Director, Real-World Evidence Data Sciences Lead
Company: Takeda
Location: Boston
Posted on: January 8, 2026
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Job Description:
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with Takeda’s Privacy Notice and Terms of Use . I further attest
that all information I submit in my employment application is true
to the best of my knowledge. Job Description OBJECTIVES/PURPOSE:
The Real World Data Center of Excellence is meant to foster an
environment that simplifies and accelerates collaboration-driven
insights that enable data driven business decisions by bringing
best practices and standardizing approaches to common questions
involving real world data.The Director, Real-World Evidence Data
Sciences Lead is responsible for managing the acquisition,
processing, and curation of non-Takeda sourced observational RWD,
including claims, disease registry, labs and electronic
health/medical records (EHR/EMR) data. The role will manage a wide
portfolio of data types, with a goal of supporting diverse analyses
across Research & Development (R&D); will ensure data transfers
follow quality standards; and will coordinate with other
stakeholders in R&D to ensure acquisitions satisfy expected
analysis plans. In addition, responsibilities include feasibility
and exploratory analyses of the RWD, working with observational
data sciences colleagues, and collaborating with stakeholders
across Takeda, including epidemiologists, translational biologists,
biomarker scientists, and biostatisticians. These analyses will
provide a better understanding of disease natural history,
incidence/prevalence, co-morbidities, treatment patterns, and
health and safety outcomes in ‘real world’ patient populations,
across a wide variety of serious and unmet diseases, resulting in a
high impact to research and early development, clinical development
pipeline, and marketed products. ACCOUNTABILITIES: Develop and
implement enterprise RWE strategies to efficiently address business
needs. Collaborate internally and externally to address RWE needs
and advise on unmet data needs Strengthen partnerships with
stakeholders within the organization and externally with platform
vendors, RWE innovators, FDA etc. Act as a knowledge developer and
repository around observational studies, FDA policies, publications
etc related to RWE. Be at the forefront of advanced technologies
like Gen-AI/agentic AI and their applications of Real-World Data.
CORE ELEMENTS RELATED TO THIS ROLE: Collaborate with external
vendors, Takeda partners, and external organizations responsible
for collecting the data Ensure data transfers follow quality
standards and coordinate with other stakeholders in R&D to
ensure acquisitions satisfy expected analysis plans Define and
implement data transfer, quality control and curation processes,
and maintain the data quality pipeline Collaborate with other team
members to ensure consistency of quality control methods and
processes across disparate types of data sourced external to Takeda
Conduct analyses pertaining to the application of the observational
RWE data for diverse stakeholders, including Epidemiology, Value &
Access, Translational Biology, Biomarkers; these include specific
epidemiology, health outcomes and other observational studies to
better understand disease natural history, incidence/prevalence,
co-morbidities, treatment patterns, and health and safety outcomes
in ‘real world’ patient populations Advise on the associated
analyses plans using information developed in the execution of the
data quality pipelines Ensure information is surfaced to ensure the
externally sourced data is fit for purpose Develop systems,
processes and tools (pipelines) which impact enterprise use of our
data assets and confirm data quality Lead global organizational RWD
transparency and education by delivering learning modules on
relevant dimensions for users’ qualifications DIMENSIONS AND
ASPECTS: Technical/Functional (Line) Expertise Comprehensive
understanding of the pharmaceutical industry and drug development
Understand andenable analytic infrastructure, including CFR 11
certified software tools, semi-automated, validated SAS algorithms
and a skilled data visualization team offer efficient delivery of
research and rapid analytics Leadership Demonstrated ability to
work across functions, regions and cultures Excellent communicator,
able to persuasively convey both ideas and data, verbally and in
writing Proven skills as an effective team player who can engender
credibility and confidence within and outside the company Ability
to distil complex issues and ideas down to simple comprehensible
terms Embraces and demonstrates a diversity and inclusion mindset
and role models these behaviors for the organization Interaction
Effectively navigates the changing external and internal
environment and leads others through change by creating and
inspiring and engaging workplace Cultivates a broad network of
relationships throughout Takeda, with affiliates and external
partners, in the industry and area of expertise. Effectively
represents function in negotiations with the ability to resolve
conflict in a constructive manner Ability to build strong
relationships and collaborate effectively with other interfacing
Takeda functions Innovation Forward thinking with the ability to
recommend, influence and implement organizational change and
continuous innovation Comfortable challenging the status quo and
bringing forward innovative solutions Ability to take risks
implementing innovative solutions, accelerating time to market
Identifies opportunities and anticipates changes in the business
landscape through an understanding and ongoing assessment of the
environment affecting the business. Role models respect and
inclusion, creating a culture that fosters innovation Complexity
Ability to work in a global ecosystem (internal and external) with
a high degree of complexity Deep expertise required Ability to see
and understand broader, enterprise level perspective EDUCATION,
BEHAVIOURAL COMPETENCIES AND SKILLS: Advanced degree in Computer
Science, Data Science, Life Sciences, Epidemiology, Bioinformatics,
Clinical Informatics or similar technical fields 5-8 years relevant
work experience with a focus on clinical, observational or RWE data
management ingestion, curation, and analysis Experience
establishing and managing relationships with external vendors and
organizations for the acquisition of observational RWD Deep
understanding of drug development and biopharmaceutical industry,
with emphasis on role of observational RWE data Experience using
hardware and software used to curate, process and analyze data
Experience with scripting/coding languages (R, Python, Unix
scripting, etc.) Knowledge of data analysis and trending and
familiarity with statistics Experience developing and implementing
process and data standards Strong project management skills, and
ability to effectively lead, collaborate and communicate across
diverse group of observational RWE data stakeholders (scientific,
technical, operational) High attention to detail including proven
ability to manage multiple, competing priorities Demonstrated
ability to establish and manage effective business relationships
with internal and external stakeholders This position is currently
classified as "hybrid" in accordance with Takeda's Hybrid and
Remote Work policy. 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:
$174,500.00 - $274,230.00 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.
Locations Boston, MA Worker Type Employee Worker Sub-Type Regular
Time Type Full time Job Exempt Yes It is unlawful in Massachusetts
to require or administer a lie detector test as a condition of
employment or continued employment. An employer who violates this
law shall be subject to criminal penalties and civil liability.
Keywords: Takeda, Fall River , Director, Real-World Evidence Data Sciences Lead, Science, Research & Development , Boston, Massachusetts