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Remote Associate Applied Science Jobs in Georgia

Senior Agentic (AI) Engineer

Atlanta, GA ยท On-site +1

$100K - $138K/yr

... applied scientists, and platform teams. Responsibilities * Design and ship multi-step agentic ... Family Leave * Remote * Hybrid work (for Orlando Associates) * Free Food & Snacks (Orlando)

Dairy Technical Manager

Alpharetta, GA ยท Remote

$17 - $20.75/hr

Remote | ~50-60% Travel Candidates should ideally reside in MN, IA, or SD Adisseo is a global ... We are seeking a Dairy Technical Manager to deliver science-based technical excellence that drives ...

Data Scientist I

Atlanta, GA ยท On-site +1

... of applied mathematics, statistics, and economics * Experience with a range of data science ... Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.

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Showing results 1-20

Remote Associate Applied Science information

What is the difference between Remote Associate Applied Science vs Remote Data Analyst?

AspectRemote Associate Applied ScienceRemote Data Analyst
Required CredentialsBachelor's degree in applied science, engineering, or related fieldBachelor's degree in statistics, mathematics, or related field
Work EnvironmentCollaborative, often in research or technical teamsData-focused, analytical tasks often in business or tech sectors
Employer & Industry UsageResearch institutions, tech companies, manufacturingFinance, marketing, healthcare, tech companies
Common Search & ComparisonYesYes

The Remote Associate Applied Science role typically involves applied research and technical problem-solving in scientific or engineering contexts, requiring a background in applied science. In contrast, a Remote Data Analyst focuses on interpreting data to inform business decisions, often with a background in statistics or mathematics. Both roles are remote, collaborative, and industry-relevant, but they serve different functions within organizations.

What are popular job titles related to Remote Associate Applied Science jobs in Georgia? For Remote Associate Applied Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Associate Applied Science jobs in Georgia look for? The top searched job categories for Remote Associate Applied Science jobs in Georgia are:
What cities in Georgia are hiring for Remote Associate Applied Science jobs? Cities in Georgia with the most Remote Associate Applied Science job openings:
Infographic showing various Remote Associate Applied Science job openings in Georgia as of June 2026, with employment types broken down into 2% Internship, 77% Full Time, 12% Part Time, 2% Temporary, and 7% Contract. Highlights an 100% Remote job distribution.

Senior Product Manager, Life Sciences Data Products

Beacon Talent

Atlanta, GA โ€ข On-site, Remote

$152K - $158K/yr

Full-time

Posted 9 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 roleโ€”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 Youโ€™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 โ€œproductizedโ€ 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 launchโ€”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 Weโ€™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 communicationโ€”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

  • 0โ†’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.)