"Applications Systems Analysis & Programming Manager"

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.

The Applications Systems Analysis & Programming Manager will support a highly interactive research team in the Center for Statistical Genetics (CSG) at the University of Michigan School of Public Health. The group is involved in cutting-edge genetics research, studying genetic variation in humans, with a focus on understanding how genetic variation contributes to the risk of complex disorders such as diabetes, heart disease, late-onset blindness and psychiatric illness. The group participates in all aspects of the processing and analysis of genetic data, ranging from the development of data processing scripts and pipelines to the development, distribution, and maintenance of free software for the analysis of genetic data. This is an opportunity to work in a challenging and rewarding research area that constantly poses new technical and computational problems.

We are analyzing some of the largest genetic datasets in the world, totaling petabytes of data and often requiring the deployment of 10,000s of cores in each analysis. This position will focus on the development and deployment of user-facing web applications that automate research analyses, as well as transitioning local processes and applications to secure cloud environments. You must have cloud computing experience and should also have experience with full-stack web application development. This position will report to the Principal Investigator.

• Supervises scientific programming in the group, notably overseeing the development and maintenance of scientific applications. These applications include critical tools under active development in the group, including genotype imputation server software and a genome-wide association server. (20%)
• Supervises and comments on association analyses of multi-omic data, including methylation, proteomics and RNAseq data. Ensures that summary results from this work are incorporated into scientific application developed by the group. (10%)
• Plans, conducts and coordinates the application of state-of-the-art information processing techniques to existing and future needs. Performs complex systems analysis and programming tasks requiring advanced techniques on the forefront of technology. Provides leadership in specific areas of IT responsibility. (20%)
• Provides analytical support in the conceptualization, development and implementation of interlinked systems and programs. Coordinates the interfaces between major systems and programs. This includes designing and implementing an optimal infrastructure, back-end and front-end layers for new software for genetic data analysis and visualization, which would satisfy all efficiency, security and reliability requirements. Provides technical advice and consultation on complex analysis and programming applications. (15%)
• Designs genetic analyses and data processing pipelines and tailors visualization for large scale genetic datasets. This includes work in close collaboration with field experts on (1) scaling existing analysis tools to massive genetic datasets; (2) developing and managing automated analysis pipelines for on-premise and cloud computing clusters; (3) developing web-based tools for data visualization and sharing. (20%)
• Performs complex systems analysis and programming tasks requiring advanced techniques. (10%)
• Debugs malfunctions, problem solves, and modifies programs, as needed. (5%)

Required Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent experience.
• 7-10 years of systems analysis/programming in a research environment.
• Experience in Statistical Genetics, scientific computing and data visualization is required.
• Programming languages: Python, C/C++, Java
• Strong skills in Linux shell (e.g. bash) scripting
• Strong knowledge of data structures and algorithms
• Experience with SQL and noSQL databases
• Experience in front-end web-development with JavaScript and frameworks such as Vue.js, AngularJS, and React.
• Experience with cloud computing solutions on Google Cloud and/or Amazon Web Services would be an advantage
• Familiarity with job schedulers (e.g. SLURM or Torque/PBS) and workflows (e.g. Snakemake, Nextflow, or CWL) would be an advantage.
• Prior experience in a FISMA-compliant environment.

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.

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.

The University of Michigan is an equal employment opportunity employer.