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Genomics Jobs in Utah (NOW HIRING)

Senior Analytics Engineer

Salt Lake City, UT

$100K - $138K/yr

Lead the modernization of ARUP's data ontology for specific clinical and business domains such as Laboratory Operations, Revenue Cycle, Genomics, and Quality Control. Contribute to the long-term ...

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Genomics information

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$31.6K

$106K

$175.5K

How much do genomics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for genomics in Utah is $105,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,645.00 and $138,492.00 per year, depending on experience, location, and employer.

What is a genomics job?

A genomics job involves studying an organism's entire genetic makeup to understand gene functions, interactions, and variations. Professionals in this field work in research, healthcare, pharmaceuticals, or biotechnology, using advanced tools like sequencing technologies and bioinformatics. Their work can help in disease research, precision medicine, agriculture, and evolutionary biology. Common roles include genomic scientists, bioinformaticians, and clinical geneticists.

What are typical daily responsibilities for someone working in genomics?

Professionals in Genomics typically spend their days designing experiments, preparing and processing biological samples, and conducting analyses using high-throughput sequencing technologies. They also interpret large datasets using specialized bioinformatics tools, prepare reports or present findings to stakeholders, and collaborate with other scientists such as clinicians, computational biologists, or data analysts. The work environment can be a mix of laboratory work and computational data analysis, depending on the specific position. Regular team meetings and collaboration are common, especially in research or clinical settings where interdisciplinary problem-solving is essential.

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

To thrive in a Genomics role, you need a strong background in molecular biology, genetics, and bioinformatics, typically supported by an advanced degree in a life science and relevant laboratory experience. Proficiency with genomic sequencing platforms (such as Illumina or Oxford Nanopore), data analysis software, and experience with databases like NCBI or Ensembl are commonly required. Critical thinking, attention to detail, and collaborative communication are essential soft skills for interpreting complex data and working within multidisciplinary teams. These competencies are important for ensuring accurate genetic analysis, driving research projects, and making meaningful scientific contributions.

Does genomics pay well?

Genomics professionals, such as genomic scientists and bioinformaticians, typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start around $50,000 to $70,000 annually, while experienced specialists can earn over $100,000, especially with advanced skills in data analysis and laboratory techniques.

Is genomics a good career?

Genomics is a growing field that involves studying an organism's complete set of DNA. Careers in genomics often require strong skills in molecular biology, bioinformatics, and laboratory techniques, with opportunities in research, healthcare, and biotechnology sectors. The field offers competitive salaries and demand for skilled professionals is expected to increase with advances in personalized medicine and genetic research.

What jobs can you get with a genomics degree?

A genomics degree can lead to roles such as genomic researcher, bioinformatics analyst, laboratory technician, or clinical geneticist. These jobs often require skills in molecular biology, data analysis, and familiarity with sequencing technologies and software tools.

What skills do you need for genomics?

Genomics professionals need strong skills in molecular biology, genetics, and bioinformatics, including proficiency with data analysis tools and programming languages like Python or R. Attention to detail, problem-solving abilities, and knowledge of laboratory techniques are also essential for success in the field.

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

The most popular types of Genomics jobs in Utah are:

What are popular job titles related to Genomics jobs in Utah?

For Genomics jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Genomics jobs?

Cities in Utah with the most Genomics job openings:

Infographic showing various Genomics job openings in Utah as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $105,978 per year, or $51 per hour.

Senior Analytics Engineer

ARUP Laboratories

Salt Lake City, UT

$100K - $138K/yr

Full-time

Re-posted 6 hours ago


ARUP Laboratories rating

7.3

Company rating: 7.3 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

73rd of 121 rated laboratories


Job description

Schedule:
Monday - Friday (40 hrs/wk)
8:00 AM - 5:00 PM

Department: Biocomputing - 331

Primary Purpose:

The Sr. Analytics Engineer is responsible for modeling our complex clinical and operational data into data products that capture how a world-class laboratory functions. Works with Information Technology Staff, Medical Directors, and Lab Managers to understand the nuances of our laboratory operations to augment our data model for modern analytics tooling.

About ARUP:

ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.

ARUP proudly hires top talent to create a work environment of diversity, professional growth and continuous development. Our workforce is committed to the important service we provide to over one million patients each month. We always strive for excellence and have a strong desire to have involvement with the advances in medicine and the role laboratory services plays within each patient’s life. We never forget that there is a patient behind every specimen we receive.

We are looking for individuals who want to contribute to ARUP's culture of accountability, integrity, service, and excellence. Consider joining our dynamic team.

Essential Functions:

Apply software engineering best practices (version control, modularity, and automated testing, etc) to our data transformation layer using industry-standard frameworks such as dbt.

Architect and optimize the query layer to ensure performant analytics across our data lake and warehouse using serverless or managed technologies like Athena, Redshift, or BigQuery.

Own the ingestion and orchestration frameworks that stitch together disparate clinical data sources using modern tools such as Glue, Airflow, or Dagster.

Lead the modernization of ARUP’s data ontology for specific clinical and business domains such as Laboratory Operations, Revenue Cycle, Genomics, and Quality Control.

Contribute to the long-term technical roadmap for our data platform, informing high-level decisions on how to scale cloud-based storage and compute to handle high-volume data.

Collaborate with leadership to collect requirements and write the code for Secure, Timely, Accurate, Trusted, and Extensible (STATE) data products.

Other duties as assigned

Physical and Other Requirements:

Stooping: Bending body downward and forward by bending spine at the waist.

Reaching: Extending hand(s) and arm(s) in any direction.

Mobility: The person in this position needs to occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.

Communicate: Frequently communicate with others.

PPE: Biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies. 

ARUP Policies and Procedures: To conduct self in compliance with all ARUP Policies and Procedures.

Sedentary Work: Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.  

Fine Motor Control: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand as in handling.

Vision: Having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.


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