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Bioinformatics Research Assistant Jobs in Alabama

Tuskegee University

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

UAB NOVA RENT

RESEARCHER ASSISTANT

Birmingham, AL · On-site

$16.50/hr

This role involves performing standard research tasks, including sample processing, basic data ... and basic bioinformatics. * Preferred soft skills: good organizational ability, effective ...

UAB NOVA RENT

Bioinformatician I (Temp)

Birmingham, AL · On-site

... bioinformatics staff in the assigned department. Research focuses on the genetic foundations of ... Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX ...

UAB NOVA RENT

BIOSTATISTICIAN LEAD

Birmingham, AL · On-site

$73K - $120K/yr

... Translational Research Program. This position serves as the primary statistical leader. The ... Biostatistics, Statistics, Epidemiology, Computational Biology, Bioinformatics, Mathematics, or ...

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Bioinformatics Research Assistant information

What does a bioinformatics research assistant do?

A Bioinformatics Research Assistant supports scientific research by applying computational tools and techniques to analyze biological data, such as DNA, RNA, or protein sequences. Their work often involves managing large datasets, running bioinformatics software, and helping interpret results to draw meaningful biological conclusions. They collaborate with researchers, assist in experiment design, and may contribute to scientific publications. This role requires a blend of biology knowledge and programming skills, often using languages like Python or R.

What are some common challenges faced by bioinformatics research assistants, and how can they be addressed?

Bioinformatics Research Assistants often encounter challenges such as managing large datasets, staying current with rapidly evolving software tools, and effectively communicating complex findings to interdisciplinary teams. To address these challenges, it's important to develop strong organizational skills, maintain flexibility to learn new technologies, and collaborate closely with both computational and biological researchers. Regularly attending team meetings and seeking mentorship from senior staff can also help navigate technical and communication hurdles.

What are the key skills and qualifications needed to thrive as a bioinformatics research assistant, and why are they important?

To thrive as a Bioinformatics Research Assistant, you need a solid background in biology, statistics, and computer science, usually supported by a relevant degree. Familiarity with programming languages such as Python or R, as well as experience with bioinformatics tools and databases like BLAST or NCBI, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These skills are crucial for producing accurate scientific analyses, supporting research goals, and advancing discoveries in life sciences.

What are the most commonly searched types of Bioinformatics Research jobs in Alabama?

The most popular types of Bioinformatics Research jobs in Alabama are:

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

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

What job categories do people searching Bioinformatics Research Assistant jobs in Alabama look for?

The top searched job categories for Bioinformatics Research Assistant jobs in Alabama are:

What cities in Alabama are hiring for Bioinformatics Research Assistant jobs?

Cities in Alabama with the most Bioinformatics Research Assistant job openings:

Bioinformatics Research Assistant jobs near you

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

Tuskegee, AL • On-site

$110 - $150/hr

Other

Re-posted 28 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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