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

The lab is seeking an energetic, self-driven, well-trained, and productive scientist to join a dynamic group and make a difference in the understanding of prostate and kidney cancer biology using a variety of molecular profiling platforms including next generation sequencing, single cell sequencing, spatial techniques, organoids development, and evolving novel platforms amongst others.

The successful candidate should be comfortable analyzing large data sets, have experience in software development, and possess strong interpersonal and communication skills. The ideal candidate will use their molecular biology and computational skills, as well as 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. Salary and job title will be commensurate with qualifications and experience.

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.

• Ph.D. degree in cancer biology, molecular biology, bioinformatics, human genetics, or a related field with appropriate experience in cancer research.
• Experience in next generation sequencing (NGS)-based, single cell, and/or spatial data experiments and analysis.
• 2 - 5 years of work experience preferred but not required. Post-doctoral fellowship candidates are invited to apply.
• Substantial expertise in one or more of Python, Perl, R, Java, or Javascript as demonstrated by the ability to develop high-quality scientific programs.
• The successful candidate must be well read, organized and able to multitask, fluent in written and spoken English, be an independent thinker and team player in a fast-paced environment.

• Working knowledge of laboratory techniques in molecular biology, cell biology, biochemistry, and genetics.
• Experience with standard bioinformatics software tools and packages for analyzing whole-exome, whole-genome, whole-transcriptome, or targeted DNA/RNA sequencing data e.g. GATK suite, Ion Torrent Suite platform, R/Bioconductor.
• Experience working with various model systems: 2D, 3D (e.g. organoids), animal models etc.
• Experience in development of dynamic and/or publication-quality data visualizations to synthesize sequencing-based analysis results e.g.,Rshiny, d3, plotly, ggplot2.
• 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 working on Unix/Linux systems (shell scripting, basic system administration).
• Experience in cloud computing (GCE or AWS).
• Experience in software design.
• Experience with Adobe Suite.
• A strong publication record.
• The successful candidate will be able to prioritize and balance multiple projects to meet timelines.

Rogel Cancer Center, Room 7131

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.

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.

The University of Michigan is an equal opportunity/affirmative action employer.