Director, Generative AI
Company: Takeda Pharmaceutical
Location: Cherry Hill
Posted on: November 14, 2023
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About the role:
At Takeda, we are a forward-looking, world-class R&D
organization that unlocks innovation and delivers transformative
therapies to patients. By focusing R&D efforts on four
therapeutic areas and other targeted investments, we push the
boundaries of what is possible in order to bring life-changing
therapies to patients worldwide. Join Takeda as a Director,
Generative AI, where you will educate, demonstrate, guide, and
enable the application of machine learning and particularly
generative AI in various pharmaceutical R&D operations and
scientific domains. You will partner with data science teams,
domain experts, and business units to identify and prioritize
opportunities to leverage machine learning and particularly
generative AI to drive decision making and automation across all
levels of the R&D organization. You will also translate
business needs into clearly scoped machine learning projects, and
take a hands-on approach to steer solution design and
How you will contribute:
Educate, demonstrate, guide, and enable the application of machine
learning and particularly generative AI in various pharmaceutical
R&D operations and scientific domains.
Partners with data science teams, domain experts, and business
units to identify and prioritize opportunities to leverage machine
learning and particularly generative 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
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
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
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. With 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. More specifically,Experience in
fine tuning large language models for domain specific
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
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 configuring and working in different coding
environments (local, notebooks, containers) and using standard
software engineering workflows (testing, code management/Git,
An enthusiasm to ask questions and try and learn new things is
Entrepreneurial experience is desirable.
Experience in life sciences and healthcare and experience in a
complex global organization is a plus.
What Takeda can offer you:
Comprehensive Healthcare: Medical, Dental, and Vision
Financial Planning & Stability: 401(k) with company match and
Annual Retirement Contribution Plan
Health & Wellness programs including onsite flu shots and health
Generous time off for vacation and the option to purchase
additional vacation days
Community Outreach Programs and company match of charitable
Family Planning Support
Flexible Work Paths
More about us:
At Takeda, we are transforming patient care through the development
of novel specialty pharmaceuticals and best in class patient
support programs. Takeda is a patient-focused company that will
inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating
careers, encourages innovation, and strives for excellence in
everything we do. We foster an inclusive, collaborative workplace,
in which our teams are united by an unwavering commitment to
deliver Better Health and a Brighter Future to people around the
This position is currently classified as "remote" in accordance
with Takeda's Hybrid and Remote Work policy.
Base Salary Range: $ 165,200 to $ 236,000, based on candidate
professional experience level. Employees may also be eligible for
Short-term and Long-Term Incentive benefits as well. Employees are
eligible to participate in Medical, Dental, Vision, Life Insurance,
401(k), Charitable Contribution Match, Holidays, Personal Days &
Vacation, Tuition Reimbursement Program and Paid Volunteer Time
Off. This posting is made in compliance with Colorado's Equal Pay
for Equal Work Act, C.R.S. - 8-5-101 et seq
The final salary offered for this position may take into account a
number of factors including, but not limited to, location, skills,
education, and experience.
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.
Boston, MAWorker Type
Keywords: Takeda Pharmaceutical, Cherry Hill , Director, Generative AI, Executive , Cherry Hill, New Jersey
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