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Bioinformatics Professor Jobs in Alabama (NOW HIRING)

Position Information Position Title Research Assistant Professor-Genomic Sequencing Data Analysis ... Develop and implement bioinformatics pipelines for variant calling, structural variant detection ...

Bioinformatics Professor information

See Alabama salary details

$38.5K

$72.6K

$122.4K

How much do bioinformatics professor jobs pay per year?

As of Aug 26, 2026, the average yearly pay for bioinformatics professor in Alabama is $72,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,400.00 and $82,900.00 per year, depending on experience, location, and employer.

What is a bioinformatics professor?

A Bioinformatics Professor is an academic professional who teaches and conducts research in the field of bioinformatics, which combines biology, computer science, and statistics to analyze biological data. They develop curricula, mentor students, publish research, and often secure funding for projects. These professors work at universities, research institutions, or medical schools, contributing to advancements in genomics, drug discovery, and computational biology.

What are the typical daily responsibilities of a bioinformatics professor?

A Bioinformatics Professor usually splits their time between teaching undergraduate or graduate courses, conducting and publishing research, and supervising student projects or theses. Daily tasks may include preparing lectures, developing curricula, analyzing complex biological data, writing grant proposals, and collaborating with research teams both within the university and with external partners. Professors also attend academic conferences, guide students in their academic and professional development, and stay up-to-date with the latest advancements in bioinformatics. This multifaceted role provides an intellectually stimulating work environment and opportunities to make lasting contributions to both science and education.

What are the key skills and qualifications needed to thrive as a bioinformatics professor?

To thrive as a Bioinformatics Professor, you typically need a Ph.D. in bioinformatics, computational biology, or a related field, along with experience in both research and teaching. Proficiency with programming languages (such as Python, R, or Perl), genomic databases, and data analysis platforms is essential, while additional certifications in education or advanced analysis are beneficial. Excellent communication, mentorship, and collaborative skills help foster a positive learning environment and facilitate interdisciplinary research. These skills and qualities are crucial for educating students effectively, advancing scientific inquiry, and contributing meaningfully to both academic and research communities.

What are popular job titles related to Bioinformatics Professor jobs in Alabama?

For Bioinformatics Professor jobs in Alabama, the most frequently searched job titles are:

What cities in Alabama are hiring for Bioinformatics Professor jobs?

Cities in Alabama with the most Bioinformatics Professor job openings:

Infographic showing various Bioinformatics Professor job openings in Alabama as of August 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Temporary. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $72,563 per year, or $34.9 per hour.

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee, AL • On-site

Tuskegee University
Colleges, Universities, and Professional Schools • 1 - 5K employees

$110 - $150/hr

Other

Re-posted 21 days ago


Job description

Research Assistant Professor-Genomic Sequencing Data Analysis

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.

  • 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

FLSA Exempt

Status

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.
Additional Employment Details

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

Vacancies

Number of Vacancies 1

Open Date

04/07/2026

Open Until Filled

No

Documents Needed to Apply

Required Documents

  • Resume
  • Cover Letter
  • Transcript 1
  • Letter of Recommendation 1
  • Letter of Recommendation 2
  • Letter of Recommendation 3
Optional Documents
  • Other
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