Bioinformatics Specialist

The Stowers Institute for Medical Research; Kansas City (MO); Hybrid; USD 90,000 - 130,000; Full time

Job summary

The Stowers Institute for Medical Research is seeking a Bioinformatics Specialist to support the Computational Biology core in processing and analyzing datasets from high-throughput sequencing experiments. The role emphasizes reproducible workflows and collaboration to drive biological insights.

Responsibilities include analyzing and visualizing NGS data with R and Python, creating analysis reports, and maintaining organized results.

Qualifications

• Masters degree in Bioinformatics, Computational Biology, or related computationally oriented discipline.
• Demonstrated experience in NGS data analysis, including QC, alignment, and interpretation.
• Experience in a Unix/Linux environment and strong programming skills in R/Python.
• Interest in exploring and applying generative AI in data analysis.

Responsibilities

• Use R and Python to analyze and visualize high-throughput NGS data from reads to interpretation.
• Create analysis reports to share results with collaborators.
• Follow group best practices to maintain reproducibility and organize results.

Skills

R

Python

Unix/Linux

NGS data analysis

Collaborative work

Education

Masters degree in Bioinformatics, Computational Biology, or related computationally oriented discipline

Tools

Bioconductor

Shiny

Python

Slurm

Job description

Bioinformatics Specialist - REQID0002622

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.