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Bioinformatics Jobs in Utah (NOW HIRING)

GATC Health

Bioinformatics Analyst - UT

Salt Lake City, UT · On-site

$80 - $90/hr

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 ...

GATC Health

Bioinformatics Analyst - UT

Salt Lake City, UT · On-site

$80K - $90K/yr

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 ...

micro1 AI

Bioinformatics Software Engineer

Provo, UT · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

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Bioinformatics information

See Utah salary details

$54.2K

$86K

$136.1K

How much do bioinformatics jobs pay per year?

As of Aug 25, 2026, the average yearly pay for bioinformatics in Utah is $86,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $117,900.00 per year, depending on experience, location, and employer.

What is bioinformatics?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

What are the typical day-to-day responsibilities of a bioinformatics professional?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What are the key skills and qualifications needed to thrive in bioinformatics?

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

Do bioinformaticians make a lot of money?

Bioinformaticians typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced professionals earning over $100,000, especially in biotech or pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.

How hard is it to get a job in bioinformatics?

Securing a job in bioinformatics can be competitive, often requiring a strong background in biology, computer science, or related fields, along with skills in programming, data analysis, and familiarity with tools like Python, R, or Linux. Relevant education such as a master's or Ph.D. and experience with large datasets or sequencing technologies can improve job prospects, but entry-level positions are available for those with relevant skills and training.

What do people who work in bioinformatics do?

Bioinformatics professionals analyze biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop software, interpret large datasets, and collaborate with biologists and healthcare researchers to advance understanding of biological processes and improve medical research.

What jobs can I do with bioinformatics?

Bioinformatics professionals can work as bioinformatics analysts, computational biologists, research scientists, or data scientists in healthcare, pharmaceuticals, biotechnology, and academic research. These roles often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, and SQL.

What are the most commonly searched types of Bioinformatics jobs in Utah?

The most popular types of Bioinformatics jobs in Utah are:

What are popular job titles related to Bioinformatics jobs in Utah?

For Bioinformatics jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Bioinformatics jobs in Utah look for?

The top searched job categories for Bioinformatics jobs in Utah are:

What cities in Utah are hiring for Bioinformatics jobs?

Cities in Utah with the most Bioinformatics job openings:

Bioinformatics jobs near you
Infographic showing various Bioinformatics job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $86,007 per year, or $41.3 per hour.

Bioinformatics Analyst - UT

GATC Health

Salt Lake City, UT

$80K - $90K/yr

Full-time

Re-posted 9 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.
$80,000 - $90,000 a year
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.
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