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Temporary Variant Scientist Jobs (NOW HIRING)

Tuskegee University

Develop and implement bioinformatics pipelines for variant calling, structural variant detection ... Collaborate with wet-lab scientists to integrate genomic data with experimental results.

Cincinnati Children's

Bioinformatics Analyst

Burnet, TX · On-site

$61K - $78K/yr

... Employee Status Temporary (Fixed Term) *Expected Starting Pay Range $61,401.60 - $78,291.20 ... Works in collaboration with both technology and scientific teams. * Requirements Gathering ...

AllSTEM Connections

Technical Product Manager II

Orlando, FL · On-site

$124K - $139K/yr

Bachelor's degree in Marketing, Business, Computer Science, Engineering, or a related technical ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

All Jobstmp JobsTemporary Variant Scientist Jobs

Temporary Variant Scientist information

What is the difference between Temporary Variant Scientist vs Temporary Quality Control Analyst?

AspectTemporary Variant ScientistTemporary Quality Control Analyst
Required CredentialsBachelor's or Master's in Life Sciences, relevant certificationsBachelor's in Life Sciences or related field, certifications may be preferred
Work EnvironmentLaboratories, R&D settings, pharmaceutical or biotech companiesLaboratories, manufacturing facilities, quality assurance departments
Employer & Industry UsagePharmaceutical, biotech, and research organizationsManufacturing, pharmaceutical, and biotech industries
Common Search & ComparisonYesYes

The Temporary Variant Scientist and Temporary Quality Control Analyst roles both operate within laboratory and industry settings, often in pharmaceutical or biotech companies. The Variant Scientist focuses on analyzing genetic or product variants during research and development, requiring specialized scientific knowledge. In contrast, the Quality Control Analyst primarily ensures product quality through testing and compliance. While their credentials and work environments overlap, their core responsibilities differ, making each role distinct in the industry.

How much do Temporary Variant Scientists make?

Temporary Variant Scientists typically earn between $25 and $50 per hour, depending on experience, location, and the complexity of the projects. They often work in laboratory or research settings, requiring knowledge of genetic analysis and laboratory techniques.

How to become a temporary variant scientist?

To become a temporary variant scientist, typically a bachelor's degree in biology, chemistry, or a related field is required, along with experience in laboratory research and data analysis. Strong knowledge of virology, genetics, or microbiology, along with proficiency in scientific tools and techniques, is essential; some roles may require advanced degrees or certifications. Flexibility and the ability to work in fast-paced environments are also important for temporary positions.
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The most popular types of Variant Scientist jobs are:

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Temporary Variant Scientist jobs near you
Infographic showing various Temporary Variant Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

On-site

Full-time

Re-posted 19 days ago

Job description

Position Details
To create a Posting, first complete the information on this screen, then click the Next button or select the page in the left hand navigation menu. Proceed through all sections completing all necessary information. To submit the Posting to Human Resources, you must go to the Posting Summary Page by clicking on the Next button until you reach the Posting Summary Page or select Posting Summary Page from the left navigation menu. Once a summary page appears, hover your mouse over the orange Action button for a list of possible approval step options.
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

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