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Bioinformatics Research Jobs (NOW HIRING)

Tamus

Research Specialist

College Station, TX · On-site

$5.4K/mo

Summary The Research Specialist performs bioinformatics research in a multidisciplinary environment investigating the interactions among nutrition, metabolism, immunity, aging, and chronic diseases.

Baylor Genetics

AD Scientific Innovation

... with R&D, Bioinformatics R&D and Software Engineering and Business Development teams. KEY RESPONSIBILITIES • Define and execute the bioinformatics innovation ideas. • Identify emerging ...

Lynker Corporation

Bioinformaticist

Miami, FL · On-site

$90K - $120K/yr

This proposed role will conduct and support bioinformatics research, genomic data analysis, molecular technique development, data visualization, reporting, and collaboration across SEFSC and NMFS ...

Lynker Corporation

Bioinformaticist

Miami, FL · On-site

$90K - $120K/yr

This proposed role will conduct and support bioinformatics research, genomic data analysis, molecular technique development, data visualization, reporting, and collaboration across SEFSC and NMFS ...

Axle

Bioinformatics Scientist

Bethesda, MD

We work with some of the top research organizations and facilities in the country including ... Bioinformatics Scientist To be considered for this position, please upload a document as your Cover ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

We work with some of the top research organizations and facilities in the country including ... Bioinformatics Scientist To be considered for this position, please upload a document as your Cover ...

Axle

Bioinformatics Scientist

Bethesda, MD

We work with some of the top research organizations and facilities in the country including ... Bioinformatics Scientist To be considered for this position, please upload a document as your Cover ...

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Every team member plays a crucial role in driving the future of biotech research, building the ...

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Bioinformatics Research information

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$59.5K

$94.5K

$149.5K

How much do bioinformatics research jobs pay per year?

As of Sep 6, 2026, the average yearly pay for bioinformatics research 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 bioinformatics research?

Bioinformatics research is a multidisciplinary field that combines biology, computer science, mathematics, and statistics to analyze and interpret biological data. Researchers in this area develop and use computational tools and techniques to understand complex biological processes, such as gene sequencing, protein structure prediction, and genome analysis. The goal is to extract meaningful insights from large datasets, which can lead to advances in medicine, agriculture, and environmental science. Bioinformatics research plays a crucial role in understanding diseases, developing new treatments, and personalizing healthcare.

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

To thrive as a Bioinformatics Researcher, you need a strong background in computational biology, statistics, and molecular biology, often supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R), bioinformatics tools (like BLAST, genome assembly software), and data analysis platforms is crucial. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across interdisciplinary teams and interpret complex data. These skills and qualities are essential for generating meaningful biological insights from large datasets and advancing scientific research.

What are the most common collaborative projects for professionals in bioinformatics research?

Bioinformatics researchers frequently collaborate on interdisciplinary projects that involve both computational scientists and experimental biologists. Common collaborations include analyzing genomic data for disease research, developing algorithms for large-scale data interpretation, and creating bioinformatics tools for laboratory use. These projects often require regular communication with wet-lab researchers to ensure that computational findings align with experimental needs, as well as working closely with statisticians and software developers. Effective teamwork and the ability to bridge the gap between biology and data science are crucial for success in this field.

How to become a bioinformatics researcher?

To become a bioinformatics researcher, typically a candidate needs a bachelor's degree in bioinformatics, biology, computer science, or a related field, followed by a master's or Ph.D. for advanced roles. Developing skills in programming languages like Python or R, understanding biological data, and gaining experience with tools such as genomic databases are essential. Relevant internships, research projects, and knowledge of statistical analysis can also enhance prospects in this field.

What does a bioinformatics researcher do?

A bioinformatics researcher analyzes biological data using computational tools and algorithms to understand genetic, genomic, and molecular information. They often work with large datasets, develop software or pipelines, and collaborate with biologists to interpret results, typically requiring skills in programming, statistics, and biology. Their work supports advancements in personalized medicine, genomics, and disease research.
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Bioinformatics Research jobs near you
Infographic showing various Bioinformatics Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

AD Scientific Innovation

Baylor Miraca Genetics Laboratories LLC

Houston, TX • On-site

$150 - $210/hr

Other

Re-posted 4 days ago

Job description

The Associate Director of Bioinformatics Innovation is responsible for driving the strategic vision, innovation roadmap, and execution of next-generation bioinformatics technologies that enable breakthrough products in genomics, precision medicine, molecular diagnostics, and AI-driven healthcare. This role combines scientific innovation,, computational expertise, and cross-functional collaboration to transform emerging technologies into scalable clinical and commercial solutions. THIS Can be REMOTE or Hybrid

The successful candidate will lead innovation initiatives across computational biology, machine learning, genomics, cloud computing, and software platforms while partnering closely with R&D, Bioinformatics R&D and Software Engineering and Business Development teams.

KEY RESPONSIBILITIES
  • Define and execute the bioinformatics innovation ideas.
  • Identify emerging technologies in bioinformatics, multi-omics, AI, and digital health.
  • Evaluate novel computational methods and translate cutting-edge research into commercially viable products.
  • Partner with cross-functional teams to translate innovative computational solutions into prototypes.
  • Support product roadmap planning and technology transfer.
  • Evaluate external technologies, open-source platforms, strategic partnerships, and licensing opportunities.
  • Foster a culture of innovation, collaboration, scientific excellence, and continuous learning.
QUALIFICATIONS Required
  • Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Biomedical Engineering, or related field.
  • 8 years of experience in bioinformatics, computational biology, or genomics.
  • 3 years of experience managing and leading a team, including direct people management responsibilities.
  • Familiarity with modern programming languages such as Python, R, C++, or Java.
  • Demonstrated success leading innovative computational solution development.
  • Deep knowledge of genomics, NGS analysis, statistical genetics, and computational biology.
  • Experience developing production-grade bioinformatics pipelines and software platforms.
  • Excellent communication and presentation skills.
Preferred:
  • Strong understanding of machine learning and AI applications in life sciences.
  • Experience working in multidisciplinary teams.
  • Experience with cloud computing platforms (AWS, Azure, or Google Cloud).
  • Experience with large-scale genomic databases and real-world clinical data.
  • Track record of patents, publications, or successful product launches.
COMPETENCIES
  • Strategic Thinking
  • Scientific Excellence
  • Cross-functional Collaboration
PHYSICAL DEMANDS AND WORK ENVIRONMENT
  • Frequently required to sit, talk, and hear.
  • Regular use of computer, keyboard, and standard office equipment.
  • May be required to manage multiple competing priorities in a fast-paced environment.
EEO STATEMENT

Baylor Genetics is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.

EEO STATEMENT

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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