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Scisco Genetics

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Bioinformatics Scientist / Genomic Data Analyst

Seattle, WA · On-site

$95K - $115K/yr

Analyze high-throughput genomic sequence data, including whole-genome sequencing, whole-exome ... Collaborate with scientists, clinicians, computational biologists, immunologists, and other ...

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Baylor Genetics

Lead Bioinformatics AI Scientist

... Data Science or related quantitative field. * Experience: * 8+ years of professional experience in bioinformatics, AI application development, machine learning and/or genomic data analysis, including ...

Biohub

Staff Data Scientist, Genomics

Redwood City, CA · On-site

... genomic data systems that power next-generation biological models and accelerate human health ... Serve as a technical mentor and leader, raising the bar for data science and ML rigor across the ...

Biohub

Staff Data Scientist, Genomics

Redwood City, CA · On-site

... science at unprecedented scale, and translating these advances into practical tools that empower ... genomic data systems that power next-generation biological models and accelerate human health ...

Biohub

Staff Data Scientist, Genomics

Redwood City, CA · On-site +1

... genomic data systems that power next-generation biological models and accelerate human health ... Serve as a technical mentor and leader, raising the bar for data science and ML rigor across the ...

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How much do genomic data science jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for genomic data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

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

To excel as a Genomic Data Scientist, you need a strong background in bioinformatics, genetics, and statistical analysis, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools like Python, R, next-generation sequencing (NGS) platforms, and databases such as Ensembl is crucial, as is experience with cloud computing or high-performance computing environments. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are vital soft skills in this role. These competencies enable accurate data interpretation, effective collaboration, and innovative research that advances our understanding of genomics.

How does a Genomic Data Scientist typically collaborate with multidisciplinary teams in research or healthcare settings?

Genomic Data Scientists often work closely with biologists, clinicians, statisticians, and software engineers to interpret complex genomic datasets. Collaboration usually involves translating biological questions into analytical tasks, developing and applying computational pipelines, and communicating findings in accessible terms. Regular meetings, shared project management tools, and cross-disciplinary workshops are common, fostering an environment where diverse expertise is integrated to advance research or clinical objectives. This collaborative approach not only enhances the quality of insights but also provides opportunities for professional growth and learning from adjacent fields.

What is genomic data science?

Genomic data science is an interdisciplinary field that focuses on analyzing and interpreting vast amounts of genetic and genomic data using computational and statistical methods. Professionals in this field use bioinformatics tools, machine learning, and data analysis techniques to uncover insights about genes, diseases, evolution, and biological processes. Genomic data scientists often work with large datasets from next-generation sequencing and collaborate with biologists, clinicians, and researchers to advance our understanding of genetics and its applications in medicine and research.

What is the difference between Genomic Data Science vs Bioinformatics?

AspectGenomic Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Bioinformatics, or related fields; programming skillsDegree in Bioinformatics, Biology, or related fields; computational skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large genomic datasets, developing algorithmsSequence analysis, genome annotation, biological data interpretation
Common Search IntentData analysis in genomics, computational methods for geneticsGenomic sequence analysis, biological data processing

While both roles involve working with genomic data, Genomic Data Science focuses on applying data science techniques, machine learning, and statistical analysis to large genomic datasets. Bioinformatics emphasizes biological sequence analysis, genome annotation, and biological interpretation. Both fields often overlap but differ mainly in their core focus: data science methods versus biological data analysis.

More about Genomic Data Science jobs
What cities are hiring for Genomic Data Science jobs? Cities with the most Genomic Data Science job openings:
What states have the most Genomic Data Science jobs? States with the most job openings for Genomic Data Science jobs include:
What job categories do people searching Genomic Data Science jobs look for? The top searched job categories for Genomic Data Science jobs are:
Genomic Data Science jobs near you
Infographic showing various Genomic Data Science job openings in the United States as of May 2026, with employment types broken down into 100% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Postdoctoral Fellow, Population Genetics/Genomic Data Science

Postdoctoral Fellow, Population Genetics/Genomic Data Science

Ancestry

Remote

$50.20K - $68.10K/yr

Full-time

Posted 10 days ago

Job description

About Ancestry:
When you join Ancestry, you join a human-centered company where every person's story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we've built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families.
We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.
Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.
Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people's lives? Join the curious.
We are looking for candidates with strong experience in genomic data analysis and enthusiasm in human populations and/or family history. Through regular mentorship from our scientists, you will gain valuable research experience for the next step in your career. You will have the opportunity to apply cutting edge computational and statistical approaches to the largest database of human genome and pedigree data in the world. You will develop methods to help millions of people understand their ancestry, their family, and themselves. Help us make an impact in this exciting field!
Join the DNA Science team as a Postdoctoral Fellow and conduct innovative research on the world's largest genomic and pedigree database to further our knowledge on human populations and family history.
What you will do:
  • You will analyze Ancestry's massive-scale genomic datasets to uncover deep insights into population structure, demographic history, and fine-scale genetic relationship inference.
  • You will develop novel statistical models and computational methods, leveraging advanced Machine Learning and Deep Learning to solve complex genomic challenges.
  • You will conduct exploratory research while maintaining a focus on demonstrating progress, identifying clear next steps, and moving toward concrete milestones.
  • You will aim to publish original research in high-impact scientific journals and present your findings at top-tier conferences.
  • While your primary focus is research, you will have the chance to collaborate with other scientists to explore opportunities to integrate your research outcomes into the Ancestry DNA product ecosystem to benefit millions of customers.

Who you are:
  • Ph.D. in Population Genetics, or Genomic Data Science, or Machine Learning (with experience applying it to genomic data).
  • Demonstrated expertise in applying and developing sophisticated computational methods. Experience with modern AI methods is a plus.
  • High proficiency in Python, C, or any other language that supports efficient, large-scale data analysis and machine learning.
  • A mindset for critical thinking and innovation, with a demonstrated ability to show results and progress while in an exploratory mode.
  • Strong communication skills to present complex genomics and statistical concepts to both technical and non-technical audiences.

Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law. For candidates who live in San Francisco, CA, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

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