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Executive Cancer Bioinformatics Jobs in Utah (NOW HIRING)

Employia

Software Engineer (New Grad)

Salt Lake City, UT · On-site

$90K - $160K/yr

Work directly with the Co-founder and CEO . You'll operate close to the company's most important ... Biology or bioinformatics experience is not required; the team can teach the domain if you bring ...

New

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Executive Cancer Bioinformatics information

What is an executive cancer bioinformatician?

An Executive Cancer Bioinformatician is a senior professional who leads the application of computational and statistical methods to analyze cancer-related biological data. They oversee teams and projects that interpret genomic, transcriptomic, and other 'omics' data to advance cancer research, diagnostics, and treatment development. Their role bridges advanced bioinformatics techniques with strategic leadership, often collaborating with oncologists, researchers, and pharmaceutical companies. Key responsibilities include designing data analysis pipelines, managing large-scale datasets, and translating complex findings into actionable insights for clinical or research use.

What are the key skills and qualifications needed to thrive as an executive cancer bioinformatics professional?

To thrive as an Executive Cancer Bioinformatics professional, you need advanced expertise in bioinformatics, cancer genomics, data analysis, and a relevant advanced degree (such as a PhD or MD/PhD). Familiarity with high-throughput sequencing technologies, statistical programming languages (like R or Python), and experience with bioinformatics tools and data platforms are essential, along with possible certifications in genomics or data science. Strong leadership, communication, and strategic thinking abilities are vital for guiding interdisciplinary teams and shaping research directions. These skills enable the effective translation of complex data into actionable insights for cancer research and clinical applications, driving innovation and organizational success.

What are some of the common challenges faced by professionals in executive cancer bioinformatics, and how can they be addressed?

Professionals in Executive Cancer Bioinformatics often encounter challenges such as managing large, complex datasets, ensuring data privacy, and keeping up with rapidly advancing technologies. To address these issues, it is essential to implement robust data management systems, stay updated through continuous education, and collaborate closely with multidisciplinary teams including clinicians, data scientists, and IT specialists. Regular communication and clear protocols help ensure data integrity and facilitate effective translation of bioinformatics insights into actionable clinical strategies.

What is the difference between Executive Cancer Bioinformatics vs Cancer Bioinformatics Specialist?

AspectExecutive Cancer BioinformaticsCancer Bioinformatics Specialist
CredentialsAdvanced degrees (PhD, MD), leadership experienceBachelor's or Master's in bioinformatics, biology, or related fields
Work EnvironmentStrategic planning, team leadership, cross-department collaborationData analysis, software development, research projects
Employer & Industry UsageBiotech firms, pharmaceutical companies, research institutionsResearch labs, biotech companies, academic institutions

Executive Cancer Bioinformatics roles focus on strategic leadership, project management, and decision-making at a high level, often overseeing teams and aligning research with business goals. In contrast, Cancer Bioinformatics Specialists are hands-on data analysts or researchers who perform detailed bioinformatics analyses to support cancer research. Both roles require strong technical skills, but differ significantly in scope and responsibilities.

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

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

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

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

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

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

What cities in Utah are hiring for Executive Cancer Bioinformatics jobs?

Cities in Utah with the most Executive Cancer Bioinformatics job openings:

Executive Cancer Bioinformatics jobs near you
Infographic showing various Executive Cancer Bioinformatics job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Software Engineer (New Grad)

Employia

Salt Lake City, UT • On-site

$90K - $160K/yr

Other

Posted 2 days ago

New

Key responsibilities

  • Own high-impact technical initiatives across the product, including customer-facing dashboards, sample-tracking notifications, visualization pipelines, ML-powered cancer-cell detection, and laboratory workflow automation.

  • Ship software from ambiguity to production, delivering solutions that are used in real-world clinical and laboratory settings.

  • Take responsibility for taking important problems from initial concept to production, ensuring timely delivery of functional software.

Job description

About the Company


We are building the Artificial Immunologist: a foundational laboratory that digitizes the immune system and turns high-resolution immune data into actionable signals for human health. The immune system sits at the center of oncology, autoimmune disease, clinical trials, prenatal medicine, surgery, and aging, yet its clinical utility remains largely untapped. We are building the infrastructure to change that.


By combining laboratory automation, immune profiling, data infrastructure, and machine learning, our technology helps drug developers and physicians answer consequential questions: Will a $200M+ clinical trial succeed? Will a therapy cause irreversible harm? Which patients will respond to a critical drug? This is an opportunity to build software at the intersection of AI, biology, and high-stakes healthcare.


Company Snapshot


  • $11.6M raised, with the latest financing completed in October 2021 at a $40M pre-money valuation.
  • 13-person team with only one existing engineer—this hire will become the second engineer.
  • 30+ clinical trials powered today for major drug developers including Genentech, Recursion, iOnctura, and Obsidian.
  • Revenue grew 300% year over year, with the business operating around cash-flow positive over the prior 18 months.
  • Full-stack clinical infrastructure spanning laboratory workflows, blood preservation, data analysis, and customer-facing products.
  • Interdisciplinary team combining expertise in immunology, advanced diagnostics, machine learning, and engineering.


Why Candidates Should Join


  • Become the second engineer. Influence architecture, product direction, engineering standards, and what gets built from the earliest stages.
  • Work directly with the Co-founder and CEO. You'll operate close to the company's most important technical, product, and customer problems.
  • Ship software with real-world consequences. Your work will directly support clinical trials, laboratory operations, and products used by major drug developers.
  • Own problems across the stack. Build customer-facing applications, automate laboratory workflows, improve data pipelines, and apply ML to cancer-cell boundary detection.
  • Build in a domain you can learn on the job. Biology or bioinformatics experience is not required; the team can teach the domain if you bring exceptional engineering ability.
  • Meaningful early-stage equity. Individual contributions have disproportionate influence on the company's trajectory.


About the Role


You'll join as the second software engineer, reporting directly to the co-founder and CEO. You'll own high-impact technical initiatives across the product, from customer-facing trial dashboards and sample-tracking notifications to visualisation pipelines, ML-powered cancer-cell detection, and laboratory workflow automation.


The expectation is straightforward: take important problems from ambiguity to production and ship software customers actually use. Within your first 90 days, you should have shipped either a customer-facing initiative or laboratory workflow automation into production.


Qualifications


  • 0–5 years of software engineering experience; exceptional new graduates with strong evidence of shipping are encouraged to apply.
  • Strong Python engineering skills.
  • Ability and willingness to work across the stack; React and TypeScript experience are useful but not required.
  • Familiarity with at least one major cloud platform such as AWS, GCP, or Azure.
  • Evidence of building and shipping quality software in a strong engineering environment.
  • Strong product judgment and an interest in working directly with customers.
  • Ability to communicate technical concepts clearly to non-technical users.
  • Strong analytical thinking, adaptability, and judgment around automation and reusable systems.
  • No specific degree or biology/bioinformatics background required. Engineering ability matters more than credentials or domain specialization.


Compensation & Logistics


  • $90K–$160K base + competitive equity
  • Location: Salt Lake City, UT or San Mateo, CA
  • Work Model: On-site, 5 days/week
  • Visa: Available


Apply