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Entry Level 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 ...

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. ...

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

$17.10 - $29.09/hr

This role focuses on working with large genomic datasets to analyze data from whole genome and exome sequencing, short- and long-read RNA sequencing, long-read genome sequencing, and epigenomics data.

Bioinformatics Analyst

Lincoln, NE · On-site

$61K - $78K/yr

Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging ... Data Analysis * Executes pipelines for curating, processing and analyzing biomedical data of ...

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Entry Level Genomic Data Analyst information

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How much do entry level genomic data analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for entry level genomic data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Genomic Data Analyst vs Bioinformatics Technician?

AspectEntry Level Genomic Data AnalystBioinformatics Technician
Required CredentialsBachelor's in Genetics, Biology, or related field; basic knowledge of bioinformatics toolsBachelor's in Bioinformatics, Computer Science, or related; familiarity with laboratory data
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, biotech firms
Employer & Industry UsagePharmaceuticals, biotech, academic researchResearch institutions, biotech companies, hospitals
Common Search & ComparisonYesYes

The main difference between an Entry Level Genomic Data Analyst and a Bioinformatics Technician lies in their focus. The analyst primarily interprets genomic data, performs statistical analysis, and supports research projects. The technician typically handles laboratory data management, sample processing, and technical support. Both roles require similar educational backgrounds but differ in daily tasks and focus areas within the genomics field.

How much do entry level genomic data analysts make?

Entry-level genomic data analysts typically earn between $50,000 and $70,000 annually, depending on location, education, and industry. Starting salaries may be lower in some regions, but proficiency with tools like R or Python and knowledge of genomics can lead to higher compensation over time.

How to become an entry level genomic data analyst?

To become an entry-level genomic data analyst, candidates typically need a bachelor's degree in biology, genetics, bioinformatics, or a related field. Developing skills in programming languages such as Python or R, understanding genomic databases, and gaining experience with data analysis tools are important. Internships or entry-level positions can provide practical experience and help build relevant skills for this role.
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Infographic showing various Entry Level Genomic Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Postdoctoral Research Position in Statistical Genetics and Genomics

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Re-posted 11 days ago


Harvard University rating

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Company rating: 8.5 out of 10

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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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