Job Description

Job Description:

• Develop, apply, document, and maintain computational tools, both for own use and to support analysis by biologist colleagues without formal computational training. Critically evaluate computational solutions.

• Develop customized computational solutions supporting new kinds of assays and experiments. Understand the analytical needs of new experiments, working closely with wet-lab experimental biologists.

• Implement and optimize successful algorithms and methods to be shared for use by the broader community.

• Develop figures and reports, which provide transparency into the data quality and characteristics, and automate the production of such reports as routine components of computational analysis pipelines.

• Reports data to supervisor and team, attends team meetings to share results, plan projects and experiments, and to ensure that projects support current team goals.

• Maintain and organize computational infrastructure and resources.

• Contribute to generation of protocols, publications, and intellectual property.

• Participates in creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences).

• Applies basic application of computational tools and information technology to gather, analyze, and visualize data in biology and biomedical research.

• Interprets data analysis of high throughput genomics, proteomics and genetic data.

• Perform other related work as needed.

Preferred Qualifications

Education:

• PhD degree in computer science, computational biology, bioinformatics, quantitative science or related field.

Technical Skills or Knowledge:

• Must possess practical experience in data analysis, preferably in an independent project in an academic research laboratory setting.

• Fluency in Unix, standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C++, Java).

• Background in statistics and machine learning strongly preferred.

• Knowledge of SLURM or other job scheduler, and/or bioinformatics tools strongly preferred.

• Knowledge of biology or immunology is preferred. Inclination to acquire such knowledge.

Preferred Competencies

• Ability to understand and translate researchers' scientific goals into computational requirements.

• Ability to work well with faculty and researchers.

• Ability to identify and gain expertise in appropriate new technologies and/or software tools.

• Ability to function as part of an interactive team while demonstrating self-initiative to achieve project's goals and Research Computing Center's mission.

• Strong analytical skills and problem-solving ability.

• Excellent communication skills and the ability to interact professionally with all levels of staff and with external contacts in a fast-paced environment.

• Excellent organization and time management skills.

    

Application Documents

• Resume/CV (required)

• Cover letter (strongly preferred)

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.

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About University of Chicago (UC)

One of the world's premier academic and research institutions, the University of Chicago has driven new ways of thinking since our 1890 founding. Today, UChicago is an intellectual destination that draws inspired scholars to our Hyde Park and international campuses, keeping UChicago at the nexus of ideas that challenge and change the world.

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