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Entry Level Bioinformatics Genetics Jobs (NOW HIRING)

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational and AI approaches: microprotein bioinformatics, multiomic integration, protein ...

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational and AI approaches: microprotein bioinformatics, multiomic integration, protein ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational and AI approaches: microprotein bioinformatics, multiomic integration, protein ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational and AI approaches: microprotein bioinformatics, multi-omic integration, protein ...

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Entry Level Bioinformatics Genetics information

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$59.5K

$94.5K

$149.5K

How much do entry level bioinformatics genetics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level bioinformatics genetics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What does an entry level bioinformatics genetics professional do?

An entry level bioinformatics genetics professional assists in analyzing and interpreting genetic data using computational tools and software. They often work with DNA and RNA sequence data to help identify genetic variations, support research projects, and maintain biological databases. Their tasks may include coding, running algorithms, creating visualizations, and collaborating with biologists or geneticists. This role is essential in advancing research in genomics, personalized medicine, and biotechnology.

What are the key skills and qualifications needed to thrive as an entry level bioinformatics genetics professional, and why are they important?

To thrive as an Entry Level Bioinformatics Genetics professional, you need a strong background in molecular biology, genetics, and computational analysis, typically supported by a relevant degree such as bioinformatics, biology, or computer science. Familiarity with programming languages like Python or R, experience with genomic databases, and knowledge of tools such as BLAST and genome browsers are essential. Strong analytical thinking, attention to detail, and effective communication help you interpret complex data and collaborate with multidisciplinary teams. These skills and qualities are crucial for accurately analyzing genetic information and contributing to impactful research and clinical applications.

What is the difference between Entry Level Bioinformatics Genetics vs Entry Level Genomics Technician?

AspectEntry Level Bioinformatics GeneticsEntry Level Genomics Technician
Required CredentialsBachelor's in Bioinformatics, Genetics, or related field; basic programming skillsBachelor's in Biology, Genetics, or related field; laboratory experience
Work EnvironmentResearch labs, biotech companies, academic institutions; data analysis focusLaboratories, research facilities; hands-on sample processing and data collection
Employer & Industry UsageBiotech firms, research institutes, healthcare companiesGenomics labs, clinical research centers, biotech companies

Entry Level Bioinformatics Genetics roles focus on analyzing genetic data using computational tools, while Entry Level Genomics Technicians primarily handle laboratory sample processing and data collection. Both roles are essential in genetics research but differ in their daily tasks and skill requirements.

What are some common challenges faced by entry level bioinformatics genetics professionals, and how can they be overcome?

Entry-level bioinformatics genetics professionals often encounter challenges such as bridging the gap between biological concepts and computational methods, adapting to rapidly evolving technologies, and managing large datasets. To overcome these challenges, it's helpful to proactively seek mentorship, participate in interdisciplinary team meetings, and continuously expand both coding and domain-specific knowledge. Engaging in collaborative projects and utilizing available online resources can also accelerate learning and foster confidence in tackling complex biological data.
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What cities are hiring for Entry Level Bioinformatics Genetics jobs? Cities with the most Entry Level Bioinformatics Genetics job openings:
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Entry Level Bioinformatics Genetics jobs near you
Infographic showing various Entry Level Bioinformatics Genetics job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Bioinformatics Analyst

Centrillion Technologies, Inc.

Palo Alto, CA

$65K - $90K/yr

Full-time

Posted 18 days ago

Job description

Centrillion Technologies develops advanced DNA Chips which have a wide range of applications, including whole genome sequencing, spatial biology, digital pathology, next generation genotyping, synthetic biology and DNA computing. Our world’s most advanced high resolution and highly sensitive spatial chips, chemistry, its lithographic design and encoding technologies have been licensed to 10x Genomics for spatial genomics and the spatial technologies have been commercialized as through 10x Genomics’ Visium HD spatial chips, exclusively in US and Centrillion’s Zipcode spatial chips for single cell level spatial genomics and digital pathology.

Our Palo Alto facility functions as a research institute where our team of scientists work on the latest in chemistry, biochemistry, genomics, electronics, artificial intelligence, and bioinformatics. Our current focus areas are chromosomal scale DNA sequencing, next generation genotyping, and exploratory DNA computing research.

Centrillion’s Molecular Vision Laboratory (MVL) is a leader in identification of genetic mutations in vision disorders. Centrillion is backed by venture capital and strategic investors and has operations in Silicon Valley, CA, Portland, OR and in Asia Pacific.

Bioinformatics Analysts

As a Bioinformatics Analyst, you will be responsible for developing algorithms and tools/pipelines for data analysis, including new genome sequencing data, genotyping data and other biomedical data. You will perform data analysis and benchmark analytical algorithms, tools and pipelines; participate in product development and customer support projects; explore new frontiers of data analysis; and take on other tasks that the supervisor sees fit. The bioinformatics analyst is also expected to collaborate effectively internally with molecular biologists, manufacturing, engineering and other departments as well as external academic and clinical researchers.

We have two positions open – one entry level with BS degree required; and one mid-level with MS degree required.

Requirements:

  • BS or MS in statistics, applied mathematics, computer science or other computational science

  • Knowledge about next generation sequencing (NGS), genotyping and other biotechnologies

  • Familiarity with NGS data analysis algorithms and tools/pipelines

  • Programming skills with C++, Python or Perl, R

  • Fast learner and willing to learn new skills and technologies

  • Team player with good communication skills

Desirable:

  • Expertise in machine learning algorithms

  • Experience in Next Generation Sequencing (NGS) bioinformatics pipelines/tools

  • Genomics software: Mutect, Varscan2, or similar

  • Standard genomics software (BWA, GATK, SAMTools or similar)

  • Databases (Cosmic, TCGA, etc)

  • Familiarity with various assays, sequencing modes and analysis approaches (WGS vs. Exome, RNA-seq)

  • BASH scripting and Unix/Linux command line tools

  • Databases – SQL and NoSQL

Applicants must be authorized to work for ANY employer in the United States on a permanent basis. We are unable to sponsor or take over sponsorship of an employment visa at this time.

The expected salary range for this position is between $65,000 to $90,000. Actual pay may be more or less than the posted range. Centrillion considers a variety of factors when determining base compensation, including, but not limited to, job-related knowledge, skills, experience, education, position level and geographical location. These considerations mean actual compensation will vary. This position may also be eligible for annual bonus and equity grants, in addition to a full range of financial, health and wellness benefits, depending on the position offered.

Centrillion Technologies, Inc. is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the Individuals seeking employment at Centrillion are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.