Department

BSD MED - Genetic Medicine - Chowdhury Research Staff

About the Department

The Section of Genetic Medicine continues to shape the future of personalized medicine with successful research programs focused on the quantitative genetic and genomic science. The Section provides extremely valuable collaborations with investigators in the Department of Medicine who are seeking to develop new and more powerful ways to identify genetic risk factors for common, complex disorders with almost immediate clinical application.

The Section of Genetic Medicine conducts impactful investigations focused on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences Division and the University of Chicago.

Job Summary

The Roy Chowdhury Lab is looking for a Bioinformatician to work on the analysis and interpretation of large genomic datasets for research projects aimed at identifying factors that contribute to protective immunity against Mtb. The Bioinformatician is also expected to work on other ongoing projects in the lab. The Bioinformatician will perform general bioinformatics analysis for projects primarily involving omics data and support all phases of bioinformatics activities by helping devise or modify procedures to solve complex problems. He/She will manage data including loading and querying data from database system and public repositories and transform and merge multilevel omic data into user-friendly formats, develop software pipelines, provide preliminary interpretation of the data, and reports of the results for possible publications. He/She will also work in collaboration with others working to complete projects in a timely and efficient manner.

Responsibilities

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

Implement or modify existing web-based bioinformatics tools.

Transfer abstract workflows into production level software.

Data analysis of high throughput genomics, proteomics and genetic data.

Customize existing applications to meet specific scientific project needs.

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

Support the development of data models, databases or software applications.

Produce, present and discuss high quality data analysis reports.

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

Plans own resources to implement or modify existing web-based bioinformatics tools.

Guides with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.

Designs and perform formal evaluation of informatics methods and products.

Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.

Certifications:

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Preferred Qualifications

Education:

Advanced degree.

Technical Skills or Knowledge:

Experience in developing and implementing empirical genomic protocols.

Experience with the analysis of single cell RNA-seq data sets.

Experience with assisting in the training, a strong publication record, and a demonstrated commitment to excellence in research.

Preferred Competencies

Knowledge in genetics/ immunology.

Knowledge in bioinformatics methods and statistical tools for the analyses of genomic data.

Knowledge of regulatory policies and procedures.

Analytical skills.

Problem-solving skills.

Attention to detail.

Organizational skills.

Verbal and written communication skills.

Ability to work independently and as part of a team.

Application Documents

Resume/CV (required)

Cover Letter (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Research

Role Impact

Individual Contributor

Scheduled Weekly Hours

40

Drug Test Required
 

No

Health Screen Required
 

No

Motor Vehicle Record Inquiry Required
 

No

Pay Rate Type

Salary

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FLSA Status

Exempt

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Pay Range

$78,000.00 - $112,000.00

The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.

Posting Statement
 

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or 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 Applicant Inquiry Form.

 

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

 

All offers of employment are contingent upon a background check that includes a review of conviction history.  A conviction does not automatically preclude University employment.  Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

 

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