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Bioinformatics Jobs in Utah (NOW HIRING)

Requires experience with multiple NGS methodologies and applied bioinformatics for data analysis, quality assessment, and interpretation of sequencing results. Collaborates and coordinates with R&D ...

Experience analyzing large data sets using coding (Python, R, etc.) and bioinformatic tools * Experience using analytical instrument software (Empower, Masshunter, etc.) * Knowledge of good ...

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Bioinformatics information

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$54.2K

$86K

$136.1K

How much do bioinformatics jobs pay per year?

As of Jun 16, 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.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics professionals. Bioinformatics jobs require domain expertise, interpretation skills, and understanding of biological context that AI cannot fully replicate. Professionals in this field will continue to work alongside AI to improve research and diagnostics.

What are typical day-to-day responsibilities for someone working in bioinformatics?

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 is a Bioinformatics job?

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 jobs in bioinformatics?

Jobs in bioinformatics include roles such as bioinformatics analyst, computational biologist, research scientist, and data scientist. These positions typically involve analyzing biological data using programming skills, statistical tools, and software like R or Python, often in research institutions, biotech companies, or healthcare settings.

Is bioinformatics a useful degree?

Bioinformatics is a valuable degree for careers involving computational analysis of biological data, such as genomics and drug discovery. It combines skills in biology, computer science, and data analysis, often requiring knowledge of programming languages and tools like Python or R. Graduates can work in research, healthcare, biotech, and pharmaceutical industries, where demand for data-driven biological insights is high.

What are the key skills and qualifications needed to thrive in the Bioinformatics position, and why are they important?

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.

Is bioinformatics well paid?

Bioinformatics professionals typically earn competitive salaries that vary by experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced roles exceeding $100,000, especially in biotech and pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.
What are the most commonly searched types of Bioinformatics jobs in Utah? The most popular types of Bioinformatics jobs in Utah are:
What cities in Utah are hiring for Bioinformatics jobs? Cities in Utah with the most Bioinformatics job openings:
Infographic showing various Bioinformatics job openings in Utah as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $86,007 per year, or $41.3 per hour.
Associate Director, Computational Biology - Early Discovery

Associate Director, Computational Biology - Early Discovery

Recursion

Salt Lake City, UT • On-site

$200K - $220K/yr

Other

Posted 19 days ago


Job description

The Impact You'll Make

As an Associate Director within Recursion's early discovery team, you will be at the forefront of reimagining drug discovery from first principles. You will lead a team of world-class computational biologists focused on identifying and advancing the next generation of oncology targets and therapeutics to fill our internal pipeline. You will act as a "player-coach," balancing direct technical contribution with the mentorship and strategic leadership of a high-performing team. Your mission is to integrate Recursion's massive datasets-phenomics, transcriptomics, genomics, proteomics-to nominate novel targets, validate disease biology, and define the precision oncology strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs.

This is a highly collaborative role: you will partner with biologists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery in oncology and immunological diseases. The ideal candidate has strong stakeholder management, technical communication, and 3+ years biotech or pharma experience in early drug discovery. 

In this role, you will:

  • Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion's platform to identify novel vulnerabilities in disease biology
  • Lead and mentor a team of data scientists and computational biologists, fostering a culture of scientific rigor, bold experimentation, delivery, and continuous professional growth. 
  • Pilot novel methods for target discovery, disease biology validation, and early patient population hypotheses to send programs into nomination cascades
  • Define internal criteria for target data packages and early patient population strategy
  • Connect your team's innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones
  • Collaborate cross-functionally: Partner with biologists, medicinal chemists, translational, and clinical leads to build compelling data packages that drive program milestones and portfolio investment decisions. 
  • Present data analysis to external decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.

The Team You'll Join 

Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I (immunology and inflammation), and neuroscience and we focus on advancing novel, targeted therapies for these disease areas. We partner closely with other functions to design and execute impactful and decisional data analyses for new targets and drug programs and are responsible for data strategy across the portfolio. 

The Experience You'll Need

  • PhD in a relevant field (computational biology, bioinformatics, cancer biology, immuno-oncology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in early drug discovery
  • Domain expertise in oncology or immunological diseases
  • Strong understanding of patient genetics and druggability of disease relevant pathways
  • Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R
  • Exceptional data visualization skills
  • A track record of managing and developing direct reports within a scientific or technical environment
  • Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations

Nice To Have:

  • Experience building a target discovery engine in oncology or immunological diseases
  • Experience designing high-throughput screens with CRISPR or small molecule perturbations to validate therapeutic hypotheses
  • Previous exposure to translational and/or clinical development programs to guide selection of relevant models for target validation experiments

Working Location & Compensation:

This is an office-based, hybrid position at our US headquarters located in Salt Lake City, Utah. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $200,000-$220,500. In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package.

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