Department
 

BSD MED - Genetic Medicine - Im 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
 

We are seeking an entry level Data Analyst with an undergraduate background in computational biology, bioinformatics, or a related quantitative discipline to join our computational biology and bioinformatics team. This role is ideal for those passionate about leveraging science to enhance human health and interested in continuing their graduate studies. You will assist the development and application of statistical and computational tools to analyze vast genomic datasets, working closely with global consortia and other biomedical researchers to address breast and ovarian cancer challenges.

Responsibilities

Help process and analyze breast and ovarian cancer genomic data, using statistical methods and deep learning frameworks to discover novel insights.

Assist in implementing and refining existing bioinformatic pipelines for handling complex genomic datasets, ensuring high-quality results and reproducibility according to lab-internal protocols.

Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.

May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.

Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.

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 years of work experience in a related job discipline.

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Certifications:

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Preferred Qualifications

Education:

Bachelor's degree in computational biology, genomics, bioinformatics, statistics, or another relevant quantitative discipline.
 

Experience:

Familiarity with R and Python.

Familiarity with high-performance computing (HPC) systems.
 

Preferred Competencies

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) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family
 

Research

Role Impact
 

Individual Contributor

FLSA Status
 

Non-Exempt

Pay Frequency
 

Biweekly

Scheduled Weekly Hours
 

40

Benefits Eligible
 

Yes

Drug Test Required
 

No

Health Screen Required
 

No

Motor 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 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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