ZipRecruiter

Log In

1

Biotechnology Bioinformatics Jobs (NOW HIRING)

GATC Health

Bioinformatics Analyst - CA

Irvine, CA

... biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ...

AIRNA

Director, Head of Bioinformatics

Cambridge, MA · On-site

COMPANY OVERVIEW AIRNA is a biotechnology company with a mission to be the leading RNA editing ... The Head of Bioinformatics will lead the strategic vision, build and manage a high-performing ...

next page

Showing results 1-20

People also search for

All JobsBiotechnology Bioinformatics Jobs

Biotechnology Bioinformatics information

See salary details

$59.5K

$94.5K

$149.5K

How much do biotechnology bioinformatics jobs pay per year?

As of May 30, 2026, the average yearly pay for biotechnology 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 are the key skills and qualifications needed to thrive as a Biotechnology Bioinformatics professional, and why are they important?

To thrive as a Biotechnology Bioinformatics professional, you need a solid background in molecular biology, genetics, and computational data analysis, typically supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with programming languages (such as Python, R), bioinformatics software (like BLAST, Bioconductor), and experience with databases (e.g., GenBank) are commonly required. Strong problem-solving skills, attention to detail, and effective communication help professionals collaborate and interpret complex biological data. These skills are essential for advancing research, developing innovative solutions, and translating biological data into actionable insights.

How do bioinformatics professionals in biotechnology typically collaborate with laboratory scientists?

Bioinformatics professionals in biotechnology often work closely with laboratory scientists to analyze and interpret complex biological data, such as genomic sequences or protein structures. Collaboration usually involves regular meetings to discuss experimental design, data requirements, and results interpretation. Bioinformaticians may assist in developing custom analysis pipelines, troubleshooting issues, and translating computational findings into actionable insights for experimental work. This teamwork is crucial for advancing research projects and ensuring that computational and experimental efforts are well-integrated.

What is biotechnology bioinformatics?

Biotechnology bioinformatics is a field that combines biology, computer science, and information technology to analyze and interpret biological data, especially large datasets like DNA sequences, protein structures, and gene expression profiles. Professionals in this area develop and apply computational tools to solve problems in biotechnology, such as drug discovery, genetic engineering, and personalized medicine. Their work enables researchers to make sense of complex biological information, accelerating innovation in healthcare, agriculture, and environmental science.

What is the difference between Biotechnology Bioinformatics vs Molecular Biologist?

AspectBiotechnology BioinformaticsMolecular Biologist
Required CredentialsBachelor's or Master's in Bioinformatics, Biotechnology, or related fields; often includes programming skillsBachelor's or Master's in Molecular Biology, Genetics, or related fields; laboratory experience essential
Work EnvironmentLaboratories, research centers, biotech companies; focus on data analysis and computational toolsWet labs, research institutions, hospitals; focus on experimental work and biological assays
Employer & Industry UsageBiotech firms, pharmaceutical companies, research institutionsAcademic labs, healthcare, research institutes

Biotechnology Bioinformatics primarily involves analyzing biological data using computational methods, while Molecular Biologists focus on experimental research in biological systems. Both roles are vital in biotech and research sectors but differ in skills and daily tasks.

More about Biotechnology Bioinformatics jobs
What cities are hiring for Biotechnology Bioinformatics jobs? Cities with the most Biotechnology Bioinformatics job openings:
What are the most commonly searched types of Biotechnology Bioinformatics jobs? The most popular types of Biotechnology Bioinformatics jobs are:
What states have the most Biotechnology Bioinformatics jobs? States with the most job openings for Biotechnology Bioinformatics jobs include:
What job categories do people searching Biotechnology Bioinformatics jobs look for? The top searched job categories for Biotechnology Bioinformatics jobs are:
Biotechnology Bioinformatics jobs near you
Infographic showing various Biotechnology Bioinformatics job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 2% Part Time, 1% Temporary, and 5% Contract. Highlights an 47% Physical, 1% Hybrid, and 52% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Bioinformatics Analyst - CA

Bioinformatics Analyst - CA

GATC Health

Irvine, CA

Full-time

Posted 15 days ago

Job description

Company Overview: GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration.
 
Position Overview: We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position.
 
Roles and Responsibilities
  • Prep and Process data through GATC platform based on customer or internal end user requirements.
  • Implement primary and secondary analysis tools for GATC’s assays.
  • Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment product applications.
  • Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to very large numbers of samples.
  • Engage with external collaborators on the evaluation of beta version products and analysis of novel data.
Role Requirements
  • Degree in computational biology, bioinformatics, computer science or similar.
  • Experience analyzing complex multi-omic datasets, including human or single cell data.
  • Experience implementing, and evaluating novel bioinformatics algorithms and pipelines.
  • Experience in programming in scripting (Python or similar) and interpreted languages (R, etc).
  • Demonstrated ability to become proficient in new fields and work with interdisciplinary teams.
  • Excellent verbal/written communication and interpersonal skills with scientist and non-scientists.
Role Preferences
  • Experience using or interfacing with machine learning algorithms.
  • Experience analyzing and interpreting large-scale human or single cell datasets.
  • Experience with professional software development methods and tools in a team environment.
  • Experience in programming in scripting (Python), interpreted (R ) and compiled languages (C++ / Rust / Java).
  • Experience working with collaborators, including lab scientists on multi-omic method development.
  • Experience visualizing scientific datasets and results.
  • Experience using cloud computing environments.
  • Computational biology and bioinformatics innovation.
Why Join Us:
• Opportunity to work at the intersection of technology and science, driving innovation in pharmaceutical discovery.
• Collaborative and inclusive work culture that values diversity, creativity, and continuous learning.
• Competitive compensation package, including salary, benefits, and opportunities for professional development.
• Chance to make a meaningful impact on human health and contribute to groundbreaking research and development projects.
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.