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Genotyping Jobs (NOW HIRING)

Retro

Scientist, Genomics

Redwood City, CA

$43.25 - $54.25/hr

We are hiring a high-agency scientist to build genomics platforms that drive the discovery of therapies that rejuvenate cells and tissues. You'll own sequencing workflows end-to-end, working closely ...

Retro

Scientist, Genomics

Redwood City, CA · On-site

$130K - $170K/yr

We are hiring a high-agency scientist to build genomics platforms that drive the discovery of therapies that rejuvenate cells and tissues. You'll own sequencing workflows end-to-end, working closely ...

PacBio

Senior Genomic Sales Specialist

Morrisville, NC

$107K - $161K/yr

Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional: Raleigh-Durham, NC, New York, NY, Atlanta, GA, Washington DC PacBio (NASDAQ: PACB) is a premier life ...

PacBio

Senior Genomics Sales Specialist

Marina, CA · On-site

$101K - $151K/yr

Senior Genomic Sales Specialist PacBio (NASDAQ: PACB) is a premier life science technology company that is designs, develops, and manufactures advanced sequencing solutions to help scientists and ...

PacBio

Senior Genomic Sales Specialist

Boston, MA

$107K - $161K/yr

Title: Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional: Raleigh-Durham, NC, New York, NY, Atlanta, GA, Washington DC PacBio (NASDAQ: PACB) is a premier life ...

PacBio

Senior Genomic Sales Specialist

Boston, MA · On-site

$107K - $161K/yr

Title: Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional: Raleigh-Durham, NC, New York, NY, Atlanta, GA, Washington DC PacBio (NASDAQ: PACB) is a premier life ...

PacBio

Senior Genomic Sales Specialist

Raleigh, NC

$107K - $161K/yr

Title: Sr. Genomic Sales Specialist Territory: East AMR Location: Boston, MA (primary) Additional: Raleigh-Durham, NC, New York, NY, Atlanta, GA, Washington DC PacBio (NASDAQ: PACB) is a premier life ...

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All JobsGenotyping Jobs

Genotyping information

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$13

$22

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How much do genotyping jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for genotyping in the United States is $22.61, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $24.04 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in genotyping laboratories, and how can they be addressed?

Professionals in genotyping labs often encounter challenges such as contamination of samples, maintaining high throughput under tight deadlines, and ensuring data accuracy. These issues can be managed by following strict laboratory protocols, using automated systems where possible, and consistently verifying results through quality control measures. Team collaboration is essential, as genotyping projects typically involve coordination with bioinformaticians and researchers to interpret results and troubleshoot technical issues, fostering a dynamic and supportive work environment.

What are the key skills and qualifications needed to thrive as a Genotyping Specialist, and why are they important?

To thrive as a Genotyping Specialist, you need a solid background in molecular biology, genetics, and laboratory techniques, often supported by a degree in a life science field. Familiarity with PCR, DNA sequencing platforms, genotyping arrays, and relevant laboratory information management systems (LIMS) is typically required. Attention to detail, problem-solving abilities, and strong organizational skills are valuable soft skills in this role. These competencies ensure accurate genetic analysis, reliable data management, and efficient workflow in research or clinical laboratory settings.

What is the difference between Genotyping vs Genetic Testing?

AspectGenotypingGenetic Testing
PurposeIdentifies specific genetic variants or alleles in an individualDetects genetic mutations, disorders, or predispositions
MethodsDNA analysis techniques like PCR, SNP analysisSequencing, karyotyping, molecular diagnostics
Work EnvironmentLaboratories, research facilities, biotech companiesMedical labs, hospitals, research institutions
CredentialsBiotech, molecular biology, genetics certificationsMedical licenses, genetic counseling certifications

Genotyping focuses on identifying specific genetic variants, often for research or personalized medicine, while genetic testing detects broader genetic conditions or risks. Both roles require expertise in molecular biology techniques but serve different diagnostic and research purposes.

What is genotyping?

Genotyping is the process of determining the genetic makeup of an individual by examining their DNA sequence. This technique identifies differences in the genetic code, such as single nucleotide polymorphisms (SNPs) or genetic mutations, which can help in researching genetic diseases, ancestry, and traits. Genotyping is widely used in fields like medicine, agriculture, and biological research to study genetic variation and its impact on health and development.
More about Genotyping jobs
What states have the most Genotyping jobs? States with the most job openings for Genotyping jobs include:
What job categories do people searching Genotyping jobs look for? The top searched job categories for Genotyping jobs are:
Genotyping jobs near you
Infographic showing various Genotyping job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $47,039 per year, or $22.6 per hour.

Scientist, Genomics

Retro

Redwood City, CA

$43.25 - $54.25/hr

Full-time

Posted 27 days ago

Job description

Retro develops therapies for diseases driven by the biology of aging. We focus on cellular reprogramming and autophagy to rejuvenate cell and tissue function with the ultimate aim of adding 10 years to healthy human lifespan.
 
We're building a mission-driven team of accomplished and kind individuals who embrace our startup culture of rapid iteration, transparency, and versatility.
 
We are hiring a high-agency scientist to build genomics platforms that drive the discovery of therapies that rejuvenate cells and tissues. You'll own sequencing workflows end-to-end, working closely with automation and computational scientists to scale what you build and generate the data that enables our frontier models.
 
About you:
 
You want to drive the experimental direction for a research program, not wait to be handed a plan. You're happiest at the bench, building assays, troubleshooting failures, and generating data. You don't just run protocols; you take them apart and make them work for new contexts. You're excited to collaborate with computational scientists and automation engineers, but your core identity is as an experimentalist. You want to work on something ambitious enough that it might not work, and you can't think of anything more worth trying than extending healthy human lifespan.
 
In this role, you will:
  • Design, execute, and optimize diverse genomics experiments (RNA-seq, ATAC-seq, single-cell assays), owning the full process from sample preparation through library construction, sequencing, and QC.
  • Build custom genomics platforms that give us the readouts we need when off-the-shelf methods fall short.
  • Culture and treat cells for screening campaigns, running functional assays alongside genomic readouts to validate hits.
  • Partner with automation engineers to transfer genomics protocols to automated platforms, enabling systematic discovery at scale.
  • Collaborate with computational scientists to generate the data that trains predictive models and guides the next round of experiments.
You might thrive in this role if you:
  • Have a Ph.D. in Biology, Genomics, or a related discipline (anyone with an exceptional track record of building genomics technologies welcome).
  • Have deep experience with NGS library prep, sequencing, and QC.
  • Have experience with cell culture and molecular characterization techniques.
  • Have worked with single-cell technologies (10x Genomics or similar).
  • Have experience with epigenomics assays (ATAC-seq, CUT&Tag, or methylation profiling).
  • Have worked with reprogramming or differentiation systems.
  • Have a track record of adapting protocols from literature and making them work in new contexts.
  • Are a generalist who learns quickly and has a track record of mastering diverse scientific techniques.
  • Are comfortable with ambiguity, move fast, and can drive projects forward independently.
It's a bonus if you:
  • Have developed novel assays or measurement technologies.
  • Have worked with high-throughput screening or transferred manual protocols to automated platforms.
  • Have computational skills (Python, R) for basic data QC and visualization.
  • Have a history of working with cross-disciplinary teams (computational, automation, engineering).
At Retro, we don't use titles. New hires join as a "Member of X Team".
 
Total compensation also includes generous equity and benefits including:
 
- Medical, dental, and vision insurance for you and your family
- 401(k) plan with 4% matching
- Flexible time off and 10 company holidays per year
- Paid parental leave
- Annual learning & development stipend
- Monthly Longevity stipend
- Daily Retro-sponsored lunch and snacks
 
We take pride in cultivating an environment that fosters collaboration, open communication, and authenticity. We believe that great results are best delivered by a highly creative team working in concert. We are an equal opportunity employer; we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are diverse in background and singular in mission.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.