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Bioinformatics Assistant Jobs (NOW HIRING)

Axle

Bioinformatics Scientist

Baltimore, MD · On-site

Axle is seeking a Bioinformatics Scientist to join our vibrant team at the National Institutes of ... Dependent Care Assistant Program (DCAP) * Transportation Reimbursement Account (TRN) Position ...

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Bioinformatics Assistant information

What are Bioinformatics Assistants?

Bioinformatics Assistants are professionals who support bioinformatics projects by managing, analyzing, and interpreting biological data using computational tools and software. They often work under the supervision of bioinformaticians or researchers, assisting with tasks such as data entry, quality control, running basic analyses, and maintaining databases. Their work is essential in fields like genomics, proteomics, and biomedical research, where large datasets need to be processed efficiently. A Bioinformatics Assistant typically has a background in biology, computer science, or a related field, and is familiar with common bioinformatics software and programming languages.

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

A Bioinformatics Assistant needs a solid background in biology, statistics, and programming, often supported by a degree in bioinformatics or a related field. Familiarity with tools like Python, R, BLAST, and data analysis platforms, as well as experience working with genomic databases, is typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for this role. These competencies enable accurate data analysis, efficient collaboration with research teams, and the generation of meaningful biological insights.

How does a Bioinformatics Assistant typically collaborate with researchers and other team members on projects?

As a Bioinformatics Assistant, you will work closely with researchers, data scientists, and laboratory personnel to support ongoing projects. Your primary role often involves processing and analyzing large-scale biological data, helping translate raw datasets into meaningful insights. Collaboration usually entails regular meetings to discuss project goals, troubleshooting analysis pipelines, and integrating feedback from team members. Strong communication skills and a willingness to adapt to evolving project needs are essential for success in this dynamic and interdisciplinary environment.
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Bioinformatics Assistant jobs near you
Infographic showing various Bioinformatics Assistant job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution.
Bioinformatics Analyst - UT

Bioinformatics Analyst - UT

GATC Health

Salt Lake City, UT • On-site

Full-time

Posted 18 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.