ZipRecruiter

Log In

1

Bioinformatic Engineer Jobs in Utah (NOW HIRING)

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Develop systems bioinformatics approaches including Machine Learning-based to decipher host ... Programming skills with Python, R, Java, C/C++, or Perl, and efficiency in Linux / UNIX operating ...

Utah State University

Postdoctoral Fellow I

Logan, UT

$42K - $57K/yr

Develop systems bioinformatics approaches including Machine Learning-based to decipher host ... Programming skills with Python, R, Java, C/C++, or Perl, and efficiency in Linux / UNIX operating ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

... programmable therapeutic modules and want to work at the intersection of mitochondrial biology ... Computational and AI approaches: microprotein bioinformatics, multi-omic integration, protein ...

Danaher

Scientist, Chemistry and Raw Materials

Logan, UT · On-site

$70K - $80K/yr

... engineering, R&D, sourcing, planning, and product management. We also regularly present at ... Experience analyzing large data sets using coding (Python, R, etc.) and bioinformatic tools

All JobsBioinformatic Engineer JobsBioinformatic Engineer Jobs in Utah

Bioinformatic Engineer information

See Utah salary details

$30K

$81.2K

$129.3K

How much do bioinformatic engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for bioinformatic engineer in Utah is $81,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $99,200.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatic Engineer vs Bioinformatics Analyst?

AspectBioinformatic EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisAnalyzes biological data, interprets results, and reports findings

While both roles involve biological data, Bioinformatic Engineers focus on developing computational tools and pipelines, whereas Bioinformatics Analysts primarily interpret data and generate insights. Both positions require similar educational backgrounds and are vital in research and healthcare settings, but their core responsibilities differ in development versus analysis.

What are some common challenges faced by Bioinformatic Engineers when working with large-scale genomic data?

Bioinformatic Engineers often encounter challenges related to managing and processing vast amounts of genomic data, which can require significant computational resources and efficient data handling strategies. Ensuring data integrity, reproducibility of analyses, and effective collaboration with multidisciplinary teams of biologists, statisticians, and software developers are also key aspects of the role. Staying updated with the latest bioinformatics tools and pipelines is essential, as the field evolves rapidly. Overcoming these challenges requires strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders.

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

To thrive as a Bioinformatic Engineer, you need a strong background in computational biology, programming (such as Python or R), statistics, and a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (like BLAST, GATK, or Bioconductor), data analysis platforms, and experience with databases such as SQL are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are essential for accurately analyzing biological data, deriving meaningful insights, and facilitating research or clinical advancements.

What are Bioinformatic Engineers?

Bioinformatic Engineers are professionals who develop and apply computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and genetic information. They combine expertise in computer science, biology, and mathematics to process large datasets generated by modern biological experiments. Their work supports research in areas like genomics, drug discovery, and personalized medicine by helping scientists make sense of complex biological data.
What are popular job titles related to Bioinformatic Engineer jobs in Utah? For Bioinformatic Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Bioinformatic Engineer jobs in Utah look for? The top searched job categories for Bioinformatic Engineer jobs in Utah are:
Bioinformatic Engineer jobs near you
Bioinformatics Analyst - UT

Bioinformatics Analyst - UT

GATC Health

Salt Lake City, UT • On-site

Full-time

Posted 22 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.