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Bioinformatics Engineering Jobs in Denver, CO (NOW HIRING)

Experience working cross-functionally with engineering, bioinformatics, and quality teams * Exposure to regulated change control processes and software impact assessments in regulated environments.

Experience working cross-functionally with engineering, bioinformatics, and quality teams * Exposure to regulated change control processes and software impact assessments in regulated environments.

Data Analyst

Boulder, CO · On-site

$125 - $150/hr

Bachelor's or Master's in Statistics, Biostatistics, Chemical Engineering, Bioinformatics, Cheminformatics, or related fields with 5-8 years of experience, or a PhD with 3-5 years of experience.

Data Analyst

Boulder, CO · On-site

$100K - $150K/yr

Bachelor's or Master's in Statistics, Biostatistics, Chemical Engineering, Bioinformatics, Cheminformatics, or related fields with 5-8 years of experience, or a PhD with 3-5 years of experience.

Staff Scientist

Boulder, CO · On-site

$120K - $140K/yr

Experience developing bioinformatics workflows for NGS assays for non-technical users Travel, Motor ... Python programming, machine learning methods, and NextFlow * developing gene expression phenotype ...

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Bioinformatics Engineering information

See Denver, CO salary details

$44.3K

$134.9K

$245.5K

How much do bioinformatics engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for bioinformatics engineering in Denver, CO is $134,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $161,600.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What are popular job titles related to Bioinformatics Engineering jobs in Denver, CO?

For Bioinformatics Engineering jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Engineering jobs in Denver, CO look for?

The top searched job categories for Bioinformatics Engineering jobs in Denver, CO are:

What cities near Denver, CO are hiring for Bioinformatics Engineering jobs?

Cities near Denver, CO with the most Bioinformatics Engineering job openings:

Infographic showing various Bioinformatics Engineering job openings in Denver, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $134,890 per year, or $64.9 per hour.

Software Test Engineer

Natera

Boulder, CO

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Natera rating

7.8

Company rating: 7.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

56th of 121 rated laboratories


Job description

Work Schedule: Monday - Friday (with flexibility to meet operational needs), on-site or hybrid (minimum 2d per week onsite)

Location: On-Site in Boulder, CO (Foresight Dx business unit, a Natera company)

Foresight Diagnostics is a molecular diagnostics company pioneering non-invasive cancer detection through highly sensitive, cell-free DNA-based liquid biopsy technologies. Our proprietary methods - originally developed at Stanford University - are designed to detect smaller tumors earlier and enable more personalized treatment strategies for patients with cancer. 

We sit at the intersection of molecular biology, bioinformatics, and next-generation sequencing (NGS), and we translate rigorous science into clinically meaningful solutions. Following our acquisition by Natera, we now combine the agility of a mission-driven startup with the scale and resources of a global leader in cell-free DNA testing. It's an exciting moment to join us. 

Headquartered in Boulder, Colorado, our team operates in a high accountability, collaborative environment where quality and continuous improvement aren't just values - they're how we work every day.

What You Will Do: 

  • Design, develop, and execute test cases based on software requirements, functional specifications, and user needs for laboratory systems

  • Perform manual and/or automated testing to validate software functionality, data integrity, and workflow performance in a CLIA-regulated environment

  • Partner closely with laboratory operations teams to understand end-to-end workflows and translate them into effective test scenarios

  • Identify, document, and track software defects; collaborate with engineering teams to troubleshoot and resolve issues

  • Support validation and verification activities for new software releases, system upgrades, and process changes in accordance with CLIA, CAP, NYSDOH, and internal quality standards

  • Ensure traceability between requirements, test cases, and validation documentation

  • Participate in risk assessments and impact analyses related to software changes affecting laboratory operations

  • Contribute to the development and continuous improvement of software testing strategies, SOPs, and documentation practices

  • Support audits and inspections by maintaining clear, thorough, and compliant testing documentation

  • Act as a quality advocate, ensuring software supports accurate, reliable, and timely patient testing results

  • Partner with Operational Excellence to align test strategies with process design, workflow optimization, and scalability initiatives.

  • Provide input into system requirements and user stories based on laboratory workflow expertise and testing insights.

  • Support critical feedback loops to ensure continuous improvements to software systems.

  • Support change management efforts by assessing downstream operational impact of software releases and enhancements.

What You Will Bring:

Minimum Requirements:

  • Bachelor's degree in a scientific discipline (e.g., Biology, Molecular Biology, Bioinformatics) or related field, or equivalent experience

  • 2+ years of experience in software testing, quality assurance, or validation, preferably in a regulated environment

  • Familiarity with NGS workflows and/or clinical laboratory operations (CLIA, CAP, or equivalent)

  • Experience writing and executing test cases based on requirements and specifications

  • Strong attention to detail and ability to identify edge cases and failure modes

  • Excellent documentation skills with a focus on clarity, completeness, and compliance

  • Demonstrated ability to translate complex operational workflows into structured test scenarios and validation strategies.

 Preferred Qualifications:

  • Experience testing LIMS, LIS, or other laboratory software systems

  • Knowledge of software development lifecycle (SDLC) and validation frameworks (e.g., CSV, GxP)

  • Experience working in high-complexity molecular diagnostics or MRD testing environments

  • Familiarity with data validation, NGS file formats (e.g., FASTQ, BAM, VCF), and/or bioinformatics pipelines

  • Exposure to test automation tools or scripting (e.g., Python, SQL)

  • Experience working cross-functionally with engineering, bioinformatics, and quality teams

  • Exposure to regulated change control processes and software impact assessments in regulated environments.

Key Competencies

  • Quality Mindset: Operates with a strong understanding of regulated environments and the importance of compliance, accuracy, and reproducibility

  • Attention to Detail: Able to rigorously evaluate software behavior and identify subtle defects or inconsistencies

  • Problem Solving: Approaches issues methodically, with a focus on root cause analysis and practical solutions

  • Systems Thinking: Understands how software, workflows, and laboratory operations interconnect and impact one another across the full testing lifecycle.

  • Operational Acumen: Demonstrates awareness of real-world laboratory constraints, throughput considerations, and process dependencies.

  • Collaboration: Works effectively across technical and non-technical teams to drive outcomes

  • Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities

Compensation & Total Rewards 

This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations.

This position is also eligible for additional compensation and benefits through Natera's robust Total Rewards program, including:

  • Annual performance incentive bonus
  • Long-term equity awards
  • Comprehensive health benefits (medical, dental, vision)
  • 401(k) with company match
  • Generous paid time off and company holidays
  • Additional wellness and work-life benefits

Compensation Range

$111,600.00 - $125,000.00   


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