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Data Science Manager Healthcare Jobs (NOW HIRING)

Lemonade

Data Science Manager

New York, NY · On-site

$210K - $230K/yr

We don't care much about titles and hierarchy and instead focus on innovation, bold moves, and ... for an AI Data Science Manager to help lead the future of machine learning-driven pricing at ...

Lyft

Data Science Manager, Mapping

San Francisco, CA

To strengthen our efforts, we are hiring a Data Science Manager who will lead data scientists and ... Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with ...

Canva

Data Science Manager - GTM Sales

Austin, TX · On-site

Opportunity and account health scoring. Sales forecasting. And the build-out of a product-led sales ... We're hiring a Manager, Data Science to lead and coach a team of four exceptional data scientists ...

Netflix

OR

What you'll do We're looking for an accomplished data science and analytics leader to lead a ... Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) ...

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All JobsData Science Manager Healthcare Jobs

Data Science Manager Healthcare information

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$31K

$97.1K

$172K

How much do data science manager healthcare jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data science manager healthcare in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Science Manager Healthcare vs Data Analyst Healthcare?

AspectData Science Manager HealthcareData Analyst Healthcare
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related; experience in healthcare analyticsBachelor's in Data Analysis, Statistics, or related; healthcare experience preferred
Work EnvironmentLeads teams, manages projects, collaborates with healthcare stakeholdersPerforms data collection, cleaning, and analysis under supervision
Employer & Industry UsageHospitals, healthcare tech companies, insurance firmsHospitals, clinics, healthcare research organizations

The main difference is that Data Science Managers Healthcare oversee analytics teams and strategic projects, while Data Analysts Healthcare focus on data processing and reporting. Managers handle complex models and team leadership, whereas Analysts perform routine data tasks. Both roles require healthcare industry knowledge but differ in scope and responsibilities.

What does a Data Science Manager in Healthcare do?

A Data Science Manager in Healthcare leads teams of data scientists and analysts to develop and implement data-driven solutions that improve patient outcomes, streamline operations, and support decision-making in healthcare organizations. They oversee projects involving the analysis of large healthcare datasets, the development of predictive models, and the deployment of machine learning algorithms. Additionally, they collaborate with clinicians, IT teams, and executives to ensure that data initiatives align with organizational goals and comply with healthcare regulations.

How does a Data Science Manager in healthcare typically collaborate with clinical and IT teams?

A Data Science Manager in healthcare works closely with both clinical professionals and IT teams to ensure that data-driven solutions align with clinical needs and are technically feasible. They often translate complex clinical problems into actionable analytics projects, facilitate communication between data scientists and healthcare practitioners, and oversee the integration of data models into clinical workflows. This collaborative approach helps ensure that predictive models and analytical tools are not only accurate, but also practical and compliant with healthcare regulations. Effective cross-functional communication is essential for successful project implementation and patient care improvements.

What are the key skills and qualifications needed to thrive as a Data Science Manager in Healthcare, and why are they important?

To thrive as a Data Science Manager in Healthcare, you need expertise in data analytics, machine learning, healthcare domain knowledge, and a relevant degree in data science, statistics, or a related field. Familiarity with tools such as Python, R, SQL, cloud platforms, and experience with healthcare data standards like HL7 or FHIR is typically required, along with certifications like Certified Health Data Analyst (CHDA). Strong leadership, communication, and problem-solving skills are essential for managing multidisciplinary teams and driving data-driven decision-making. These skills ensure effective analysis of complex healthcare data, improved patient outcomes, and successful collaboration across technical and clinical stakeholders.
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Data Science Manager Healthcare jobs near you
Data Science Manager

Data Science Manager

Lemonade

New York, NY • On-site

$210K - $230K/yr

Full-time

Posted 15 days ago

Job description

Not your everyday company
Lemonade completely reinvented how insurance works. As a customer-centric tech company, we created an insurance experience that is smart, instant, and delightful.
At Lemonade, you'll be working with a group of like-minded makers, who get a kick out of moving fast and delivering great products. We surround ourselves with some of the smartest, most motivated, creative people who are filled with positive energy and good karma.
Unlike most publicly traded companies, we're nimble and efficient. We take pride in the fact that we still think and operate like a startup. We don't care much about titles and hierarchy and instead focus on innovation, bold moves, and challenging the status quo.
We're built as a lean, data-driven organization that relies on a common understating of objectives and goals to provide teams with autonomy and ownership. We don't like spending our days in meetings and we skip committees altogether. At Lemonade, there's no such thing as going over someone's head. We have zero tolerance for bureaucracy, office politics, and lean-back personalities.
As a Public Benefit Corporation and a certified B-Corp, we deliver environmental and social impact using our products and tech. Through our Giveback program, we partner with organizations such as the ACLU, New Story, The Humane Society, Malala Fund, American Red Cross, 360.org, charity: water, and dozens of others, and have donated millions towards reforestation, education, animal rights, LGBTQ+ causes, access to water, and more.
Awarded 'best workplace'
Best Workplace and Best-Led Company by Inc. Magazine
"World Changing" by Fast Company
Recognized as a World Changing Idea by Fast Company Magazine
Ranked #1 Home insurance in America
Won best renters and homeowners insurance in America by US News, and others
Best Pet Insurance in America
Rated "Best Overall Pet Insurance" by Better Homes & Gardens
Rated 4.9 on the App Store
Among the highest rated apps of all time
What you're applying for
We're looking for an AI Data Science Manager to help lead the future of machine learning-driven pricing at Lemonade. You'll sit within our Data Science team, owning the direction of a group of talented data scientists while pushing the technical boundaries of how we build, ship, and scale ML solutions that directly shape our products.
We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
  • Lead a team of data scientists, setting technical direction and helping each person grow in their craft
  • Own projects end-to-end, from framing the business question all the way through to production
  • Build and ship machine learning and deep learning models that directly influence pricing decisions
  • Partner with actuaries and insurance managers and translate complex findings into clear, compelling narratives for internal stakeholders
  • Champion AI adoption across the business, inspiring teams to think differently about how data science can solve real problems
  • Contribute to the continued evolution of our ML infrastructure, tools, and best practices

What you'll need
  • 1-3 years of experience leading an R&D or Data Science team
  • 3+ years working as a data scientist, ideally at a startup or fintech company
  • A Master's degree or higher in Statistics, Computer Science, Mathematics, or a related field
  • Fluency in Python and/or R
  • Solid understanding of both relational and NoSQL databases
  • A track record of delivering high-scale, production-grade projects
  • Experience building insurance pricing models is a strong plus
  • Ready to work in an office environment most days of the week

Please note that we are unable to sponsor applicants for work visas.
Unfortunately, we cannot consider applicants from these states: Alaska, California, Colorado, Montana, Hawaii, New Mexico and Puerto Rico.
Lemonade's US base salary range for this full-time position is $210,000 - $230,000 plus equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Speak to your recruiter to hear more about the specific salary range for your preferred location.
Things to know...
Lemonade is an equal opportunity employer committed to diversity and inclusivity. We never discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you require reasonable accommodations due to religious beliefs, pregnancy, or disabilities, let us know at any time.

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