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Genomic Data Science Jobs (NOW HIRING)

The Harvard Medical School Department of Biomedical Informatics seeks a skilled Genomic Data ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Data Science, or a related ...

The Harvard Medical School Department of Biomedical Informatics seeks a skilled Genomic Data ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Data Science, or a related ...

$194K - $305K/yr

Experience with genomic datasets across cancer types and therapeutic modalities with proven ... Science, Genomic Data Analysis, Machine Learning (ML), Multimodal, Multimodal Analysis ...

S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.Proven experience handling genomic data (Next-Generation Sequencing/NGS data analysis is ...

... 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 ...

... 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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Genomic Data Science information

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How much do genomic data science jobs pay per hour?

As of Jul 22, 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.

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 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.

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:
Infographic showing various Genomic Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Pulmonary Team Scientist: Computational Science

Pulmonary Team Scientist: Computational Science

Northwestern University

Chicago, IL • On-site

Full-time

Posted 17 days ago


Job description

Job Summary:
Northwestern University Feinberg School of Medicine is seeking a full-time, non-tenure-track Team Scientist in the Division of Pulmonary and Critical Care. The role focuses on developing a data science program that utilizes machine-learning tools to integrate clinical and genomic data.
Responsibilities:
• developing a program of data science focused on the use of machine-learning tools to integrate clinical and genomic data.
Qualifications:
Required:
• Evidence of published expertise in the field of data science with a focus on genomic and clinical information science.
Company:
Northwestern University is a private research and teaching university that offers academic programs across various fields of study. It is a sub-organization of Northwestern Athletics. Founded in 1851, the company is headquartered in Evanston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.