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Remote Optum Data Science Jobs in Austin, TX (NOW HIRING)

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... Exposure to data science workflows, machine learning, or AI deployments is a plus * Strong ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Partner with data science, engineering, Revenue Operations, and executive stakeholders to define ... Remote worker reimbursement of $300/year * Professional development reimbursement Not sure if you ...

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

We\'re looking for a Senior Data Scientist, Applied ML to design, build, and deploy models for ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

... for a Senior Data Scientist, Applied ML to design, build, and deploy models for critical ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

New

Clinical Data Manager

Austin, TX · Remote

$125K - $175K/yr

With a strong scientific foundation and a founding team that includes the discoverer of our target ... Remote (U.S.) Responsibilities: * Lead day-to-day data management activities for assigned clinical ...

Clinical Data Manager

Austin, TX · Remote

$125K - $175K/yr

With a strong scientific foundation and a founding team that includes the discoverer of our target ... Remote (U.S.) Responsibilities: * Lead day-to-day data management activities for assigned clinical ...

Senior Technical Product Manager

Austin, TX · Remote

$129K - $170K/yr

Whether you prefer the structure of an office, the convenience of remote work, or a mix of both, we ... Partner closely with data scientists, data engineers, and ML engineers to deliver models and data ...

Bachelor's degree in Information Systems, Computer Science, Statistics, or related field * 2+ years of experience in data analysis, preferably in an IVR or contact center environment * Experience ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Strong understanding of computer science fundamentals (data structures, algorithms, data processing)

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... Our rigorous approach to product design, testing, and data science leads to accurate assessments of ...

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... Our rigorous approach to product design, testing, and data science leads to accurate assessments of ...

Showing results 21-40

Remote Optum Data Science information

See Austin, TX salary details

$41.1K

$141.2K

$199.2K

How much do remote optum data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote optum data science in Austin, TX is $141,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $165,000.00 per year, depending on experience, location, and employer.

Can I work remotely as a remote optum data science?

Remote data science roles at Optum typically offer the flexibility to work from home, depending on the company's policies and the specific position. Candidates should have strong analytical skills, proficiency in tools like Python or R, and good communication abilities to succeed in a remote environment. Availability of remote work may vary by team and project requirements.

What is the difference between Remote Optum Data Science vs Remote Optum Data Analyst?

AspectRemote Optum Data ScienceRemote Optum Data Analyst
Required CredentialsTypically requires a master's or PhD in Data Science, Statistics, or related fieldsBachelor's degree in Data Analysis, Statistics, or related fields often sufficient
Work EnvironmentFocus on advanced modeling, machine learning, and predictive analyticsData cleaning, reporting, and basic analysis tasks
Employer & Industry UsageUsed in healthcare analytics, predictive modeling, and research within OptumUsed for reporting, data management, and supporting decision-making processes

Remote Optum Data Science roles involve developing complex models and algorithms, requiring advanced degrees and technical expertise. In contrast, Remote Optum Data Analyst positions focus on data reporting and basic analysis, often requiring a bachelor's degree. Both roles support healthcare analytics but differ in scope and technical depth.

What are the most commonly searched types of Optum Data Science jobs in Austin, TX? The most popular types of Optum Data Science jobs in Austin, TX are:
What are popular job titles related to Remote Optum Data Science jobs in Austin, TX? For Remote Optum Data Science jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Optum Data Science jobs in Austin, TX look for? The top searched job categories for Remote Optum Data Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Optum Data Science jobs? Cities near Austin, TX with the most Remote Optum Data Science job openings:

Senior Product Manager, Life Sciences Data Products

Beacon Talent

Austin, TX • On-site, Remote

$152K - $158K/yr

Full-time

Re-posted 4 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.)