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Full Time Remote Data Science Jobs in Michigan (NOW HIRING)

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

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Full Time Remote Data Science information

What is the difference between Full Time Remote Data Science vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ScienceFull Time Remote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming experienceBachelor's in Data Analysis, Statistics, or related fields; basic analytical skills
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, focused on data interpretation and reporting
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Full Time Remote Data Science roles typically require advanced analytical skills, programming, and statistical knowledge, working on complex models. Full Time Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. Both roles are remote and industry-specific but differ in technical depth and responsibilities.

What are the most commonly searched types of Remote Data Science jobs in Michigan? The most popular types of Remote Data Science jobs in Michigan are:
What are popular job titles related to Full Time Remote Data Science jobs in Michigan? For Full Time Remote Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Full Time Remote Data Science jobs in Michigan look for? The top searched job categories for Full Time Remote Data Science jobs in Michigan are:
Full Time Remote Data Science jobs near you

Senior Product Manager, Life Sciences Data Products

Beacon Talent

Detroit, MI • On-site, Remote

$152K - $158K/yr

Full-time

Posted 23 days ago

Job description

Senior Product Manager, Life Sciences Data Products (Applied AI)

Location: U.S. (Remote-first) with optional hub-based hybrid
Employment: Full-time
Level: Senior IC (high ownership)
Start: ASAP / Flexible

Beacon Talent is leading a confidential search for a venture-backed company building an applied AI + data platform that supports life sciences teams (biopharma, medtech, and research organizations) with secure access to real-world clinical datasets and tooling that accelerates discovery and development while maintaining high standards for privacy, quality, and responsible use.

The Role

As Senior Product Manager, Life Sciences Data Products, you will own the strategy and execution for a portfolio of data-driven products used by life sciences customers to find, access, evaluate, and operationalize complex clinical datasets for R&D and clinical development workflows.

This is a hands-on, high-agency role—ideal for a PM who loves ambiguous problem spaces, can translate market signals into crisp product bets, and can partner deeply with engineering and data teams to ship scalable product capabilities.

What You’ll Own

  • Product vision & roadmap: Define the life sciences product strategy, identify the highest-leverage problems, and translate them into a sequenced roadmap with measurable outcomes.

  • Discovery & validation: Run customer interviews, workflow mapping, and opportunity sizing to determine what to build, what to standardize, and what to avoid as one-off services.

  • Scalable data products: Build repeatable “productized” capabilities that improve dataset usability, governance, search/retrieval, cohort building, and downstream analytics readiness.

  • AI-assisted workflows: Partner with technical teams to design automation that reduces friction in data access and analysis (e.g., metadata enrichment, quality signals, dataset packaging, evaluation tooling).

  • Execution leadership: Write requirements, define success metrics, manage tradeoffs, and drive delivery from concept through launch—iterating based on usage and customer outcomes.

  • Cross-functional alignment: Collaborate closely with go-to-market partners to ensure positioning, packaging, and feedback loops inform the roadmap without turning the product into custom projects.

  • Market awareness: Stay current on life sciences R&D and clinical development trends and incorporate them into differentiation and product choices.

What We’re Looking For

Required

  • 5+ years building data products or platforms for life sciences and/or healthcare customers.

  • Strong product discovery muscle: customer interviews, problem framing, prioritization, and roadmap ownership.

  • Technical fluency across data infrastructure, APIs, pipelines, and working concepts in ML-enabled products (no need to code).

  • Track record partnering with engineering and data teams to deliver complex, high-impact product work.

  • Excellent communication—credible with technical teams and clear with non-technical stakeholders.

  • Comfort operating in a fast-moving environment with evolving inputs and limited process.

Nice to have

  • 0→1 product experience or taking early products to scale in a regulated domain.

  • UX/product design sensibility with strong intuition for end-user workflows.

  • Prior experience in analytics, data science, or experimentation.

  • Familiarity with privacy, governance, and quality frameworks for sensitive datasets.

Why This Role

  • Direct ownership of a high-impact roadmap at the intersection of life sciences + data platforms + applied AI

  • Meaningful influence over what becomes productized vs. service-heavy

  • Close collaboration with technical leadership and high visibility across the company

Compensation

Competitive base + equity + benefits. (Exact range varies by level and location and will be shared during the process.)