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Job Description

Job Title: R&D Quality Data/AI Science Leader

Location: Cambridge, MA

About 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, and ensuring compliance to company and regulatory requirements. You will lead or provide Machine Learning expertise for complex and large-scale data projects to lead insights and data-driven decision-making. You will lead or provide Quality expertise to latest data programs for internal and external partners. 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. Foster collaboration with our teams and external partners.

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 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 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.

Bring experience working cross-functionally and in matrixed, global teams.

Develop and implement solutions to complex issues which potentially improve the R&D Quality Management System, and ensure full compliance with applicable GxP regulations and Takeda quality expectations.

Navigate in a global ecosystem (internal and external) with a high degree of complexity

Recognize and understand broader, enterprise level perspective.

Important Considerations

At 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:

May be required to wear personal protective equipment (PPE) and other clean room garments daily. This may include safety shoes, safety glasses, aprons, face shields, lab coats, full body gowns, hair nets and gloves and hearing protection.

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-Hybrid

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:

Boston, MA

U.S. Base Salary Range:

169,400.00 - 266,200.00

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 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-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.

LocationsBoston, MALexington, MA

Worker TypeEmployee

Worker Sub-TypeRegular

Time TypeFull time

Job Exempt

Yes