and Governance teams to ensure our AI/ML applications are developed ethically and provide broad benefits to our patients and business
Help talented, driven, enthusiastic AI/ML engineers and data scientists across the company grow professionally
Measure, document, and communicate impacts of the Center’s efforts
Qualification
Required
Deep knowledge of machine learning and artificial intelligence with extensive experience in Generative AI
A strong curiosity for a deeper understanding of human health and disease to deliver innovative medicine for patients
A track record of partnering cross-functionally with a wide range of stakeholders and cross-functional teams to develop and deploy novel data solutions in production environments
Demonstrated passion for making complex technology more accessible and the ability to communicate complex technical topics simply and convincingly to a wide range of audiences
Demonstrated ability in translating big picture business and product ideas into micro use cases and has a strong focus on solving core problems to deliver simple solutions
Experience recognizing and communicating the implications of emerging technologies
Excellent communication, prioritization, and interpersonal skills, with a high level of attention to detail
An advanced degree (M.S., PhD.) in mathematics, applied statistics, computer science, machine learning or similar
8+ years of experience architecting, building, launching, and maintaining end-to-end ML systems from whiteboard to production at scale across a range of models and platforms
Experience building agentic and LLM based solutions
Experience in fine tuning large language models for domain specific applications
Experience in designing transfer learning strategy to enable learning from small datasets
Demonstrated ability and authoritative knowledge in a variety of AI/ML problems and domains, with depth in at least two (computer vision, natural language processing, geometric deep learning, timeseries, reinforcement learning, multimodal learning, etc.)
Solid understanding of deep learning model architectures (C/RNN, attention/memory, autoregressive, etc.) and extensions (Transformer, LSTM, Autoencoders, etc.) as well as traditional ML models (k-means, KNN, decision trees, SVM, Bayesian/graphical models, Gaussian process, etc.) and their real-world advantages and drawbacks
Experience tuning, validating, optimizing, visualizing, and debugging these models in applied settings
Familiarity with ML Ops concepts related to testing, retraining, and monitoring models in production
Experience in delivering custom software solutions for complex R&D needs, leveraging both internal and external resources
Expertise in implementing DevOps practices to drive efficient development-to-operations transitions and ensure automation across workflows
Experience in configuring and working in different coding environments (local, notebooks, containers) and using standard software engineering workflows (testing, code management/Git, CI/CD)
An enthusiasm to ask questions and try and learn new things is essential
Preferred
Extensive experience working in Pharma or Biotech is optional
Entrepreneurial experience is desirable
Experience in life sciences and healthcare and experience in a complex global organization is a plus
Benefits
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
Well-being benefits
Up to 80 hours of sick time
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
Pharma Letter
2026-01-03
2025-12-30
Company data provided by crunchbase