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How to Apply

Please email cover letter and CV to:

Jenny Hasija
Administrative Specialist
Department of Urology

Job Summary

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 overarching goal is to advance how we practice precision medicine.

The successful candidate should possess strong interpersonal and communication skills. Salary and job title will be commensurate with qualifications and experience.

Required Qualifications*Ph.D. degree in cancer biology, molecular biology, bioinformatics, human genetics, or a related field with appropriate experience in cancer research.
 Experience in organoids development, next generation sequencing (NGS)-based, single cell, and/or spatial data experiments and analysis.

3 - 5 years of work experience preferred but not required. Post-doctoral fellowship candidates are invited to apply.

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.Desired Qualifications*Working knowledge of laboratory techniques in molecular biology, cell biology, biochemistry, and genetics.Experience working with various model systems: 2D, 3D (e.g. organoids), animal models etc.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.Expertise in one or more of Python, Perl, R, Java, or Javascript as demonstrated by the ability to develop high-quality scientific programsExperience 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.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.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.