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Bioinformatics Genetics Jobs (NOW HIRING)

QIAGEN

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

Undergraduate degree in bioinformatics, genetics, molecular biology, or related field. Graduate degree preferred. * 3+ years of industry experience in bioinformatics, including experience writing ...

Qiagen

Bioinformatics Engineer, QDI

Redwood City, CA

$130K - $150K/yr

Undergraduate degree in bioinformatics, genetics, molecular biology, or related field. Graduate degree preferred. * 3+ years of industry experience in bioinformatics, including experience writing ...

Ambry Genetics

Bioinformatics Engineer II

$90K - $140K/yr

Knowledge of next-generation sequencing technologies and standard bioinformatics data formats (e.g ... Knowledge of clinical genetics databases (e.g., Clinvar, HGMD) and HGVS sequence variant ...

Ambry Genetics

Bioinformatics Engineer II

$90K - $140K/yr

Knowledge of next-generation sequencing technologies and standard bioinformatics data formats (e.g ... Knowledge of clinical genetics databases (e.g., Clinvar, HGMD) and HGVS sequence variant ...

Baylor Genetics

AD Scientific Innovation

Houston, TX · On-site

D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Biomedical Engineering, or related field. • 8 years of experience in bioinformatics, computational biology, or genomics. • ...

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How much do bioinformatics genetics jobs pay per year?

As of Aug 26, 2026, the average yearly pay for 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 is a bioinformatics genetics?

A Bioinformatics Genetics job involves analyzing genetic data using computational tools and techniques. Professionals in this field use bioinformatics methods to study DNA, RNA, and protein sequences to identify variations, mutations, and their biological implications. They work with large datasets, develop algorithms, and apply machine learning to interpret genetic information. These roles are common in research institutions, healthcare, pharmaceuticals, and biotechnology companies. The goal is to advance personalized medicine, genetic research, and disease understanding through computational analysis.

What does a bioinformatics genetics do?

As a Bioinformatics Genetics professional, your typical responsibilities include analyzing and interpreting large-scale genetic or genomic datasets, developing custom data processing pipelines, and collaborating with researchers to design experiments or translate findings into actionable insights. You may work closely with scientists, clinicians, or IT specialists to ensure data quality and integrate results into broader research or clinical projects. Daily work often involves script coding, running computational analyses, and staying up to date with the latest advances in bioinformatics methods. This dynamic role offers a blend of independent work and team collaboration, fostering both technical and scientific growth.

What are the key skills and qualifications needed to thrive in bioinformatics genetics?

To thrive as a Bioinformatics Genetics professional, you need a strong background in genetics, computational biology, and data analysis, typically supported by a degree in bioinformatics, molecular biology, or a related field. Proficiency with programming languages such as Python or R, experience with genomic databases, and familiarity with bioinformatics tools like BLAST or GATK are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are important soft skills for success in interdisciplinary teams. These qualifications enable accurate analysis and interpretation of complex genetic data, contributing to advances in research and healthcare applications.

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What are the most commonly searched types of Bioinformatics Genetics jobs?

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Bioinformatics Genetics jobs near you
Infographic showing various Bioinformatics Genetics job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 74% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Bioinformatics Engineer - Variant

San Francisco, CA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$150 - $210/hr

Other

Posted 7 days ago

Job description

  • You’ll design, build, and evaluate LLM benchmarks for genomic analysis - spanning read alignment, assembly, variant calling, GWAS, causal inference, and multiomics integration.
  • Your benchmarks and evaluations will set the bar for how well AI agents can serve as analysis partners for scientists working with human genetics data.
  • You’ll own the full evaluation pipeline: choosing datasets, defining failure modes, writing grading scripts, and shipping evaluations that measure real capability.
  • Your work directly impacts how LLMs reason through genomic problems.
Requirements
  • Master's or PhD in bioinformatics, genetics, biology, statistics, or related field
  • 3-5 years of hands-on research experience analyzing genomics datasets (especially human data), demonstrated through publications or industry work
  • Deep expertise in at least one of: population genetics, statistical genetics, clinical genomics
  • Fluency with genotyping workflows: variant calling, fine-mapping, Mendelian randomization
Core Competencies

Demonstrates expertise in designing and evaluating LLM benchmarks for genomic analysis, with a strong focus on human genetics data and proficiency in genotyping workflows. Capable of managing the full evaluation pipeline, including dataset selection and performance measurement.

Highest-signal resume keywords
  • Master's Or PhD In Bioinformatics
  • 3-5 Years Research Experience In Genomics
  • Deep Expertise In Population Genetics
  • Fluency With Genotyping Workflows
  • Experience With Variant Calling
ATS Optimization Keywords Hard Skills
  • Genomic Analysis
  • Read Alignment
  • Assembly
  • Variant Calling
  • GWAS
  • Causal Inference
  • Multiomics Integration
  • Statistical Genetics
  • Clinical Genomics
Industry Keywords
  • Human Genetics Data
  • Evaluation Pipeline
  • Datasets
  • Failure Modes
  • Grading Scripts
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