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Remote Behavioral Science Research Jobs in Decatur, GA

LabAnswer

LIMS SME/Business Analyst

Atlanta, GA · Remote

... and life sciences research laboratories spanning research, development and manufacturing/QC ... This is a remote position so the candidate can live anywhere in the USA. The position will require ...

Cayuse

Product Manager - Compliance

Atlanta, GA · On-site +1

The exciting world of scientific research is fueled by people with a passion for solving complex ... Remote Work Stipend * Equal Paid Parental Leave * 401k with Employer Matching * Quarterly Wellness ...

Emory University

Fully Remote Abdominal Radiologist

Atlanta, GA · On-site +1

$311.40K - $389.20K/yr

... or research missions. Emory University School of Medicine's Department of Radiology and Imaging Sciences, Division of Abdominal Imaging seeks a fellowship-trained abdominal radiologist. This is a ...

Relativity

Senior Applied Scientist

Atlanta, GA · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

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What is a Remote Behavioral Science Research job?

A Remote Behavioral Science Research job involves studying human behavior, decision-making, and psychological patterns using scientific methods while working from a remote location. Researchers in this field may design and conduct experiments, analyze data, and interpret findings to provide insights for businesses, healthcare, or policy-making. They often collaborate with interdisciplinary teams and use statistical tools or behavioral theories to understand and predict behavior. This role typically requires skills in research design, data analysis, and strong communication abilities to present findings effectively.

What are the key skills and qualifications needed to thrive in the Remote Behavioral Science Research position, and why are they important?

To thrive in Remote Behavioral Science Research, you generally need a background in psychology or a related field, experience with scientific research methods, and strong analytical skills. Familiarity with statistical software (such as SPSS, R, or Python), online survey platforms, and data visualization tools is commonly required. Effective communication, self-motivation, and strong time management are essential soft skills, especially in a remote setting. These qualifications enable researchers to work independently, deliver insightful findings, and collaborate efficiently with distributed teams.

What are the main responsibilities of a Remote Behavioral Science Researcher on a day-to-day basis?

Remote Behavioral Science Researchers typically design, conduct, and analyze behavioral experiments, review scientific literature, and summarize findings for teams or clients. Much of the daily work involves collecting and managing data, preparing reports, and collaborating with colleagues through virtual meetings and shared digital platforms. Researchers may also be responsible for developing surveys, conducting interviews, or contributing to the design of interventions. This role offers the flexibility of remote work but requires discipline in meeting deadlines and maintaining clear communication across the team.
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Senior Product Manager, Life Sciences Data Products

Beacon Talent

Atlanta, GA • On-site, Remote

$152.83K - $158.71K/yr

Full-time

Posted 26 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.)