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Cancer Bioinformatics Jobs in Utah (NOW HIRING)

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Cancer Bioinformatics information

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$44.6K

$185.2K

$364.1K

How much do cancer bioinformatics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for cancer bioinformatics in Utah is $185,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $364,100.00 per year, depending on experience, location, and employer.

What is cancer bioinformatics?

A Cancer Bioinformatics job involves analyzing and interpreting large-scale biological data to understand cancer biology and improve treatment strategies. Professionals in this field use computational tools, machine learning, and statistical methods to study genomic, transcriptomic, and clinical data. They work closely with oncologists, biologists, and data scientists to identify biomarkers, track tumor evolution, and develop personalized medicine approaches. This role is essential for advancing cancer research, optimizing therapies, and contributing to precision oncology.

What are the typical daily responsibilities of a cancer bioinformatics specialist?

Professionals in Cancer Bioinformatics spend their days analyzing large-scale genomic datasets from cancer patients, designing algorithms to identify genetic mutations, and interpreting the biological significance of their findings. They often collaborate closely with oncologists, laboratory scientists, and other bioinformaticians to translate data into clinically meaningful insights. Tasks may also include developing and maintaining computational pipelines, preparing reports or visualizations, and staying updated on new analytical methods. This role blends technical and analytical work with teamwork, offering a dynamic work environment where your contributions can directly impact cancer research and patient outcomes.

What are the key skills and qualifications needed for cancer bioinformatics?

To excel in Cancer Bioinformatics, you typically need a strong background in bioinformatics, computational biology, statistical analysis, and a degree in a life science or computational field. Familiarity with tools such as R, Python, next-generation sequencing (NGS) platforms, and commonly used databases like TCGA or COSMIC is vital, and certifications in bioinformatics or genomics can be advantageous. Excellent problem-solving abilities, teamwork, and strong communication skills help in collaborating effectively with multidisciplinary researchers and clinicians. Mastering these skills ensures accurate analysis of complex cancer datasets, supports collaborative discoveries, and advances precision oncology research.

What is the role of bioinformatics in cancer?

In cancer bioinformatics, professionals analyze large-scale genomic and molecular data to identify genetic mutations, biomarkers, and pathways involved in cancer development and progression. They use computational tools and algorithms to interpret sequencing data, aiding in diagnosis, personalized treatment, and research efforts.

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

The most popular types of Cancer Bioinformatics jobs in Utah are:

Infographic showing various Cancer Bioinformatics job openings in Utah as of August 2026, with employment types broken down into 2% Internship, 2% As Needed, 78% Full Time, 14% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $185,231 per year, or $89.1 per hour.

Associate Director, Computational Biology - Early Discovery

Recursion

Salt Lake City, UT • On-site

$200.60 - $220.50/hr

Other

Re-posted 8 days ago


Job description

Associate Director, Computational Biology – Early Discovery

Salt Lake City, Utah

Your work will change lives. Including your own.

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 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 skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 to $220,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

The Values We Hope You Share
  • We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust.
  • We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action.
  • We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.
  • We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day.
  • We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together.
  • We are One Recursion. True cross‑functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities.

Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.

Accommodations are available on request for candidates taking part in all aspects of the selection process.

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