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Temporary Genomic Data Analyst Jobs (NOW HIRING)

DATA ANALYST, SRS, COMPUTATIONAL BIOLOGIST, Computer Science and Artificial Intelligence Laboratory ... large-scale genomic and single-cell datasets to understand disease circuitry, predict new ...

Analyzes and interprets genomic data to identify genetic variants that may contribute to disease ... Strong analytical skills and ability to critically read and interpret data from scientific ...

Genomic data analysis using contemporary tools. * Genomic data wrangling from public sources. * Handling multiple diverse projects at the same time. Programming Proven expertise (1-2 years) in - 1. ...

Genomic data analysis using contemporary tools. * Genomic data wrangling from public sources. * Handling multiple diverse projects at the same time. Programming Proven expertise (1-2 years) in - 1. ...

... genomic testing solutions. Learn more at www.coopersurgical.com. This role is not eligible for ... We are looking for a Data Implementation Analyst to join CooperSurgical and help build Embryo ...

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Experience managing and integrating large biomedical or genomic datasets * Strong background in statistical analysis, data modeling, and computational methods * U.S. citizenship required; ability to ...

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$34K

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How much do temporary genomic data analyst jobs pay per year?

As of Jul 3, 2026, the average yearly pay for temporary genomic data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Genomic Data Analyst vs Genomic Data Scientist?

AspectTemporary Genomic Data AnalystGenomic Data Scientist
CredentialsBachelor's degree in biology, genetics, or related field; experience with genomic data toolsMaster's or PhD in bioinformatics, computational biology, or related field; advanced data analysis skills
Work EnvironmentContract-based, short-term projects in labs or biotech companiesLong-term research or industry roles, often involving complex data modeling
Employer & Industry UsageResearch labs, biotech firms, healthcare institutionsPharmaceutical companies, research institutions, biotech firms

The main difference is that a Temporary Genomic Data Analyst typically works on short-term projects with foundational data analysis skills, while a Genomic Data Scientist handles more complex modeling and long-term research tasks. The roles overlap in credentials and work environment but differ in scope and experience level.

What cities are hiring for Temporary Genomic Data Analyst jobs? Cities with the most Temporary Genomic Data Analyst job openings:
What are the most commonly searched types of Genomic Data Analyst jobs? The most popular types of Genomic Data Analyst jobs are:
What states have the most Temporary Genomic Data Analyst jobs? States with the most job openings for Temporary Genomic Data Analyst jobs include:
Postdoctoral Research Position in Statistical Genetics and Genomics

Postdoctoral Research Position in Statistical Genetics and Genomics

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Posted 11 days ago


Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

134th of 544 rated colleges and universities


Job description

Position
Details
Title
Postdoctoral Research Position in Statistical Genetics and Genomics
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
Postdoctoral Research Fellow position in statistical genetics and genomics is available at the Department of Biostatistics Harvard T. H. Chan School of Public Health. This position will be supervised by Dr. Xihong Lin (https://www.hsph.harvard.edu/lin-lab/), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods for analysis of large-scale whole genome genetic and genomic and phenotype data. Examples include large Whole Genome Sequencing association studies, biobanks, single-cell and CRISPR multiome data, integrative analysis of genetic and genomic data, causal mediation analysis and Mendelian Randomization, polygenic risk scores, and AI/transformer-powered analysis. We seek an individual with strong backgrounds in statistics, computing, machine learning (ML), and genetics and genomics, with a focus on large-scale genetic, genomic, and phenotype data. The work will involve both methodological research and collaboration with subject matter researchers and investigators in large NIH consortia.
Basic Qualifications
Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, computational biology, strong research background in statistics and ML, programming, data analysis, strong genetic and genomic knowledge, as well as good written and oral communication skills.
Additional Qualifications
Special Instructions
Please submit your cover letter, CV, research statement, and three recommendation letters alongside this application.
Contact Information
Daniel Cohen
Contact Email
dpcohen@hsph.harvard.edu
Salary Range
$75,000/year
Minimum Number of References Required
3
Maximum Number of References Allowed
4
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