Bioinformatics Specialist

Stowers Institute for Medical Research; Kansas City (MO); Hybrid; USD 75,000 - 120,000; Full time

Job summary

The Stowers Institute has an opening for a Bioinformatics Specialist to assist the Computational Biology core facility with biological data processing and analysis. The Bioinformatics Specialist will use computational tools to process, transform, visualize, and analyze datasets primarily derived from high-throughput sequencing experiments.

This is primarily an on-site position, with some flexibility for occasionally working from home.

Qualifications

• Masters degree in Bioinformatics, Computational Biology, or a related computationally oriented discipline.
• Demonstrated experience in NGS data analysis, including quality control, alignment, and downstream interpretation.
• Experience working in a Unix/Linux environment.
• Interest in exploring and using generative AI.
• Basic understanding of and interest in Biology.

Responsibilities

• Use R and Python to analyze and visualize high-throughput next-generation sequencing (NGS) data, from raw reads through downstream interpretation.
• Create analysis reports to organize results and share them with collaborators.
• Follow group best practices to maintain reproducibility and organize results.

Skills

R programming

Python

NGS data analysis

Unix/Linux

Data visualization

Reproducible workflows

Education

Master's degree in Bioinformatics or related

Tools

Bioconductor

Shiny

Slurm

Git

Job description

The Stowers Institute has an opening for a Bioinformatics Specialist to assist the Computational Biology core facility with biological data processing and analysis. The Bioinformatics Specialist will use computational tools to process, transform, visualize, and analyze datasets primarily derived from high-throughput sequencing experiments. We are seeking an intellectually curious and motivated individual who will thrive in a collaborative, biology-driven team environment.

This is primarily an on-site position, with some flexibility for occasionally working from home. We value in-person collaboration but also support work-life balance.

Key Responsibilities:

• Use R and Python to analyze and visualize high-throughput next-generation sequencing (NGS) data, from raw reads through downstream interpretation
• Create analysis reports to organize results and share them with collaborators
• Follow group best practices to maintain reproducibility and organize results
• Masters degree in Bioinformatics, Computational Biology, or a related computationally oriented discipline
• Demonstrated experience in NGS data analysis, including quality control, alignment, and downstream interpretation.
• Experience working in a Unix/Linux environment
• Interest in exploring and using generative AI
• Basic understanding of and interest in Biology

Preferred skills:

• Experience with a range of NGS applications (e.g., (sc)RNA-seq, ATAC-seq)
• Experience with Bioconductor packages and Shiny
• Experience with Python
• Experience with cluster computing ( Especially slurm)

The ideal candidate will have strong problem-solving abilities, excellent communication and organization skills, good attention to detail, biological interest and curiosity, and the ability to manage multiple projects effectively.