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Genomic Analyst Jobs (NOW HIRING)

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 ...

Senior Genomic Sales Specialist

Boston, MA · On-site

$107K - $161K/yr

Knowledge in applicable genomics related bioinformatics tools and data analysis. Candidates must have current authorization to work in the United States without the need for present or future ...

Senior Genomic Sales Specialist

Raleigh, NC · On-site

$107K - $161K/yr

Knowledge in applicable genomics related bioinformatics tools and data analysis. Candidates must have current authorization to work in the United States without the need for present or future ...

Senior Genomic Sales Specialist

Boston, MA · On-site

$107K - $161K/yr

Knowledge in applicable genomics related bioinformatics tools and data analysis. Candidates must have current authorization to work in the United States without the need for present or future ...

Be Seen First

Analyze existing laboratory and epidemiology technology stacks to identify operational gaps. * Architect a strategic roadmap for genomic technology adoption and system scaling. * Develop a phased ...

The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and data analysis, focusing on identifying novel AI solutions, training and fine-tuning GenAI models ...

Be Seen First

Analyze existing laboratory and epidemiology technology stacks to identify operational gaps. * Architect a strategic roadmap for genomic technology adoption and system scaling. * Develop a phased ...

$110K - $114K/yr

Compensation: $110,000-$114,000 annually Clinical Genomics Scientist II - Remote US: Experienced ... analysis Thorough and ongoing knowledge of current theories and principles of human genetics ...

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Genomic Analyst information

What is the difference between Genomic Analyst vs Bioinformatics Technician?

AspectGenomic AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Genetics, Biology, or related field; experience with genomic data analysisAssociate's or Bachelor's in Bioinformatics, Computer Science, or related field; basic data analysis skills
Work EnvironmentLaboratories, research institutions, biotech companiesComputing labs, research facilities, biotech firms
Employer & Industry UsageResearch labs, healthcare, biotech industryResearch institutions, biotech companies, hospitals
Common Search & Comparison IntentUnderstanding roles in genomic data analysisEntry-level bioinformatics roles in genomics

The Genomic Analyst typically has advanced education and handles complex data interpretation, while the Bioinformatics Technician often supports data processing and basic analysis. Both roles are vital in genomics research but differ in responsibilities and experience requirements.

Does genomics pay well?

Genomic analysts typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start around $50,000 annually, while experienced professionals with specialized skills or certifications can earn over $100,000 per year. The field offers strong growth potential due to increasing demand for genomic research and precision medicine expertise.

How to become a genome analyst?

To become a genomic analyst, typically a bachelor's degree in genetics, biology, bioinformatics, or a related field is required, often followed by a master's or Ph.D. for advanced roles. Skills in data analysis, programming languages like Python or R, and experience with genomic databases and tools are essential; certifications in bioinformatics can also enhance job prospects.

What are the key skills and qualifications needed to thrive as a Genomic Analyst, and why are they important?

To thrive as a Genomic Analyst, you need a solid background in genetics, bioinformatics, and data analysis, often supported by a degree in biology, genomics, or a related field. Familiarity with next-generation sequencing (NGS) platforms, genomic databases, and tools like Python, R, and specialized software such as GATK or IGV is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with interdisciplinary teams. These abilities are vital for ensuring accurate genomic data interpretation, driving research, and supporting clinical decision-making.

What is the highest paying job in genetics?

The highest paying jobs in genetics often include roles such as genetic counselors, research directors, or senior genomic analysts, especially in biotech or pharmaceutical companies. These positions typically require advanced degrees, specialized skills, and experience, with salaries reaching six figures or more depending on the industry and location.

What are some common challenges Genomic Analysts face when interpreting large-scale sequencing data?

Genomic Analysts often encounter challenges related to managing and interpreting massive datasets generated by next-generation sequencing technologies. Ensuring data quality, distinguishing meaningful genetic variants from background noise, and integrating information from multiple data sources require strong analytical and computational skills. Collaborating closely with bioinformaticians, laboratory scientists, and clinicians is essential to validate findings and translate them into actionable insights. Staying current with evolving tools and best practices is also key to overcoming these challenges.

What is a Genomic Analyst?

A Genomic Analyst is a professional who specializes in analyzing and interpreting genomic data to understand genetic variations and their impact on health, disease, or traits. They use advanced bioinformatics tools and techniques to process DNA, RNA, and other molecular data, often working in research, clinical, or pharmaceutical settings. Genomic Analysts collaborate with scientists, clinicians, and other healthcare professionals to provide insights that can inform patient care, drug development, or further research. Their work is essential for advancing personalized medicine and understanding the genetic basis of diseases.

What does a genomic analyst do?

A genomic analyst studies genetic data to identify variations and interpret their significance for research or clinical purposes. They analyze DNA sequences using bioinformatics tools, often working with large datasets and requiring knowledge of genetics, programming, and laboratory techniques.
More about Genomic Analyst jobs
What cities are hiring for Genomic Analyst jobs? Cities with the most Genomic Analyst job openings:
What states have the most Genomic Analyst jobs? States with the most job openings for Genomic Analyst jobs include:
Infographic showing various Genomic Analyst job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution.
Research Assistant Professor-Genomic Sequencing Data Analysis

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

On-site

Full-time

Posted 23 days ago


Key responsibilities

  • Perform computational analysis of next-generation sequencing data including 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.

  • Collaborate with wet-lab scientists to integrate genomic data with experimental results.


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