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Bioinformatic Product Manager Jobs (NOW HIRING)

Sr. Product Manager

$129K - $170K/yr

QUALIFICATIONS Required • Bachelor's degree in life sciences, genetics, bioinformatics, healthcare, business, or a related field. • 10 years of experience in product management in diagnostics ...

Senior Product Manager, Sightline

San Bruno, CA · On-site

$151K - $199K/yr

## Senior Product Manager, SightlineApplyremote type: Hybridlocations: San Bruno, Californiatime type ... S., or Ph.D.) or practical professional experience in Computational Biology, Bioinformatics ...

AI Product Manager

Watertown, MA · On-site +1

$154K - $263K/yr

The Role AI Product Manager This role will drive development of Dyno's AI products for biological ... PhD in Computational Biology, Bioinformatics, Data Science or a related field * Strong foundation ...

AI Product Manager

Watertown, MA · On-site

$154K - $263K/yr

The Role AI Product Manager This role will drive development of Dyno's AI products for biological ... PhD in Computational Biology, Bioinformatics, Data Science or a related field * Strong foundation ...

$61K - $141K/yr

Partner closely with product managers, enterprise architects, and engineering teams to ensure bioinformatics platforms are mission-aligned, scalable, and user-centered. Apply a bioinformatics lens to ...

Showing results 21-40

Bioinformatic Product Manager information

See salary details

$51.5K

$159.4K

$197K

How much do bioinformatic product manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for bioinformatic 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 does a bioinformatic product manager do?

A Bioinformatic Product Manager serves as the bridge between scientific, technical, and business teams to develop and manage software products related to bioinformatics. They are responsible for overseeing the product lifecycle, understanding customer requirements, and translating them into technical specifications. Their role includes market analysis, prioritizing features, working with developers and scientists, and ensuring that the products meet the needs of researchers and clinicians in genomics, drug discovery, and related fields.

How does a bioinformatic product manager typically collaborate with cross-functional teams during product development?

A Bioinformatic Product Manager works closely with scientists, software engineers, data analysts, and commercial teams to guide the development of bioinformatics tools and platforms. They facilitate communication between technical and non-technical stakeholders, translate scientific requirements into product features, and ensure that user needs are met throughout the project lifecycle. Collaboration often involves regular meetings to align on project goals, resolve challenges, and adjust priorities based on feedback or new discoveries. This role requires balancing scientific accuracy with product usability and market demands.

What are the key skills and qualifications needed to thrive as a bioinformatic product manager, and why are they important?

To thrive as a Bioinformatic Product Manager, you need a strong background in bioinformatics or computational biology, experience in software or product development, and often an advanced degree in a life science or related field. Familiarity with bioinformatics tools, data analysis platforms, and agile project management systems is highly valuable, as are certifications in product management or relevant technologies. Exceptional communication, stakeholder management, and problem-solving skills help you bridge the gap between scientific and technical teams. These skills are essential for effectively translating complex scientific requirements into successful products that meet market and user needs.

What are popular job titles related to Bioinformatic Product Manager jobs?

For Bioinformatic Product Manager jobs, the most frequently searched job titles are:

Infographic showing various Bioinformatic Product Manager job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Baylor Genetics
Biotechnology Research and Development • 51 - 200 employees

$129K - $170K/yr

Full-time

Re-posted 4 days ago


Baylor Genetics rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

The Product Management team is accountable for defining customer-centric portfolio direction, establishing data-driven prioritization and investment recommendations, monitoring product performance, and driving alignment with Sales, Market Access, R&D, Operations, Technology, Medical Affairs, Finance, Legal, and Executive Leadership. The Sr. Product Manager will ensure the portfolio is strategically differentiated, financially sustainable, operationally feasible, easy to sell internally, and easy for customers to understand externally.
KEY RESPONSIBILITIES
• Product Roadmap Strategy & Governance: Maintain a clear, well-structured product roadmap that serves as the single source of truth for rare disease product direction, execution priorities, and cross-functional alignment.
• Market & Customer Insight: Incorporate structured external inputs from customers, providers, commercial teams, competition, market access, technology trends, clinical landscape, and regulatory environment to identify market opportunities, unmet needs, and portfolio gaps. Synthesize these insights into the product roadmap.
• Cross-Functional Alignment: Partner closely with Sales, Market Access, R&D, Operations, Technology, Medical Affairs, Finance, Legal, Quality, and Client Services, to align roadmap priorities, execution requirements, resourcing, and stakeholder expectations.
• Prioritization & Business Case Development: Develop data-supported business cases and ROI justification including strategic fit, business impact, feasibility, revenue, profitability, market share, competitive advantage, technical
complexity, operational readiness, regulatory considerations, and resource requirements.
• Product Definition: Own Market Requirements Documents (MRDs), define target segments, value propositions, use cases, product features, workflows, user experience requirements, pricing inputs, and clinical, financial, adoption, operational, and quality success metrics.
• Product Performance Management: Monitor performance of on-market products, including volume, revenue, ASP, profitability, adoption, operational performance, quality indicators, and sustainability; proactively identify risks, trends and underperformance and drive corrective action plans with clear owners, timelines, and measurable progress tracking.
• Product Improvements & Lifecycle Management: Manage enhancements, iterations, releases, and lifecycle improvements for existing products; drive continuous improvement based on customer feedback, product performance, market changes, operational needs, reimbursement dynamics, and post-launch results.
• Commercialization Support: Support go-to-market readiness by partnering with Sales, Marketing, Client Services, Medical Affairs, Laboratory Operations, Clinical Operations, and other stakeholders on launch planning, training, materials, workflows, messaging, sales enablement, and commercial execution.
QUALIFICATIONS
Required
• Bachelor's degree in life sciences, genetics, bioinformatics, healthcare, business, or a related field.
• 10 years of experience in product management in diagnostics, genomics, or related field
• Experience with lifecycle management of on-market products and commercial product launches
• Experience leading cross-functional teams or initiatives in a clinical, healthcare, laboratory, or regulated environment.
• Strong ability to translate clinical, market, customer, and partner insights into practical product requirements, prioritized execution plans, and measurable business outcomes.
• Excellent communication, stakeholder management, analytical, and problem-solving skills.
• Equivalent combination of education and experience may be considered.
Preferred:
• Advanced degree such as MS, PhD, MBA, or genetic counseling degree.
• Experience with whole exome or whole genome sequencing or related technologies
• Experience with geneticists/genetic counselors, neurologists, and/or developmental pediatricians preferred
COMPETENCIES
• Strategic Thinking: Ability to evaluate market trends, customer needs, business goals, competitive dynamics, and portfolio performance to define a compelling product vision, roadmap, and investment priorities aligned to company strategy.
• Technical & Clinical Fluency: Strong understanding of genetic testing, genomic technologies, clinical workflows, data and analytics concepts, and regulated product development processes; ability to communicate effectively with R&D, Technology, Laboratory Operations, Medical Affairs, and other technical stakeholders.
• Communication & Cross-Functional Leadership: Excellent verbal and written communication skills with the ability to translate complex clinical, technical, market, and business requirements for executive, commercial, operational, and technical audiences; demonstrated ability to influence without direct authority and secure stakeholder alignment.
• Prioritization & Execution Discipline: Ability to prioritize initiatives using data, customer feedback, strategic fit, business impact, feasibility, and resource considerations; demonstrated capability to drive roadmap execution, product delivery, launch readiness, and continuous improvement with clear ownership and accountability.
• Customer & Market Insight: Deep customer orientation with the ability to gather and synthesize insights from providers, customers, sales teams, market access, competitive intelligence, user research, and performance data to anticipate needs and ensure products deliver meaningful clinical and business value.
• Analytical & Data-Driven Decision Making: Strong analytical skills and comfort using product, financial, commercial, operational, quality, and customer metrics to assess performance, identify risks and opportunities, develop business cases, and guide product decisions.
• Adaptability & Continuous Learning: Curiosity, flexibility, and commitment to continuous improvement in response to evolving customer expectations, reimbursement dynamics, regulatory requirements, emerging technologies, and changes in the rare disease genetic testing market.
EEO STATEMENT
Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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