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Life Science Manager Jobs in Georgia (NOW HIRING)

Salesforce Life Sciences Senior Manager

Atlanta, GA ยท On-site

$120K - $147K/yr

Salesforce Life Sciences Senior Manager Our Deloitte Customer team empowers organizations to build deeper relationships with customers. This includes supporting their marketing, sales, and service ...

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Life Science Manager information

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$7

$22

$45

How much do life science manager jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for life science manager in Georgia is $22.25, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $27.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a life science manager position?

To thrive as a Life Science Manager, you need a strong background in biological or life sciences, leadership experience, and a relevant degree such as a Master's or PhD. Familiarity with laboratory management software, data analysis tools, and compliance with regulatory certifications such as GLP or GMP is often required. Exceptional organizational, problem-solving, and team communication skills help distinguish top performers in this position. These abilities ensure efficient project execution, regulatory adherence, and effective collaboration in fast-paced scientific environments.

What is a life science manager?

A Life Science Manager oversees projects, research, or operations within the life sciences industry, which includes biotechnology, pharmaceuticals, healthcare, and related fields. They manage teams, ensure regulatory compliance, and drive innovation in product development or scientific research. Their role often involves coordinating between scientists, stakeholders, and business leaders to align research objectives with business goals. Strong leadership, analytical skills, and industry knowledge are essential for success in this position.

What are the primary day-to-day responsibilities of a life science manager?

As a Life Science Manager, your typical day involves overseeing research projects, coordinating teams of scientists or lab technicians, and ensuring compliance with relevant safety and regulatory standards. You will often collaborate closely with cross-functional departments such as quality assurance, regulatory affairs, and product development to meet project milestones. Managing budgets, tracking timelines, and reporting results to senior leadership are also common tasks. This role provides exposure to strategic decision-making and offers the opportunity to lead innovations within the life sciences field.

What are the most commonly searched types of Life Science jobs in Georgia? The most popular types of Life Science jobs in Georgia are:
What job categories do people searching Life Science Manager jobs in Georgia look for? The top searched job categories for Life Science Manager jobs in Georgia are:

Senior Product Manager, Life Sciences Data Products

Beacon Talent

Atlanta, GA โ€ข On-site, Remote

$152K - $158K/yr

Full-time

Re-posted 7 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.)