R&D Quality Data AI Science Leader
Company: Takeda
Location: Boston
Posted on: November 14, 2024
Job Description:
By clicking the "Apply" button, I understand that my employment
application process with Takeda will commence and that the
information I provide in my application will be processed in line
with Takeda's and . I further attest that all information I submit
in my employment application is true to the best of my
knowledge.Job DescriptionJob Title: R&D Quality Data/AI Science
LeaderLocation: Cambridge, MAAbout the role:As an R&D Quality
Data AI Science Manager Lead, you will lead the implementation and
management of AI and GenAI data products with R&D and
enterprise stakeholders, ensuring compliance with company and
regulatory requirements. You will provide Machine Learning
expertise for complex and large-scale data projects to lead
insights and data-driven decision-making. You will be a subject
matter expert for Machine Learning framework and its application in
digital and innovation projects in R&D and enterprise. You will
report to the Head of Data & Digital R&D Quality.How you will
contribute:
- Develop and implement data models and algorithms to analyze
complex datasets related to pharmaceutical quality and
R&D.
- Leverage generative Artificial Intelligence (AI) and large
language models (LLM) to enhance data analysis, automate processes,
and produce insights.
- Collaborate with cross-functional teams to design and
accomplish experiments, ensuring data integrity and accuracy.
- Use statistical methods, machine learning (ML) techniques, and
LLMs to identify trends, patterns, and insights that inspire
decision-making.
- Provide expertise in designing, modeling and delivering digital
projects for R&D, technology teams and global DD&T experts;
understand, advise, and build data flow optimization including data
capture, integration and use.
- Subject Matter Expert for setting and maintaining GxP standards
for future state according to Takeda Software Development Lifecycle
(SDLC) policies and QMS - including digital products and new
technologies.
- Prepare and present detailed reports and visualizations to
partners, translating technical findings into applicable
recommendations.
- Lead the integration and advancement of AI technologies in
R&D Quality and partner with internal DD&T and DSI teams
using current industry trends, latest technologies, and best
practices in data science, generative AI, and pharmaceutical
research.
- Develop and implement strategic AI programs to enhance QMS and
Quality processes.
- Oversee AI-driven projects, ensuring agreement on our goals and
delivery timeline.
- Foster a culture of innovation, promoting collaboration,
knowledge sharing, and continuous learning across RDQ and
enterprise teams.
- Oversee the design and execution of experiments, data analysis,
and interpretation to guide decision-making.
- Provide guidance and mentorship to R&D Quality organization
and Data Digital Quality team members, promoting their professional
growth.
- Communicate and explain strengths and weaknesses of complex
computational models and ML techniques to a broad audience from
diverse disciplines.What you bring to Takeda:
- Ph.D. degree in Data Science, Statistics, Computational
Biology, Bioinformatics, Computer Science, or a related field with
10+ years experience, or MS with 16+ years experience.
- Minimum of 8+ years of experience applying machine
learning/deep learning approaches in the life sciences.
- Experience leading AI-driven projects in a pharmaceutical or
biotechnology setting.
- Experience with generative AI and large language models (e.g.,
GPT-3, GPT-4).
- Familiarity with GxPs, regulatory requirements and quality
standards in the pharmaceutical industry.
- Experience with SDLC and processes for development of pharma
R&D platforms; experience with validation/quality compliance
requirements.
- Convey complex information to non-technical stakeholders.
- Knowledge of AI technologies in the pharmaceutical industry
(> 10 years experience).
- Experience in designing, building or supporting robust,
scalable ML or LLM models (> 5 years experience).
- Experience with or knowledge of Agile Software Development
methodologies would be ideal.
- Experience with or knowledge of GxPs would be ideal.
- Build relationships and collaborate with other working Takeda
functions and colleagues.
- Provide input to complex decisions that impact overall data
products.
- Seek input from multiple members and stakeholders to drive
innovative solutions.Important ConsiderationsAt Takeda, our
patients rely on us to deliver quality products. As a result, we
must follow strict rules in our manufacturing facilities to ensure
we are not endangering the quality of the product. In this role,
you may:
- Be required to wear personal protective equipment (PPE) and
other clean room garments daily.
- Need to remove all make-up, jewelry, contact lenses, nail
polish and/or artificial fingernails while in the manufacturing
environment.
- Work in a cold, wet environment.
- Work multiple shifts, including weekends, or be asked to work
supplemental hours, as necessary.
- Work around chemicals such as alcohol, acids, buffers and
Celite that may require respiratory protection.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
world.#GMSGQ#ZR1#LI-MA1#LI-HybridTakeda Compensation and Benefits
SummaryWe 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:Boston, MAU.S. Base
Salary Range:169,400.00 - 266,200.00The 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 job.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-termincentives. 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 StatementTakeda 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.LocationsBoston, MA; Lexington, MAWorker TypeEmployeeWorker
Sub-TypeRegularTime TypeFull timeJob ExemptYes
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Keywords: Takeda, Weymouth , R&D Quality Data AI Science Leader, Other , Boston, Massachusetts
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