Vice President of Data Science Jobs
Vice President of Data Science jobs are open across technology, financial services, healthcare, and retail, from director-level to C-suite adjacency, with specializations in machine learning platform strategy, applied AI, and enterprise analytics leadership. Find a role that fits below and apply directly.
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At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on – now and in the future.
- Must be legally authorized to work in the United States without sponsorship.
- Must be able to pass a comprehensive background check, which includes a drug screening.
The position requires proven abilities to drive both strategic and measurable business outcomes. The incumbent’s cardiovascular diseases track record expertise is required to be extensive and ensure recognition as peer of their Pharmaceutical Industry equivalents. This position is playing a key part in the future success of the PPD clinical research business of Thermo Fisher Scientific, as it seeks to continue its track record of successful growth and expand Industry leading position in the cardiovascular diseases field. Medical Science & Strategy physicians are subject matter experts who support sales for proposals and bid defenses, engaging clients senior medical / scientific leadership in discussions and training internal staff on medical and therapeutic requirements of the proposals.
The role comprises four major functions:
First, the incumbent is responsible for ensuring the highest possible quality of input into significant requests for proposals (RFPs), including:
- Development strategy and regulatory issues
- Drug class issues
- Protocol and indication considerations, including safety
- Team education on indication
- Interactions with client’s physicians and / or client area indication leaders prior to and during bid defenses
- Identifying business opportunities for the PPD clinical research business
Secondly, the incumbent is responsible for supporting outstanding input into other areas of the PPD clinical research business activities, including:
- Pro-active client engagement: peer-to-peer interactions with therapeutic area leaders and senior directors of companies whose portfolio contains drugs of business interest
- Strategic alliance development & support
- Client governance and advisory boards
- Through PPD’s consulting practice, the incumbent will provide Industry gold standard product development plans, and top-level design of clinical trial protocols that are required in the development plan.
Thirdly, the incumbent will be responsible for providing therapeutic and developmental expertise to internal teams, including:
- Indication specific training for clinical teams
- Guidance during clinical trials executions
- Investigator Brochure, clinical study report, NDA / MAA clinical packages development, and other regulatory briefing documents authoring and review
- Contribute to design and reporting of feasibility studies
- Liaise with investigators and KOLs
- Mentor and supervise clinical scientists
Finally, the incumbent will participate in multidisciplinary teams and working groups to contribute to innovative initiatives based on their specific knowledge, expertise and interest.
Minimum Qualifications:
- MD required; board certification preferred.
- At least 7 years of experience in the pharmaceutical industry leading cardiovascular clinical development programs, including advancement of at least one asset from discovery through registration.
- Active medical license preferred but not required.
In some cases an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.
Knowledge, Skills and Abilities:
- Able to work in a matrix organization.
- Able to demonstrate the following key high-level high-performance behaviors: decisive, customer driven, flexible thinking, smart-risk taking and continuous improvement.
- Leads, influences and motivates staff within and across departments.
- Strong in presenting and communicating complex information clearly.
- Able to deal with sensitive and confidential issues.
- Possesses a “can do” attitude and is capable of implementing and following through on activities / projects.
- Proficient in spoken and written English.
- Flexibility to travel domestically and internationally
What we offer:
- Full time position
- Competitive salary and benefits
- Work diversity, exposure to several assets in different stages of clinical development from several clients
- Mentorship and training
- Exciting work environment
About PPD clinical research business of Thermo Fisher Scientific Our mission is to enable our customers to make the world healthier, cleaner and safer. As one team of 100,000+ colleagues, we share a common set of values – Integrity, Intensity, Innovation and Involvement – working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory with Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued. Apply today!
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What Employers Look For
The qualifications that appear most often in vice president of data science jobs.
- 10 or more years of data science or machine learning experience with at least 3 years in a people management role
- Demonstrated ability to build, scale, and lead data science teams of 10 or more individuals
- Advanced degree in statistics, computer science, mathematics, or a closely related quantitative field
- Proficiency in Python and SQL with hands-on experience deploying machine learning models to production
- Experience partnering with C-suite stakeholders to translate business strategy into data science roadmaps
- Familiarity with cloud data platforms such as AWS, Google Cloud, or Azure and modern MLOps tooling
Tips for Your Vice President of Data Science Job Search
Quantify the business outcomes you drove
VP-level hiring committees care less about model accuracy and more about revenue impact, cost reduction, or risk mitigation your data science org delivered. Lead each resume bullet with a dollar or percentage outcome tied to a decision you owned, not a technique you used.
Show your org-building and cross-functional record
Hiring panels for this role almost always probe how you built, structured, or scaled a team. Your resume should name the team size you managed and the cross-functional partners you aligned with, whether that was product, engineering, finance, or clinical leadership.
Apply early to roles that fit
Migrate Mate lists vice president of data science openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that match your domain depth
A VP of Data Science at a healthcare insurer and one at a fintech lender solve fundamentally different problems. Filter your search by industry and read the business context in each posting carefully before applying so your cover materials speak directly to that domain.
Prepare a data strategy narrative for interviews
Most final-round interviews for this role include a presentation to a C-suite or board audience. Have a crisp 15-minute narrative ready that covers how you assess data maturity, prioritize use cases, and measure the value your team creates for the business.
Negotiate scope before negotiating compensation
Before discussing pay, clarify reporting structure, data engineering ownership, budget authority, and whether a data platform team is in scope. Scope determines long-term leverage and career trajectory at this level, and misaligned expectations are the most common reason VP hires fail in year one.
Vice President of Data Science Jobs: Frequently Asked Questions
Which companies are hiring the most vice president of data sciences?
The companies hiring the most vice president of data sciences right now include Thermo Fisher Scientific, Citi, and Openly, with the largest share of openings in Ohio, Illinois, and New York, based on current listings on Migrate Mate as of November 2026. Financial services, healthcare technology, and large consumer technology companies tend to post these roles most frequently year-round.
How many vice president of data science jobs are remote?
About 100% of vice president of data science openings are fully remote or hybrid as of November 2026, reflecting the seniority and strategic nature of the role. Sub-specializations focused on platform strategy, MLOps leadership, and enterprise analytics tend to offer more location flexibility than roles requiring close coordination with on-site product or clinical teams.
How do you become a vice president of data science?
Most vice presidents of data science move into the role after progressing from individual contributor data scientist to senior data scientist, then to a manager or director position where they own a team and a product-facing roadmap. Building a record of cross-functional influence, hiring strong teams, and tying data science outputs to business outcomes is what separates candidates who reach this level from those who plateau at director.
Can you get hired as a vice president of data science without prior VP experience?
Yes, candidates who have been strong directors with broad scope often move directly into VP roles, particularly at companies scaling their data function for the first time. The most effective path is to take on work at your current level that mirrors VP responsibilities, such as owning a multi-team roadmap, presenting to executives, and leading hiring decisions, so your experience matches the role's actual demands even if your title does not yet.
What does the vice president of data science interview process look like?
The process typically starts with a recruiter screen, followed by a technical conversation with a chief data officer or peer VP, then a series of behavioral interviews with cross-functional leaders in product, engineering, and finance. Most processes end with an executive presentation where you walk a panel through how you would assess the company's data science maturity and build a roadmap for the first year. The full process usually runs across multiple weeks and rounds.
Where can I find and apply to vice president of data science jobs?
You can find and apply to vice president of data science jobs on Migrate Mate, which lists current openings from companies across the United States. Find roles that match your background and apply directly to each listing from the page.
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