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Temporary Genomic Data Analyst Jobs (NOW HIRING)

Position Information Position Title Research Assistant Professor-Genomic Sequencing Data Analysis ... Date (if temporary) Open Date 04/07/2026 Close Date Open Until Filled No Special Instructions ...

Staff Business Analyst

Palo Alto, CA · On-site

$142.30 - $195.70/hr

Own requirements end‑to‑end for clinical and genomic data products, driving conversations with ... Impact Analysis: Assess the full downstream impact when a new assay, product, biomarker, or data ...

Staff Business Analyst

Palo Alto, CA · On-site

$72K - $96K/yr

Ensure clarity of needs and objectives specific to genomic data analytics and real-world clinical outcomes. * Product Partnership: Operate as part of the product and engineering team, owning the ...

Staff Business Analyst

Palo Alto, CA · On-site

$72K - $96K/yr

Ensure clarity of needs and objectives specific to genomic data analytics and real-world clinical outcomes. * Product Partnership: Operate as part of the product and engineering team, owning the ...

Analyze, summarize, and visualize the findings from large multi-modal clinico-genomic datasets ... Experience with analysis of genomic data originating from clinical trials. * Understanding of the ...

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Temporary Genomic Data Analyst information

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$34K

$82.6K

$136K

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

As of Sep 2, 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:

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

On-site

Full-time

Re-posted 29 days ago


Job description

Position Details
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Position Information
Position Title
Research Assistant Professor-Genomic Sequencing Data Analysis
Job Summary
We are seeking a highly skilled and motivated Research Assistant Professor with expertise in genomic sequencing data analysis to join our multidisciplinary research team. The successful candidate will lead computational and statistical analyses of large-scale genomic datasets, including whole-genome, whole-exome, and transcriptomic sequencing, to advance projects in cancer biology, precision medicine, and related biomedical fields. This position offers the opportunity to develop independent research while contributing to collaborative team science.
Essential Job Duties
  • Perform high-quality computational analysis of next-generation sequencing (NGS) data, including short and long-read whole-genome, whole-exome, RNA-seq, and spatial transcriptomics datasets.
  • Develop and implement bioinformatics pipelines for variant calling, structural variant detection, transcriptome profiling, and integrative multi-omics analyses.
  • Apply statistical and machine learning approaches to identify genomic alterations, biomarkers, and functional networks.
  • Collaborate with wet-lab scientists to integrate genomic data with experimental results.
  • Contribute to manuscript preparation, figure generation, and presentation of findings at scientific conferences.
  • Write and contribute to competitive grant applications, providing preliminary data and computational expertise.
  • Mentor graduate students, postdoctoral fellows, and research staff in computational genomics.
  • Maintain data management, quality control, and reproducibility standards in accordance with institutional and funding agency guidelines,

Preferred Qualifications
  • Ph.D. or equivalent degree, with postdoctoral training in bioinformatics, computational biology, genomics, computer science, statistics, or related field.
  • Demonstrated expertise in NGS data analysis, including quality control, alignment, variant calling, and downstream interpretation.
  • Proficiency with bioinformatics tools (e.g., GATK, samtools, bcftools, STAR, HISAT2, Cell Ranger, Seurat) and programming languages (e.g., Python, R, Bash).
  • Experience working with high-performance computing and cloud-based analysis platforms.
  • Experience with cancer genomics, single-cell and spatial transcriptomics, or epigenomic data analysis.

Physical Demands
FLSA
Exempt
Status
Full-Time
Skills and Attributes
  • Familiarity with database development, workflow management systems (e.g., Nextflow, Snakernake), and reproducible research practices (e.g., Docker, Git).
  • Strong track record of peer-reviewed publications in genomic data analysis.
  • Excellent problem-solving, organizational, and communication skills.
  • Ability to work effectively in multidisciplinary research teams.

Posting Detail Information
Posting Number
Will this position required travel?
yes
Will this position required night, weekend, and after hour work?
yes
Will this positon be supported using grants or contract funding?
yes
Number of Vacancies
1
Desired Start Date
Position End Date (if temporary)
Open Date
04/07/2026
Close Date
Open Until Filled
No
Special Instructions Summary
Each applicant, including all current employees, must complete and submit the following documents:
  • Tuskegee University employment application
  • Cover Letter
  • Resume/CV
  • Recommendation letters
  • Copies of unofficial transcripts.
  • Please note that official transcripts(s) will be required upon hire

Quick Link for Internal Postings
https://tuskegee.peopleadmin.com/postings/3659