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From Home Bioinformatics Software Engineer Jobs in Utah

... from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will ... software development methods and tools in a team environment. * Experience in programming in ...

... from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will ... software development methods and tools in a team environment. * Experience in programming in ...

Senior Software Engineer

Midvale, UT · On-site

$115K - $152K/yr

The Software Engineer plays a key role in modernizing our critical platforms and driving our cloud ... This position has a hybrid work from home schedule with a minimum of three days per week in the ...

Senior Software Engineer

Midvale, UT · On-site

$115K - $152K/yr

The Software Engineer plays a key role in modernizing our critical platforms and driving our cloud ... This position has a hybrid work from home schedule with a minimum of three days per week in the ...

Senior CIAM Software Engineer

Midvale, UT · On-site

$115K - $152K/yr

We are seeking a Senior CIAM Software Engineer in Salt Lake City to join our CIAM team to help ... This position has a hybrid work from home schedule with a minimum of three days per week in the ...

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From Home Bioinformatics Software Engineer information

What is the difference between From Home Bioinformatics Software Engineer vs From Home Data Scientist?

AspectFrom Home Bioinformatics Software EngineerFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills in Python, R, JavaBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in Python, R, SQL
Work EnvironmentRemote, often collaborating with research labs, biotech firms, or healthcare companiesRemote, working with tech companies, finance, or healthcare organizations
Industry UsagePrimarily in biotech, healthcare, and research institutionsAcross tech, finance, healthcare, and consulting sectors

Both roles often require strong programming skills and a background in data analysis. The main difference lies in their focus: Bioinformatics Software Engineers specialize in biological data and research applications, while Data Scientists work across various industries analyzing diverse data sets. Both roles are increasingly remote and collaborative, making them suitable for from-home work environments.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Utah? The most popular types of Bioinformatics Software Engineer jobs in Utah are:
What cities in Utah are hiring for From Home Bioinformatics Software Engineer jobs? Cities in Utah with the most From Home Bioinformatics Software Engineer job openings:
Infographic showing various From Home Bioinformatics Software Engineer job openings in Utah as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution.

Bioinformatics Analyst - UT

GATC Health

Salt Lake City, UT • On-site

$80K - $90K/yr

Full-time

Re-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.