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Bioinformatics Research Assistant Jobs in Utah (NOW HIRING)

Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Research Technician

Salt Lake City, UT · On-site

$9.62 - $16.86/hr

... assist in characterizing a tumor model of childhood central nervous system cancer. The candidate ... including using bioinformatics to identify genes, cloning genes into expression vectors and ...

Research Technician

Salt Lake City, UT

$17.50 - $24/hr

... assist in characterizing a tumor model of childhood central nervous system cancer. The candidate ... including using bioinformatics to identify genes, cloning genes into expression vectors and ...

Post Doc Res Assoc

Salt Lake City, UT · On-site

$63K - $71K/yr

Use statistical and bioinformatic tools to analyze research data * Prepare and write detailed ... * Assist the principal investigator (PI) in preparing grant applications and reports for internal ...

Post Doc Res Assoc

Salt Lake City, UT

$15 - $18.75/hr

Use statistical and bioinformatic tools to analyze research data * Prepare and write detailed ... * Assist the principal investigator (PI) in preparing grant applications and reports for internal ...

Bioinformatics Research Assistant information

What are some common challenges faced by bioinformatics research assistants, and how can they be addressed?

Bioinformatics Research Assistants often encounter challenges such as managing large datasets, staying current with rapidly evolving software tools, and effectively communicating complex findings to interdisciplinary teams. To address these challenges, it's important to develop strong organizational skills, maintain flexibility to learn new technologies, and collaborate closely with both computational and biological researchers. Regularly attending team meetings and seeking mentorship from senior staff can also help navigate technical and communication hurdles.

What does a bioinformatics research assistant do?

A Bioinformatics Research Assistant supports scientific research by applying computational tools and techniques to analyze biological data, such as DNA, RNA, or protein sequences. Their work often involves managing large datasets, running bioinformatics software, and helping interpret results to draw meaningful biological conclusions. They collaborate with researchers, assist in experiment design, and may contribute to scientific publications. This role requires a blend of biology knowledge and programming skills, often using languages like Python or R.

What are the key skills and qualifications needed to thrive as a bioinformatics research assistant, and why are they important?

To thrive as a Bioinformatics Research Assistant, you need a solid background in biology, statistics, and computer science, usually supported by a relevant degree. Familiarity with programming languages such as Python or R, as well as experience with bioinformatics tools and databases like BLAST or NCBI, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These skills are crucial for producing accurate scientific analyses, supporting research goals, and advancing discoveries in life sciences.
What are popular job titles related to Bioinformatics Research Assistant jobs in Utah? For Bioinformatics Research Assistant jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Research Assistant jobs in Utah look for? The top searched job categories for Bioinformatics Research Assistant jobs in Utah are:
What cities in Utah are hiring for Bioinformatics Research Assistant jobs? Cities in Utah with the most Bioinformatics Research Assistant job openings:
Infographic showing various Bioinformatics Research Assistant job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Bioinformatics Analyst - UT

GATC Health

Salt Lake City, UT • On-site

$80K - $90K/yr

Full-time

Re-posted 21 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.