ZipRecruiter

Log In

1

Qiagen Bioinformatics Jobs (NOW HIRING)

Qiagen

Senior Scientific Expert IVD

Germantown, MD

$82K - $137K/yr

Research novel biomarkers that can be integrated or added as assays on existing QIAGEN product platforms, including ELISA, PCR, POCT and NGS * Familiarity with bioinformatics tools * Provide ...

All JobsQiagen Bioinformatics Jobs

Qiagen Bioinformatics information

See salary details

$59.5K

$94.5K

$149.5K

How much do qiagen bioinformatics jobs pay per year?

As of Jul 26, 2026, the average yearly pay for qiagen bioinformatics 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 jobs can I get with a bioinformatics degree?

With a bioinformatics degree, you can pursue roles such as bioinformatics analyst, computational biologist, research scientist, or data scientist in biotech, pharmaceutical, or research institutions. These positions often require skills in programming, data analysis, and familiarity with tools like R, Python, and genomic databases.

How much do QIAGEN bioinformatics engineers make?

Bioinformatics engineers at QIAGEN typically earn between $70,000 and $110,000 annually, depending on experience, education, and location. They often work with genomic data analysis, using tools like Python, R, and Linux in a research or biotech environment.

What is Qiagen Bioinformatics?

Qiagen Bioinformatics refers to the suite of software tools, solutions, and services provided by QIAGEN for the analysis and interpretation of biological data. These tools support researchers and clinicians in areas such as genomics, transcriptomics, and metagenomics by enabling efficient data processing, visualization, and interpretation. Qiagen Bioinformatics products, like CLC Genomics Workbench and Ingenuity Pathway Analysis (IPA), are widely used in research labs, hospitals, and pharmaceutical companies to help turn complex biological data into actionable insights.

What are some of the common challenges faced by professionals in Qiagen Bioinformatics roles, and how can they be addressed?

Professionals working in Qiagen Bioinformatics often encounter challenges such as managing large-scale biological data, ensuring data quality, and integrating diverse data types from multiple sources. Effective communication with cross-functional teams, including laboratory scientists and IT specialists, is crucial to translate complex bioinformatics results into actionable insights. Staying updated with rapid developments in bioinformatics tools and best practices is essential, and leveraging Qiagen’s training resources can help address these challenges and support professional growth.

What kind of career opportunities are at QIAGEN?

Qiagen Bioinformatics offers a range of career opportunities including roles in data analysis, software development, and research support. These positions often require skills in bioinformatics tools, programming languages, and understanding of molecular biology, with opportunities for professional growth and collaboration in a scientific environment.

What is the difference between Qiagen Bioinformatics vs Bioinformatics Analyst?

AspectQiagen BioinformaticsBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; experience with bioinformatics toolsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, biotech companies, healthcare organizations
Employer & Industry UsageBiotech and pharmaceutical industries, focusing on genetic analysis and diagnosticsHealthcare, research, and biotech sectors analyzing biological data

Both roles involve analyzing biological data, but Qiagen Bioinformatics typically focuses on using Qiagen's tools and platforms for genetic research, while Bioinformatics Analysts may work with a broader range of tools and datasets across various organizations. The roles are similar in credentials and work environment, often overlapping in biotech and research settings.

What are the key skills and qualifications needed to thrive as a Qiagen Bioinformatics Specialist, and why are they important?

To thrive as a Qiagen Bioinformatics Specialist, you need a solid background in molecular biology, genomics, and bioinformatics, often supported by a relevant degree such as bioinformatics, biology, or computer science. Familiarity with Qiagen bioinformatics platforms (like CLC Genomics Workbench), scripting languages (e.g., Python, R), and experience with NGS data analysis are typically essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals excel in translating complex data into actionable insights for research or clinical teams. These competencies are crucial for ensuring accurate data interpretation, supporting scientific discovery, and delivering value through bioinformatics solutions.

Is QIAGEN a good company to work for?

As a company specializing in bioinformatics and molecular diagnostics, QIAGEN is considered a reputable employer in the biotech industry. Employees often cite a collaborative environment, opportunities for skill development, and competitive benefits, though experiences can vary by role and location.
More about Qiagen Bioinformatics jobs
What job categories do people searching Qiagen Bioinformatics jobs look for? The top searched job categories for Qiagen Bioinformatics jobs are:
Qiagen Bioinformatics jobs near you
Infographic showing various Qiagen Bioinformatics job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Test Automation Engineering Manager, Biomedical Knowledge Base, QDI

QIAGEN

Redwood City, CA • On-site

$56.25 - $74.50/hr

Full-time

Medical, Vision, Life

Posted 3 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 the Test Automation Engineering Manager, you will lead a team of 3-5 Test Automation Engineers and QA/QC specialists responsible for validating the scientific quality, correctness, and scalability of our biological content, analytics, and data pipelines. You will also remain a hands-on technical contributor, helping to develop scalable methods to assess the correctness and completeness of our biological information and the accuracy and reliability of our analytics and interpretations. You will be part of a collaborative, cross-functional team of content scientists, knowledge engineers, and software engineers building powerful tools to gain insight into biomolecular data. We have built a world-class Knowledge Base rich with molecular and functional relationships derived from scientific literature and biological databases. In combination with our Knowledge Base, we use semantic technologies and other computational techniques to provide biological context to our analytics. This is an excellent opportunity to be directly involved in developing our technology, delivering a high-quality product, and making an impact on human healthcare.
Your tasks include
Team Leadership & Management:
  • Lead, mentor, and develop a team of 3-5 Test Automation and QA/QC engineers.
  • Define team priorities, testing strategies, and quality goals.
  • Partner with cross-functional stakeholders to coordinate testing coverage and represent content QA in release planning and tracking.

Technical Leadership & Execution
  • Review and refine data and software requirements, use cases, and workflows for product features to ensure that they are scientifically valid, technically robust, and testable.
  • Design and implement automated quality controls and improve reliability of processes, pipelines, tools, and models that support development, build, and maintenance of our biological content.
  • Own the test automation lifecycle for specific data, product features, or tools, taking individual responsibility to specify and execute the testing approach in design, implementation, and reporting.
  • Select or develop test automation tools and frameworks. Contribute to maintenance of existing continuous integration pipelines and infrastructure.
  • Document testing and validation efforts according to appropriate quality management frameworks and regulations (ISO 9001, ISO 13485, IVDR)

Your Profile
  • Undergraduate degree in bioinformatics, bioengineering, genetics, molecular biology, or a related field. Graduate degree preferred.
  • 5+ years of industry experience in bioinformatics, including experience developing test automation for production-grade bioinformatics tools and pipelines.
  • 2+ years of experience managing engineers or bioinformatics scientists.
  • Strong software development fundamentals, with experience in multiple general-purpose programming languages, including Python, and comfort operating in a Linux environment. Experience with Perl and Java is a plus. Mastery of software engineering best practices such as version control (git), code review, unit and integration testing, documentation, and collaborative development.
  • Domain knowledge of human genetics and genomics, and familiarity with tools and databases used in genomic biomedical research (e.g., NCBI, Ensembl, RefSeq, ClinVar, COSMIC, OMIM).
  • Practical experience with biomedical ontologies (e.g., Gene Ontology, Human Phenotype Ontology) and related semantic technologies such as RDF, OWL, and SPARQL.
  • Experience with multiple data modeling paradigms, including relational databases (SQL) and non-relational approaches such as graph databases (e.g., Neo4j).
  • Experience with information extraction and knowledge modeling of structured and unstructured biological data sources is preferred.
  • Experience with API testing and browser-based test automation tools such as Selenium and WebDriver is a plus.

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.

Apply