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Bioinformatics Associate Jobs in Maryland (NOW HIRING)

Qiagen

Bioinformatics Scientific Expert

Frederick, MD

$80K - $110K/yr

About the opportunity Join QIAGEN's Bioinformatics team and contribute to the development of innovative genomic technologies that support molecular diagnostics and life science products. In this role ...

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Bioinformatics Associate information

See Maryland salary details

$47.6K

$197.5K

$388.2K

How much do bioinformatics associate jobs pay per year?

As of Sep 1, 2026, the average yearly pay for bioinformatics associate in Maryland is $197,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,200.00 and $388,200.00 per year, depending on experience, location, and employer.

What does a Bioinformatics Associate do?

The role of a bioinformatics associate is to perform detailed data analysis in a biology or life sciences research lab. An associate is a staff scientist or researcher, and they have significant responsibilities within the lab structure. They are responsible for conducting information support using primary research as well as developing models using a data algorithm or other analytical tools. A bioinformatics associate uses these to analyze the information and data sets collected in the lab. They may also develop a storage and archiving system so that other researchers can access data sets. Qualifications to become a bioinformatics associate typically include a master’s degree or Ph.D.

What does a Bioinformatics Associate do?

A Bioinformatics Associate is responsible for analyzing and interpreting complex biological data, often using computational tools and software. They work closely with scientists to manage and process large datasets, such as genomic sequences or protein structures. Their tasks may include developing workflows, running bioinformatics pipelines, and helping to visualize and present results. Typically, they support research projects in fields like genomics, molecular biology, and drug development. Bioinformatics Associates play a key role in translating raw biological data into actionable scientific insights.

What are the key skills and qualifications needed to thrive as a Bioinformatics Associate?

A Bioinformatics Associate requires a strong background in biology, computer science, and statistics, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, Python, R, and experience with genomic databases are commonly expected, along with knowledge of data visualization platforms. Critical thinking, attention to detail, and effective communication help professionals interpret complex data and collaborate with scientific teams. These skills ensure accurate analysis, meaningful insights, and successful contributions to research projects in a rapidly evolving field.

How does a Bioinformatics Associate typically collaborate with laboratory scientists and data analysts on research projects?

Bioinformatics Associates often serve as a bridge between laboratory scientists and data analysts, translating experimental requirements into computational workflows and helping to interpret complex biological data. They regularly meet with lab teams to discuss project goals, data quality, and analysis strategies, ensuring that bioinformatics approaches align with experimental designs. Collaboration is highly iterative, involving feedback loops to refine analyses based on preliminary findings and to troubleshoot data issues, which helps drive research projects forward efficiently and accurately.
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Bioinformatics Associate jobs near you
Infographic showing various Bioinformatics Associate job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $197,474 per year, or $94.9 per hour.

Bioinformatics Scientific Expert

Qiagen

Frederick, MD

$80K - $110K/yr

Full-time

Medical, Vision, Life

Posted 6 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
Join QIAGEN's Bioinformatics team and contribute to the development of innovative genomic technologies that support molecular diagnostics and life science products. In this role, you will combine expertise in next-generation sequencing (NGS), molecular assay design, and computational biology to develop robust bioinformatics solutions that advance scientific discovery and improve healthcare outcomes worldwide. Working in a highly collaborative environment, you will partner with scientists, software engineers, assay developers, and cross-functional teams to transform complex biological data into impactful products and actionable insights.
Your tasks include
  • Develop, optimize, validate, and maintain bioinformatics workflows and pipelines for next-generation sequencing (NGS) data analysis.
  • Analyze large-scale genomic and sequencing datasets to generate scientific insights that support product innovation and development.
  • Design and optimize PCR and digital PCR (dPCR) assays using sequence analysis tools and bioinformatics methodologies.
  • Create computational approaches for primer and probe design, target selection, and assay performance evaluation.
  • Collaborate closely with molecular biologists, assay developers, software engineers, and product development teams throughout the product lifecycle.
  • Evaluate emerging bioinformatics technologies, algorithms, AI/ML approaches, and software tools to improve analytical performance and efficiency.
  • Document methods, validation activities, and scientific findings in accordance with quality standards and communicate results to internal stakeholders.
Your profile
  • 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 experience with NGS data analysis and familiarity with common genomic file formats such as FASTQ, BAM/CRAM, and VCF.
  • Experience with PCR and/or digital PCR (dPCR) assay design, including primer and probe design principles.
  • Strong programming skills in Python, R, or similar scripting languages, with experience working in Linux/Unix environments.
  • Knowledge of machine learning methods applied to biological or genomic data and familiarity with frameworks such as scikit-learn, PyTorch, or TensorFlow.
  • Understanding of molecular biology, genomics, nucleic acid chemistry, and statistical analysis techniques relevant to bioinformatics applications.
  • Experience with Git, software development best practices, and production-quality bioinformatics pipelines; experience in a regulated biotechnology, diagnostics, or pharmaceutical environment is considered an advantage.

The estimated base salary range for this position is $80,000-$110,000. 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.

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