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What is the difference between Internship Computer Science Bioinformatics vs Internship Data Science?

AspectInternship Computer Science BioinformaticsInternship Data Science
Required CredentialsComputer Science or Bioinformatics coursework, programming skillsStatistics, programming, data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare settingsTech firms, finance, consulting, research institutions
Employer & Industry UsageBiotech, healthcare, academic researchTechnology, finance, marketing, consulting

Internship Computer Science Bioinformatics focuses on applying computer science skills to biological data, often in healthcare or research settings. In contrast, Internship Data Science emphasizes analyzing large datasets across various industries. Both internships require programming knowledge but differ in domain focus and industry application.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Missouri? The most popular types of Computer Science Bioinformatics jobs in Missouri are:
What cities in Missouri are hiring for Internship Computer Science Bioinformatics jobs? Cities in Missouri with the most Internship Computer Science Bioinformatics job openings:
Internship Computer Science Bioinformatics jobs near you
Bioinformatics Specialist (Infrastructure Focus)

Bioinformatics Specialist (Infrastructure Focus)

Stowers Institute

Kansas City, MO • On-site

Full-time

Posted 5 days ago

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. The primary focus of this position will be on developing and maintaining analysis infrastructure (pipelines, tools, and genome annotation resources) that support the institute's diverse research programs. There will also be an opportunity to work directly with researchers on collaborative data analysis projects.
Key Responsibilities:
  • Develop and maintain robust, scalable pipelines for multiple sequencing platforms (Illumina, PacBio, Oxford Nanopore, etc.)
  • Troubleshoot and manually process data for custom protocols or pipeline failures.
  • Collaborate with IT and high performance computing team to develop or optimize pipelines
  • Use R and Python for high-throughput genomic data analysis and visualization
  • Follow group best practices to maintain reproducibility and organize results

Minimum Requirements:
  • Undergraduate or Masters degree in Computer Science , Bioinformatics, Computational Biology, or a related computationally oriented discipline
  • Proficiency with one or more scripting languages (including Python)
  • Experience working in a Unix/Linux environment
  • Basic understanding and interest in Biology

Preferred Skills:
  • Experience with R, Bioconductor, Shiny, and Nextflow
  • Experience with cluster computing (Especially slurm)
  • Experience writing computational pipelines

The ideal candidate will have strong problem solving abilities, excellent communication and organization skills, good attention to detail, and the ability to manage multiple projects effectively. Software engineers and trained computer scientists with relevant skills and interest in biology are encouraged to apply.
Application Instructions: To apply, please submit the requested documents to careers@stowers.org or to Administration Department, Stowers Institute for Medical Research, 1000 E 50th Street, Kansas City, MO 64110.
Requested Documents
  • Current Resume
  • Cover Letter

Apply