Bioinformatician – Omics Data Analysis

Job Description

Biostatistician – Urology | Mayo Clinic

The Tone:
This is a full-time role at Mayo Clinic, a leading healthcare institution renowned for its clinical practice, education, and research. This position is focused on applying specialized bioinformatics and statistical expertise within urology research and clinical genomics studies. The role is critical for driving forward discovery and understanding in complex biological data, directly contributing to advancements in patient care and scientific knowledge.

The TL;DR
• Role: Full Time
• Type: Full-time

• Team: Reports to a Senior Bioinformatician or Principal Bioinformatician.
• Mission: To apply bioinformatics expertise to design, analyze, interpret, and report on research and clinical genomics studies.
• Tech Stack: Bioinformatics and computational biology tools, programming languages for novel analytical tools, informatics computing and data management packages, omics technologies (genomics, proteomics, metabolomics).

What You’ll Actually Do
• Collaborate: Apply bioinformatics expertise to the design, implementation, analysis, interpretation, and reporting of research and clinical genomics studies.
• Analyze Data: Utilize bioinformatics and computational biology tools and techniques to analyze genomics, proteomics, and metabolomics data (omics technologies).
• Develop Tools: Employ programming skills to develop novel analytical tools as needed by specific projects.
• Manage Data & Statistics: Handle regulatory, compliance, and programmatic data for clinical trials, perform sample size calculations and power balance, and run statistical analysis for departmental manuscripts.
• Document & Track: Maintain detailed project documentation to enable smooth handoff to other bioinformatics staff members and accurately track time spent on projects.

The Must-Haves
• Background: Master’s degree in bioinformatics or a similar field with an emphasis on analytical omics expertise.
• Experience: Expertise in the use of informatics computing and data management packages, with demonstrated success in project management.
• Skills: Strong programming skills for developing novel analytical tools; proficiency in various bioinformatics and computational biology tools and techniques for omics data analysis; excellent written and oral communication skills; ability to prioritize, organize, and delegate tasks effectively.
• Bonus: Basic knowledge of statistical methodology; demonstrated initiative in administration, education (seminars, training), software development, or technical reports.