Bioinfo-Comput Biologist Inter

How to Apply

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

• Excellent medical, dental and vision coverage effective on your very first day
• 2:1 Match on retirement savings

Responsibilities*

The Michigan Center for Translational Pathology (MCTP) is seeking a bioinformatician / computational biologist to support our cancer research program. This position will be centered on analyzing and interpreting advanced data analyses to interdisciplinary research and clinical research projects, including: carrying out statistical and bioinformatics analyses, implementing algorithms for genomic analyses, developing computational workflows, and building visualization tools. As part of a dynamic team, the position will develop and apply advanced computational techniques to learn about the underlying biology and to guide experimental work.

The successful candidate should be comfortable analyzing large data sets (demonstrated experience in the analysis of real-world datasets required), be able to have experience in software development, and possess strong interpersonal and communication skills. The ideal candidate will use their computational skills, biological knowledge, understanding of statistics, and creativity to help us understand complex genomic data sets. Proficiency in utilizing and integrating data from an array of public resources such as ENCODE, TCGA or COSMIC and ability to synthesize and present conclusions from complex analyses in a clear and visually compelling way will be paramount for this role.

Required Qualifications*

• Bachelor's degree in a recognized field of science or learning which is directly related to the duties of this position. Candidates with experience in bioinformatics strongly preferred.
• Demonstrated experience in the statistical / computational analysis of large and / or complex datasets (candidates not meeting this requirement will not be considered).
• Substantial expertise in one or more of Python, R, C/C , or Java as demonstrated by the ability to develop high-quality scientific programs.
• Practical knowledge of statistical techniques.
• Experienced in analysis of data from T-cell receptor sequencing, gene expression, whole genome sequencing, qPCR and survival experiments
• Experience in working on Unix/Linux systems (shell scripting, basic system administration)
• Ability to multi-task, prioritize efforts, and execute independently- and collaboratively-developed ideas in a fast-paced environment.

Desired Qualifications*

• PhD degree strongly preferred.
• Experience and/or familiarity with molecular cancer research.
• Experience with the analysis of data from high-throughput molecular profiling techniques such next-generation sequencing, microarray, or mass-spec.
• Experience with standard bioinformatics software tools and packages e.g. Bioconductor
• Fluency in understanding code written in multiple languages including C/C , Java, Python and R.
• Working knowledge of laboratory techniques in molecular biology, cell biology, biochemistry, and genetics.
• A solid understanding of statistics and experience in the implementation of machine learning and statistical inference algorithms.
• Experience building web applications, web services, and user interfaces using standard software development tools: relational databases, version control systems, front-end Javascript.
• Experience in cloud computing (GCE or AWS)
• A strong publication record.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Application Deadline

Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.

262776

Bioinfo-Comput Biologist Inter

Bioinfo-Comput Biologist Inter

Ann Arbor Campus

Onsite

Full-Time

Regular

Exempt

Medical School

MM Ctr fr Translational Path.

4/23/2025 - 5/07/2025

Research