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BSD MED - Genetic Medicine - Liu 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.

Job Summary

The Liu lab at the Section of Genetic Medicine is looking for a Data Scientist specializing in data science and functional genomics. The Liu lab is interested in understanding how genetic variation affect genomic function and diseases, by using multi-omic data and developing powerful statistical methods (lab website: https://liulab.uchicago.edu/). We are looking for candidates with solid background in statistics or computational biology or genetics/genomics and strong interests in functional genomics or statistical genetics. If interested, please provide three references and writing samples of two manuscripts.

Responsibilities

• Lead and assist research projects that integrates multi-omic data, statistical tool development and computational analyses to understand the molecular mechanisms of disease associated genetic variation.
• Responsibilities may include the following laboratory duties: method development; data exploration; computational analyses; presenting at group meetings and departmental level seminars.
• Responsibilities may also include the following non-laboratory duties: provide training support to other lab members.
• Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
• Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
• Performs other related work as needed.

Minimum Qualifications

Education:

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

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Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

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Certifications:

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Preferred Qualifications

Education:

• PhD degree in genetics or statistics or computational biology or computer science.

Experience:

• Expertise in statistics and/or computational skills and/or human genetics.
• Experience in genomics, functional genomics, human genetics or relevant field.

Preferred Competencies

• Proficiency working in linux environment, basic shell scripts, R and python.
• Strong Analytical skills.
• Problem-solving skills.
• Organizational skills.
• Verbal and written communication skills.
• Ability to work independently and as part of a team.

Application Documents

• Resume (required)
• Cover Letter (required)

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

Job Family

Research

Role Impact

Individual Contributor

FLSA Status

Exempt

Pay Frequency

Monthly

Scheduled

Weekly Hours

40

Benefits Eligible

Yes

Drug Test Required

No

Health Screen Required

No

Mo or Vehicle Record Inquiry Required

No

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 th