ZipRecruiter

Log In

1

Senior Variant Scientist Jobs (NOW HIRING)

Sanofi

Senior Scientist

Cambridge, MA · On-site

$100K - $136.60K/yr

Senior Scientist * Location: Cambridge, MA About the Job At Sanofi we are committed in our quest to ... for complex protein variant production * Independently manage multiple complex projects ...

Korro Bio

Senior Scientist, Computational Biology

Cambridge, MA · On-site

$99.50K - $135.90K/yr

We are seeking an experienced and versatile Senior Scientist, Computational Biology to join our ... Design, execute, and interpret NGS-based experiments (RNA-seq, variant calling, targeted amplicon ...

Sanofi

Senior Scientist

Cambridge, MA · On-site

$100K - $136.60K/yr

Senior Scientist * Location: Cambridge, MA About the Job At Sanofi we are committed in our quest to ... for complex protein variant production * Independently manage multiple complex projects ...

BillionToOne

Senior Scientist

Menlo Park, CA · On-site +1

$251.86K/yr

BillionToOne is seeking a Senior Scientist, Real-World Evidence, Oncology to help unlock insights ... variant interpretation, and clinical trial or guideline tracking-while helping lay the foundation ...

BillionToOne

Senior Scientist

Menlo Park, CA · On-site

$107.80K - $147.30K/yr

BillionToOne is seeking a Senior Scientist, Real-World Evidence, Oncology to help unlock insights ... variant interpretation, and clinical trial or guideline tracking-while helping lay the foundation ...

next page

Showing results 1-20

People also search for

All JobsVariant Scientist JobsSenior Variant Scientist Jobs

Senior Variant Scientist information

See salary details

$66.5K

$110.5K

$164.5K

How much do senior variant scientist jobs pay per year?

As of May 30, 2026, the average yearly pay for senior variant scientist in the United States is $110,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $125,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Variant Scientist, you need a deep understanding of molecular genetics, genomic data analysis, and variant interpretation, typically supported by a PhD or equivalent experience in genetics or related fields. Proficiency with bioinformatics tools (such as GATK, ANNOVAR, or VEP), next-generation sequencing platforms, and familiarity with clinical databases like ClinVar are crucial. Strong problem-solving, analytical thinking, and effective communication skills distinguish top performers in this role. These competencies are vital for delivering accurate variant assessments that guide clinical decision-making and advance research in genomics.

How do Senior Variant Scientists typically collaborate with other teams during the process of variant interpretation and reporting?

Senior Variant Scientists play a pivotal role in multidisciplinary teams by collaborating closely with clinical geneticists, bioinformaticians, and laboratory technicians. They often participate in variant review meetings, contribute expert opinions during case discussions, and help refine protocols for variant classification. Regular communication ensures that data interpretation aligns with clinical guidelines, and that reporting is accurate and actionable. This collaborative environment supports high-quality results and continuous learning, offering opportunities for leadership and cross-functional project involvement.

What are Senior Variant Scientists?

Senior Variant Scientists are specialized professionals in genetics and genomics who analyze and interpret genetic variants, often from DNA sequencing data. They play a critical role in clinical diagnostics, research, and precision medicine by determining which genetic changes are associated with disease. Their work involves reviewing scientific literature, using bioinformatics tools, and collaborating with clinicians to provide accurate variant classifications. Senior Variant Scientists typically have advanced degrees in genetics or related fields and several years of experience in genetic analysis.
More about Senior Variant Scientist jobs
What cities are hiring for Senior Variant Scientist jobs? Cities with the most Senior Variant Scientist job openings:
What are the most commonly searched types of Variant Scientist jobs? The most popular types of Variant Scientist jobs are:
What states have the most Senior Variant Scientist jobs? States with the most job openings for Senior Variant Scientist jobs include:
What job categories do people searching Senior Variant Scientist jobs look for? The top searched job categories for Senior Variant Scientist jobs are:
Senior Variant Scientist jobs near you
Infographic showing various Senior Variant Scientist job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $110,545 per year, or $53.1 per hour.
Senior Scientist, Computational Biology

Senior Scientist, Computational Biology

Korro Bio

Cambridge, MA

$99.50K - $135.90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago

Job description

Company Summary: Korro is a biopharmaceutical company focused on developing a new class of genetic medicines for both rare and highly prevalent diseases using its proprietary RNA editing platform. Korro is generating a portfolio of differentiated programs that are designed to harness the body's natural RNA editing process to effect a precise yet transient single base edit. By editing RNA instead of DNA, Korro is expanding the reach of genetic medicines by delivering additional precision and tunability, which has the potential for increased specificity and improved long-term tolerability. Using an oligonucleotide-based approach, Korro expects to bring its medicines to patients by leveraging its proprietary platform with precedented delivery modalities, manufacturing know-how, and established regulatory pathways of approved oligonucleotide drugs. Korro is based in Cambridge, Massachusetts.

We are collaborative and united by a common mission. We are building a company with extraordinary people with an audacious vision to create transformative genetic medicines for prevalent diseases. Our values - Rewrite the future, On the Cutting Edge, Better Together, Dynamically Different, Kindness and Integrity form the fabric of the organization. They are reinforced daily and serve as key dimensions in the hiring process to help us ensure that Korro is a magnet for outstanding talent and a great place to work. Join us as we redefine what's possible in genetic medicine and work to make a lasting impact on human health.
Position Summary:
We are seeking an experienced and versatile Senior Scientist, Computational Biology to join our Data Science team and contribute across the breadth of Korro's research and translational programs. The successful candidate will operate as an analytical generalist - comfortable moving between target validation, NGS/omics analysis, assay analytics, and translational support for our oligonucleotide therapeutics pipeline. This is a hands-on role suited to someone who has already proven themselves in a biotech or pharma environment and who thrives in a small, fast-moving organization where program needs evolve quickly.
Key Responsibilities:

  • Drive computational biology analyses across Korro's research pipeline, including target validation, mechanism-of-action studies, and characterization of RNA editing activity in preclinical models. 

  • Design, execute, and interpret NGS-based experiments (RNA-seq, variant calling, targeted amplicon sequencing) in support of oligonucleotide design, screening, and pharmacology workstreams. 

  • Partner with platform biology, chemistry, and pharmacology teams to translate experimental questions into rigorous analytical workflows and to communicate results in a form that informs program decisions. 

  • Develop and maintain reproducible analysis pipelines in R and/or Python, leveraging existing Data Science infrastructure (Posit Connect, MLflow, containerized environments, AWS). 

  • Contribute analytical support to the preclinical-to-clinical translational handoff for our GalNAc-conjugated programs, including PK/PD characterization and biomarker analysis as programs mature. 

  • Collaborate with cross-functional stakeholders to scope new analyses, set realistic timelines, and deliver results that are technically sound and decision-ready. 

  • Mentor junior scientists and contractors on best practices in scientific computing, reproducibility, and statistical rigor. 

  • Share findings through internal presentations and contribute to the scientific community through publications or presentations as appropriate. 

Required Qualifications:

  • Ph.D. in Computational Biology, Bioinformatics, Genomics, Computational Chemistry, or a related quantitative discipline, with 3+ years of post-PhD experience in a biotech or pharmaceutical industry setting. Academic-only or pure-tech industry experience will not be considered for this role. 

  • Demonstrated track record of shipped, decision-impacting analyses on industry programs - e.g., target validation, biomarker discovery, oligonucleotide or small-molecule pharmacology, or preclinical-to-clinical translation. 

  • Strong scientific programming in R and/or Python, with proficiency in standard biological data analysis libraries (Bioconductor, tidyverse, pandas, numpy, scikit-learn, etc.). 

  • Solid experience analyzing NGS data, including RNA-seq differential expression workflows, variant calling, and quality control of sequencing experiments. 

  • Familiarity with oligonucleotide or RNA-based therapeutics - including chemical modifications, delivery modalities (GalNAc, LNP), and the analytical considerations specific to ASOs, siRNAs, or related modalities. 

  • Working knowledge of statistical modeling appropriate to biological data: linear and generalized linear models, mixed-effects models, multiple testing correction, and basic experimental design. 

  • Comfort working with messy, real-world experimental data and collaborating directly with bench scientists to refine analytical questions. 

  • Excellent written and oral communication skills, including the ability to translate technical results for non-computational stakeholders. 

Preferred Qualifications:

  • Experience analyzing clinical or translational data - Phase 1 PK/PD, biomarker time-courses, or exposure-response analyses - is a strong plus. 

  • Familiarity with hepatology, metabolic disease, or other indications relevant to GalNAc-conjugated oligonucleotide therapeutics. 

  • Experience with cloud-based analytical infrastructure (AWS), containerized workflows (Docker), and reproducible reporting tools (Posit Connect, Quarto, R Markdown). 

  • Prior contribution to IND-enabling packages or regulatory submissions. 

  • Peer-reviewed publications in computational biology, genomics, or therapeutic pharmacology. 

  • Hands-on experience using agentic coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) in a production scientific computing context, with a thoughtful perspective on where these tools accelerate work and where human review remains essential. 

$150,000 - $200,000 a year
The range provided is based on what we believe is a reasonable estimate for the base the salary pay range for this job at this time. This does not include annual bonus and equity. The actual salary will be based on a number of factors including skills, competencies, experience, and other job related factors permitted by law.
Benefits:  Korro offers competitive compensation, including equity-based compensation, and a comprehensive benefits package that includes medical, dental, vision, 401(k) retirement plan, life insurance, a dependent care flexible spending account and a Company-funded health savings account and free parking.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply