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Bioinformatics Industry Jobs (NOW HIRING)

We have developed industry-leading software tools for analysis and reporting of biological data. We ... As a Bioinformatics Engineer in the Content Development team, you will play a critical role in ...

Bioinformatics Scientist II

Boston, MA · Hybrid

$129K - $162K/yr

Master's degree in Biochemistry, Bioinformatics, Computational Biology, Computer Science or similar discipline * 2+ years of relevant industry or academic experience * Proficiency with scripting for ...

Bioinformatics Scientist II

Boston, MA · On-site

$130 - $162/hr

Master's degree in Biochemistry, Bioinformatics, Computational Biology, Computer Science or similar discipline * 2+ years of relevant industry or academic experience * Proficiency with scripting for ...

We have developed industry-leading software tools for analysis and reporting of biological data. We ... As a Bioinformatics Engineer in the Content Development team, you will play a critical role in ...

Master's degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related discipline with 1-3 years of relevant academic or industry experience; PhD preferred. * Hands-on ...

Present findings to scientific teams, leadership, collaborators, and industry stakeholders Required Qualifications * Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Statistics ...

Present findings to scientific teams, leadership, collaborators, and industry stakeholders Required Qualifications * Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Statistics ...

Postdoctoral and/or industry experienceis a major plus. * Experience developing and implementing novel bioinformatics algorithms and pipelines. * Extensive experience processing, integrating, and ...

Present findings to scientific teams, leadership, collaborators, and industry stakeholders Required Qualifications * Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Statistics ...

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Bioinformatics Industry information

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$59.5K

$94.5K

$149.5K

How much do bioinformatics industry jobs pay per year?

As of Sep 6, 2026, the average yearly pay for bioinformatics industry in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the bioinformatics industry?

The bioinformatics industry focuses on the development and application of computational tools to manage, analyze, and interpret biological data, especially large datasets such as genomic sequences. Companies in this field provide products and services like software for DNA analysis, drug discovery platforms, and data management solutions. The industry supports sectors such as pharmaceuticals, biotechnology, healthcare, and agriculture by enabling data-driven research and innovation. Bioinformatics professionals may work in research, product development, or technical support roles within these organizations.

What are the key skills and qualifications needed to thrive in the bioinformatics industry?

To thrive in the bioinformatics industry, you need a strong background in biology, computer science, and statistics, often supported by a relevant degree or advanced training. Familiarity with programming languages like Python or R, experience with genomic databases, and knowledge of tools such as BLAST, Bioconductor, or cloud computing platforms are typically required. Critical thinking, problem-solving, and the ability to communicate complex data insights clearly are essential soft skills. These competencies enable professionals to analyze biological data effectively, drive scientific discovery, and contribute to advancements in healthcare and biotechnology.

What are some common challenges bioinformatics professionals face when working in industry settings?

In industry roles, bioinformatics professionals often encounter challenges such as integrating heterogeneous data from various sources, managing large-scale datasets, and keeping up with rapidly evolving computational tools and technologies. Collaboration with multidisciplinary teams, including wet-lab scientists, software engineers, and data analysts, is essential and can sometimes require bridging communication gaps. Additionally, balancing research innovation with business-oriented project timelines can be demanding, making time management and adaptability important skills in this environment.

What is the difference between Bioinformatics Industry vs Bioinformatics Analyst?

AspectBioinformatics IndustryBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, Computer ScienceBachelor's or Master's in Bioinformatics, Biology, Computer Science
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, biotech companies, healthcare settings
Employer & Industry UsageUsed across biotech, pharma, research organizationsCommonly employed in research, healthcare, and biotech sectors
Search & Comparison IntentUnderstanding industry roles, career paths, job opportunitiesJob-specific roles, responsibilities, and skills required

Bioinformatics Industry refers to the broader sector encompassing companies and organizations involved in bioinformatics research and development. A Bioinformatics Analyst is a specific role within this industry, focusing on analyzing biological data. While both share similar credentials and work environments, the industry covers the entire field, whereas the analyst role is a particular job position within that field.

Is bioinformatics still a good career?

Bioinformatics is a growing field with strong demand for professionals skilled in data analysis, programming, and biological sciences. It offers opportunities in research, healthcare, and biotechnology industries, often requiring knowledge of tools like Python, R, and databases. The field is expected to continue expanding as personalized medicine and genomic research advance.

What jobs can I do with bioinformatics?

Bioinformatics professionals can work as bioinformatics analysts, computational biologists, research scientists, or data scientists in healthcare, pharmaceuticals, and biotech industries. These roles often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, and SQL.
More about Bioinformatics Industry jobs

What are the most commonly searched types of Bioinformatics Industry jobs?

The most popular types of Bioinformatics Industry jobs are:

What states have the most Bioinformatics Industry jobs?

States with the most job openings for Bioinformatics Industry jobs include:

Infographic showing various Bioinformatics Industry job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 15% Part Time, and 7% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Bioinformatics Engineer, QDI

QIAGEN

Redwood City, CA • On-site

$130K - $150K/yr

Full-time

Medical, Vision, Life

Posted 24 days ago


Job description

Overview
At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.
We're dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We're always striving to identify talented individuals to join our exceptional teams.
We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.
At QIAGEN, every day is an opportunity to make a real-life impact.
Join us, grow with us, and together, let's shape the future of biological discovery.
About the opportunity
QIAGEN Digital Insights is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples. We have developed industry-leading software tools for analysis and reporting of biological data. We are passionate about our users, our products, and our vision, and are seeking smart, motivated engineers and scientists who are eager to join our team in creating software that helps improve people's lives.
Our mission is to make improvements in life possible. We accomplish this by designing tools used in labs all over the world to facilitate scientific discovery and progress, focused on genomics.
As a Bioinformatics Engineer in the Content Development team, you will play a critical role in maintaining and extending QIAGEN's biomedical knowledge base by integrating new knowledge from public data sources and facilitating capture of unstructured data into existing and new semantic models, as well as leveraging our Knowledge Graph to deliver data, interpretations, and inferences to our applications and customers. You will also contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and completeness of content delivered to our downstream application teams.
Your tasks include
  • Develop and maintain bioinformatics software tools and pipelines to ingest, transform, interpret, and export structured and unstructured biomedical data.
  • Maintain and extend a complex biomedical ontology spanning the entire range of biological entities and processes relevant to life science R&D and clinical genomics.
  • Collaborate with product management and application software developers to investigate new content sources related to product features and define requirements for content development projects.
  • Contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and reliability of the biomedical knowledge base and interpretation of content in the applications via a Quality Management System (QMS).

Your profile
  • Undergraduate degree in bioinformatics, genetics, molecular biology, or related field. Graduate degree preferred.
  • 3+ years of industry experience in bioinformatics, including experience writing production-quality code for bioinformatics tools and pipelines.
  • Strong software development fundamentals, with experience in multiple general-purpose programming languages, including Python, and comfort operating in a Linux environment. Competence with software engineering best practices such as version control, code review, unit and integration testing, documentation, and collaborative development.
  • Experience with multiple data modeling paradigms, including relational databases (SQL) and non-relational approaches such as graph databases (e.g., AWS Neptune, Neo4j).
  • Hands-on experience with biomedical ontologies and related technologies such as RDF and OWL.
  • Familiarity with bioinformatics tools in genome biomedical research (e.g., genomic databases, genome browsers, mutation repositories), or integrative data analysis as it relates to genetics, multiomics, cell biology, physiology and pathology.

The estimated base salary range for this position is $130,000 - $150,000. Compensation will be based on the candidate's experience, skills, geographic location, and other job-related factors. In addition to base salary, we offer a total compensation package that includes a bonus plan and generous benefits.
What we offer
  • Bonus/Commission

  • Local benefits

  • Referral Program

  • Volunteer Day

  • Internal Academy (QIALearn)

  • Employee Assistance Program

  • Hybrid work (conditional to your role)

Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve. We inspire with our leadership and make an impact with our actions. We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.
QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.