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Genomics Product Manager Jobs (NOW HIRING)

Illumina, Inc.

Sr. Staff Product Manager

San Diego, CA · On-site

$134K - $177K/yr

At Illumina, we are expanding access to genomic technology to realize health equity for billions of ... We are actively seeking an experienced Senior Staff Product Manager to join our High-Throughput ...

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Genomics Product Manager information

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$51.5K

$159.4K

$197K

How much do genomics product manager jobs pay per year?

As of Jun 10, 2026, the average yearly pay for genomics product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What is the difference between Genomics Product Manager vs Bioinformatics Scientist?

AspectGenomics Product ManagerBioinformatics Scientist
Required CredentialsBachelor's or Master's in biology, genomics, or related field; experience in product managementDegree in bioinformatics, computational biology, or related field; strong programming skills
Work EnvironmentCollaborates with R&D, marketing, and sales teams in biotech or pharma companiesWorks in research labs or academic settings analyzing genomic data
Industry UsageCommonly employed in biotech, pharmaceutical, and genomics companiesPrimarily found in research institutions, biotech, and academia

The main difference is that Genomics Product Managers focus on developing and managing genomics products, working cross-functionally with teams, while Bioinformatics Scientists analyze genomic data to generate insights. Both roles require a strong background in genomics, but their daily tasks and objectives differ significantly.

How does a Genomics Product Manager typically collaborate with scientific and technical teams during product development?

A Genomics Product Manager works closely with cross-functional teams, including bioinformaticians, laboratory scientists, software engineers, and regulatory specialists. They act as a bridge between customer needs and technical implementation, ensuring that product features align with market demands and scientific standards. Regular meetings and clear communication are essential to translate complex genomic concepts into actionable product requirements and to keep development on track. This collaborative approach helps to deliver innovative and robust genomics solutions.

What does a Genomics Product Manager do?

A Genomics Product Manager oversees the development and lifecycle of products related to genomics, such as genetic testing kits or bioinformatics software. They work closely with researchers, engineers, and marketing teams to identify customer needs, define product features, and guide projects from conception to launch. Their role also involves market analysis, compliance with regulatory standards, and ensuring products meet scientific and business goals. Effective communication and a strong understanding of genomics technologies are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Genomics Product Manager, and why are they important?

To thrive as a Genomics Product Manager, you need a strong background in genomics or life sciences, combined with experience in product management and a relevant degree such as in biology, genetics, or bioinformatics. Familiarity with genomic data analysis tools, project management software, and regulatory compliance systems is typically expected, along with certifications like PMP being advantageous. Outstanding communication, stakeholder management, and strategic thinking skills help differentiate top performers in this role. These abilities ensure effective product development, alignment with market needs, and successful cross-functional collaboration in the rapidly evolving genomics industry.
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Genomics Product Manager jobs near you
Infographic showing various Genomics Product Manager job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Product Manager, Data Infrastructure and Management

Product Manager, Data Infrastructure and Management

SEMA4

Stamford, CT • On-site

Full-time

Posted 6 days ago

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
The Product Manager, Data Infrastructure and Management delivers and supports data infrastructure products that convert molecular diagnostic laboratory assay data to insights about the molecular makeup of patient cells. These products are the core of sophisticated clinical diagnostics serving thousands of patients per week and enable high-volume research projects in human disease. As part of the Data Infrastructure and Management team in the Production Bioinformatics department, the Product Manager will work closely with the scientific director and the lead engineer of each software and database product to define and execute the translation of scientific and engineering innovation into high-throughput analysis methods for a data sciences company. The product manager is responsible for clear definition and timely delivery of the data products and their successful integration and deployment as part of Sema4's data sciences platform built by collaborative inter-disciplinary teams (science, engineering, clinical, and business/product).
RESPONSIBILITIES
  • Own and manage the roadmap, feature backlog, work plan, and release schedule for a portfolio of data infrastructure products by closely working with scientific, clinical, business, product, scientific compute/IT, and project management teams to make the large volume of data generated at Sema4 accessible programmatically and via user interfaces to serve business needs
  • Translate business requirements for these data products into detailed technical requirements, designs, specifications, and work definitions for scientific and engineering teams
  • Carry out detailed design and write technical specifications for features, workflows, data flows, application programming interfaces (APIs), file formats, data schemas, and data payloads used within these databases and applications as well as for communication of these specifications to other users and product owners in the Sema4 analytics ecosystem
  • Estimate product delivery time, effort, risks, and dependencies in collaboration with project management on other teams, as well as communicate status updates between all levels
  • Communicate about complex technical/scientific problems between teams and stakeholders at all levels and work with them to solve, as well as generally facilitate inter-team communication by mocking up illustrative examples that help people from diverse backgrounds find a common understanding
  • Support the data products for a multitude of users and data consumers at Sema4 by becoming a subject matter expert and serving as the products' primary representative and contact person, including providing training
  • Co-lead the execution and continuous improvement of the software development life cycle (SDLC) of the data pipeline product portfolio
  • Write and maintain clear business and technical documentation for target audiences from various backgrounds (scientific, software/IT, clinical, business, project management)

QUALIFICATIONS
  • Bachelor's degree in a relevant computational or biomedical field.
  • Minimum 3 years of relevant experience, e.g. software product development, software engineering or programming, data science or analysis, bioinformatics/genomics research, systems engineering
  • Excellent written and verbal communication, including via visualizations, on inter-disciplinary teams about complex technical topics
  • Some programming experience, especially in Python, R, and SQL
  • Knowledge of git and software management/lifecycle
  • Knowledge of AWS products such as S3, RDS, DynamoDB, Redshift, Lambda, and Elastic Beanstalk are a plus but not required
  • Knowledge of MongoDB or other NoSQL database a plus

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