App Programmer/Analyst Ld

Updated: about 2 months ago
Location: Ann Arbor, MICHIGAN

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Summary

The Judith Tam ALK Lung Cancer Research Initiative is a new initiative in the Rogel Cancer Center focused on accelerating progress in discoveries related to the pathogenesis, progression, treatment, and prevention of ALK driven lung cancers. The overarching purpose of this initiative is to foster rapid adoption of key discoveries that directly enhance the quality and length of the life of patients. 

In this position, you will join a multidisciplinary team focused on researching ALK+ lung cancers of patients presenting at the UMich and partnering institutions. You will have a key leadership role in the Bioinformatics team, working with research groups within the initiative to apply biology, bioinformatics, and software development skills to understanding the mechanisms and treatment of this cancer. You will manage multifaceted genomic and proteomic datasets generated in the overall research effort as well as mine relevant published data from public resources.


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*
  • Help lead the technical development of informatics platforms and workflows for analyzing complex genomic/proteomic datasets in the context of ALK+ cancer detection and progression
  • Combine large public and internally-generated multi-omic clinical biomarker and drug screening datasets for integrative analysis 
  • Review relevant literature in bioinformatics, cancer biology and molecular diagnostics and help assess and implement current best-practice methodologies into the overall group computational platform
  • Collaborate deeply with PIs, researchers, postdocs and students to understand research goals, help implement computational solutions, and communicate methods and results
  • Lead and mentor a team of junior informaticians and software developers in critical decision making and project management

Required Qualifications*
  • PhD or MS in a STEM field 
  • 7 to 10 years of increasingly complex business programming experience in a business environment 
  • Fluency in at least one of Python, R, Java, C++, JavaScript or Groovy programming 
  • In-depth experience with NGS analysis pipelines, algorithms, and workflows, and in analysis and interpretation of high-throughput molecular phenotyping data such as bulk DNA- and RNA-Seq and single-cell analysis 
  • Experience with statistical and machine learning methodologies as applied to biological datasets: drug response prediction, outcome classification, etc. 
  • Experience working in HPC and cloud computing environments

Desired Qualifications*
  • Experience building computational workflows with frameworks like nf-co.re NextFlow, SnakeMake, WDL/Cromwell 
  • Experience building web-based applications and services using standard software development tools or frameworks: relational databases, Spring, MongoDB, Javascript, libraries and frameworks like React, Dash, Django, Flask, Streamlit 
  • Experience with container-based management (Docker, Singularity), and Git/GitHub 
  • Experience with large, public, cancer-related datasets such as TCGA and CCLE, and online platforms and databases such as cBioPortal, UniProt, COSMIC, and ClinVar 
  • Solid track record of research in cancer, biomedical, or related areas as demonstrated by publications

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/AA Statement

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



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