Senior Level Data Science Team Lead Jobs
Senior level data science team lead jobs place experienced professionals in charge of analytical strategy, model deployment pipelines, and the cross-functional teams that deliver data-driven outcomes across the business. Openings concentrate across Education, Biotechnology & Pharmaceuticals, and Technology & Software, with a mix of on-site, remote, and hybrid settings, and employers like Capital One, Revolution Medicines, and Revolution Medicines hiring at this level now.
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Job Description
About the Role:
In this Director level role, you will help shape the scientific and operational strategy for clinical studies across a diverse evidence generation portfolio. You will play a key role in advancing Phase 3B and Phase 4 interventional and non-interventional studies, real-world evidence initiatives, collaborative research, and investigator-initiated activities. Working across functions, you will help ensure studies are scientifically robust, operationally feasible, and delivered with a strong focus on quality, compliance, and business priorities. You will be part of a team that supports evidence-based decision-making while advancing efficient, scalable, and digitally enabled approaches to clinical research. Your work will contribute to the successful design, implementation, governance, and delivery of studies that generate meaningful evidence and support organizational goals, while promoting the appropriate use of digital and artificial intelligence-enabled tools to strengthen planning, oversight, analytics, and decision-making.
How You Will Contribute:
- Provide scientific and operational leadership for the planning, implementation, oversight, execution, and reporting of clinical, real-world evidence, and externally sponsored studies.
- Lead study design and document development through the creation, review, and approval of protocols, amendments, study concepts, and related materials.
- Ensure study quality and feasibility by aligning study designs and execution plans with evidence generation priorities and stakeholder needs.
- Manage study delivery and performance by overseeing timelines, enrollment, budgets, operational metrics, risks, and quality indicators.
- Interpret and communicate clinical findings by translating complex clinical and safety data into recommendations, reports, publications, and decision-support materials.
- Partner across functional teams to support compliant study governance, vendor oversight, contracting, reporting, and archiving activities.
- Lead vendor and external partnership management while maintaining budget stewardship across the assigned portfolio.
- Drive continuous improvement and innovation through the adoption of digital and artificial intelligence-enabled tools that enhance evidence generation and study management.
Qualifications
- Advanced degree in a scientific, clinical, epidemiologic, quantitative, or health-related discipline.
- 10+ years of experience in clinical development, evidence generation, clinical research, or related disciplines involving interventional and non-interventional studies.
- Significant experience in clinical science, clinical development, study implementation, epidemiology, real-world evidence, or related biopharmaceutical functions.
- Strong experience authoring, reviewing, and approving clinical trial protocols and related study documentation.
- Experience leading global or multi-country clinical studies through implementation and publication.
- Extensive knowledge of interventional and non-interventional study designs, good clinical practice, applicable regulations, ethics, quality standards, and standard operating procedure-driven practices.
- Demonstrated ability to interpret complex clinical and safety data and communicate findings effectively to diverse audiences.
- Strong program leadership, stakeholder management, vendor oversight, decision-making, and team leadership skills, including experience using digital and artificial intelligence-enabled tools in a regulated environment.
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:
$177,000.00 - $278,080.00
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.
For information about our benefits, please click here.
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.
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Find JobsSenior Level Data Science Team Lead Job Market
Who's Hiring
- Revolution Medicines16

- Capital One10

- Amazon5

- HDR4

Top Industries Hiring
- Education24
- Biotechnology & Pharmaceuticals23
- Technology & Software17
- Banking & Financial Services9
- Consulting & Professional Services9
Senior Level Data Science Team Lead Jobs: Frequently Asked Questions
How do I get a senior level data science team lead job?
Employers hiring at the senior level look for candidates who have led end-to-end machine learning or analytics projects, mentored junior data scientists, and influenced roadmap decisions beyond their immediate team. Strong candidates demonstrate ownership of model quality, stakeholder communication at the executive level, and a history of translating ambiguous business problems into scalable data solutions. A portfolio of shipped, production-grade work carries more weight than credentials alone.
Which companies hire senior level data science team leads?
Companies hiring senior level data science team leads right now include Capital One, Revolution Medicines, and Revolution Medicines, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from technology firms, financial services companies, healthcare systems, and large consumer brands that maintain in-house data science functions and need experienced leaders to run them.
Are there remote senior level data science team lead jobs?
Yes, remote and hybrid options are well represented at the senior level. About 43% of senior level data science team lead openings are remote or hybrid as of November 2026, reflecting the fact that many organizations are comfortable giving experienced leaders flexibility once trust and results are established. Fully on-site roles do still exist, particularly in regulated industries or companies with on-premises infrastructure requirements.
What makes a data science team lead role senior level?
Senior level data science team lead roles are defined by scope, ownership, and influence. Rather than executing tasks assigned by others, senior leads set the technical direction for a team, own the quality and reliability of production models, and are accountable for outcomes that affect business strategy. They are expected to mentor junior and mid-level data scientists, contribute to hiring decisions, and represent the data function in cross-functional planning conversations.
Which industries hire the most senior level data science team leads?
Senior level data science team lead roles concentrate in Education, Biotechnology & Pharmaceuticals, and Technology & Software, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in data science at scale because they operate on large proprietary datasets, run complex predictive models in production, and need experienced leaders who can align analytical output with high-stakes business decisions.