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Genomic Variant Analyst Jobs (NOW HIRING)

Tuskegee University

Develop and implement bioinformatics pipelines for variant calling, structural variant detection ... Strong track record of peer-reviewed publications in genomic data analysis. * Excellent problem ...

Ambry Genetics

$110K - $114K/yr

The Clinical Genomic Scientist II is highly proficient in variant classification guidelines and in ... analysis Thorough and ongoing knowledge of current theories and principles of human genetics ...

Washington University of St. Louis

$17.10 - $29.09/hr

Conduct variant analysis and curation, helping to identify genomic variants underlying rare disease. * Maintain and manage large datasets, including data storage and data transfer of genomic data.

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$38K

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$117.5K

How much do genomic variant analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for genomic variant analyst in the United States is $73,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What does a Genomic Variant Analyst do?

A Genomic Variant Analyst is a specialist who examines genetic data to identify and interpret variations within genomes, such as mutations or structural changes in DNA. Their work is crucial for understanding genetic contributions to diseases, guiding clinical decision-making, and advancing personalized medicine. They use bioinformatics tools and databases to analyze sequencing data, annotate variants, and assess their significance. Genomic Variant Analysts often collaborate with clinicians, researchers, and laboratory staff to ensure accurate and meaningful interpretation of genomic information.

What are the key skills and qualifications needed to thrive as a Genomic Variant Analyst, and why are they important?

To thrive as a Genomic Variant Analyst, you need a strong background in genetics, molecular biology, and bioinformatics, typically supported by a relevant degree such as in genomics or computational biology. Experience with genomic data analysis tools (like GATK, VEP, or IGV), next-generation sequencing (NGS) platforms, and familiarity with databases such as ClinVar are essential. Attention to detail, problem-solving skills, and effective communication are important soft skills for interpreting results and collaborating with multidisciplinary teams. These capabilities ensure accurate variant identification, meaningful clinical interpretations, and successful integration of genomic data into research or healthcare.

What are some common challenges faced by Genomic Variant Analysts when interpreting complex genetic data, and how are they addressed?

Genomic Variant Analysts often encounter challenges such as distinguishing between benign and pathogenic variants, managing large volumes of sequencing data, and staying updated with rapidly evolving databases and guidelines. To address these, analysts rely on established variant classification frameworks, utilize collaborative review with clinical teams, and leverage specialized bioinformatics tools. Continuous professional development and participation in case discussions help ensure accurate interpretations and effective collaboration with genetic counselors and physicians.

How to become a genome analyst?

To become a genomic variant analyst, typically a bachelor's degree in genetics, biology, bioinformatics, or a related field is required, often followed by specialized training or a master's degree. Skills in data analysis, programming languages like Python or R, and experience with genomic databases and tools are essential. Certifications in bioinformatics or genomics can enhance job prospects, and familiarity with laboratory techniques and sequencing technologies is beneficial.

What is the highest paying job in genetics?

In genetics, roles such as genetic counselors, clinical geneticists, and research directors tend to have the highest salaries, often exceeding $150,000 annually. Senior positions requiring advanced degrees, certifications, and extensive experience typically command the highest compensation in the field.

What does a variant analyst do?

A genomic variant analyst examines genetic data to identify and interpret variations in DNA sequences that may be linked to diseases or traits. They use bioinformatics tools, databases, and statistical methods to analyze sequencing data, often working with next-generation sequencing technologies and requiring attention to detail and knowledge of genetics. Their work supports research, diagnostics, and personalized medicine efforts.

What does a genomic analyst do?

A genomic analyst studies genetic data to identify variations and mutations that may impact health or disease. They analyze DNA sequences using bioinformatics tools, interpret results, and often work in research or clinical laboratories, requiring knowledge of genetics, programming, and data analysis. Their work supports diagnostics, personalized medicine, and genetic research.

What is the difference between Genomic Variant Analyst vs Bioinformatics Technician?

AspectGenomic Variant AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Genetics, Bioinformatics, or related field; experience with genomic data analysisAssociate's or Bachelor's in Bioinformatics, Computer Science, or related field; basic scripting skills
Work EnvironmentLaboratories, research institutions, biotech companiesResearch labs, hospitals, biotech firms, computational environments
Employer & Industry UsageGenomics research, clinical labs, pharmaceutical companiesData processing, supporting genomic research, data management

The Genomic Variant Analyst focuses on interpreting genetic variations and analyzing sequencing data, often requiring advanced bioinformatics skills. In contrast, the Bioinformatics Technician typically handles data management, basic analysis, and supporting research activities. While both roles work within genomics and bioinformatics, the analyst role involves more complex data interpretation and analysis, whereas the technician provides essential support functions.

More about Genomic Variant Analyst jobs
What cities are hiring for Genomic Variant Analyst jobs? Cities with the most Genomic Variant Analyst job openings:
What states have the most Genomic Variant Analyst jobs? States with the most job openings for Genomic Variant Analyst jobs include:
What job categories do people searching Genomic Variant Analyst jobs look for? The top searched job categories for Genomic Variant Analyst jobs are:
Genomic Variant Analyst jobs near you
Infographic showing various Genomic Variant Analyst job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $73,532 per year, or $35.4 per hour.
Bioinformatics Content Manager

Bioinformatics Content Manager

Thermo Fisher Scientific

Ann Arbor, MI

Full-time

Posted 8 days ago

Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 413 frontline employees who took The Breakroom Quiz

194th of 527 rated manufacturers

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

R-01358811 Bioinformatics Content Manager

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe, or helping find cures for cancer.

Discover Impactful Work

You will lead a team of variant scientists within the Clinical Next Generation Sequencing Division, providing scientific, operational, and people leadership to support the development and maintenance of genomic knowledge resources, variant interpretation frameworks, and clinical reporting solutions. In this role, you will oversee the evaluation, analysis, and synthesis of complex clinical and scientific evidence from primary literature, clinical guidelines, and clinical trials to support precision oncology applications. You will be accountable for ensuring the quality, consistency, and scalability of scientific curation and interpretation activities while aligning team priorities with organizational objectives.

As a people leader, you will recruit, develop, mentor, and retain a high-performing team of scientists, fostering a culture of scientific excellence, collaboration, continuous improvement, and accountability. You will partner closely with scientific, technical, clinical, product, and business stakeholders to define resource allocation, establish priorities, and deliver key organizational initiatives.

Success in this role requires deep expertise in cancer genomics and variant interpretation, strong leadership and organizational skills, and the ability to balance scientific rigor with operational execution and compliance in a fast-paced, cross-functional environment.  The mission of this business unit is to develop next-generation sequencing-based solutions to support oncology research and other important unmet medical needs.

Location

This is a fully onsite role based in Ann Arbor, MI and relocation assistance is not provided. 

A Day in the Life

  • Oversee the interpretation, analysis, and summarization of clinical evidence to support somatic and germline variant annotation, classification, and reporting.
  • Define and drive content prioritization strategies while managing team capacity, workload allocation, product initiatives, assay development activities, and operational commitments.
  • Provide subject matter expertise throughout the assay development lifecycle, including requirements definition, evidence strategy, incorporation of clinical evidence and variant interpretation standards, validation support, and product launch activities.
  • Partner with software product owners and engineering teams to optimize and deliver a user-centered scientific user experience of the research and clinical workflows.
  • Collaborate across product, quality, regulatory, and clinical functions to deliver compliant, high-quality research use or regulated products.
  • Lead continuous improvement efforts to strengthen scientific rigor, data quality, operational efficiency, and organizational scalability.
  • Lead and develop a high-performing team of scientists through talent acquisition, performance management, coaching, and career development.
  • Monitor team performance, project progress, key deliverables, risks, and resource utilization, proactively implementing mitigation strategies to ensure successful execution.
  • Collaborate with leadership to develop strategic roadmaps, organizational priorities, and long-term capability plans informed by customer, market, scientific, and industry trends.
  • Foster a culture of accountability, inclusion, innovation, and continuous improvement.

Keys to Success

Education

PhD in cancer biology, cancer genomics, or molecular biology with expertise in solid/heme cancer genomics, tumor biology, signaling pathway, variant interpretation and NGS technologies. Post-doctoral experience is preferred.

Experience

  • 4+ years of relevant experience; industry based experience in genomic variant curation and clinical interpretation for somatic and germline cancers preferred.
  • Demonstrated people management experience is preferred.
  • Proven ability to manage multiple priorities and resources in a dynamic environment.
  • Proven ability to build effective partnerships and influence decision-making across scientific, technical, clinical, and business functions.
  • Experience with regulatory submissions, assay development, or genetic counseling is a plus.

Knowledge, Skills, Abilities

  • Excellent organizational, communication, and stakeholder management skills.
  • Strong leadership, coaching, mentoring, and performance management skills.
  • Experience driving continuous improvement and operational excellence initiatives.
  • Strong strategic thinking, problem-solving, and decision-making skills.
  • Commitment to fostering an inclusive, collaborative, and high-performance team culture.

Other

  • Must be legally authorized to work in the United States without sponsorship now or in the future.
  • Must be able to pass a comprehensive background check and drug screen.

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