Department
 

BSD MED - Genetic Medicine - Barreiro 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 Barreiro Lab is looking for a Staff Scientist to work on the analysis and interpretation of large functional genomic datasets for research projects aimed at understanding the contribution of genetic and non-genetic factors to population variation in immune responses. The Staff Scientist is expected to plan, execute, facilitate and advanced technical/scientific research projects.

Responsibilities

Designs, develops and tests processing and analytical computational pipelines (including novel empirical methods, computational, statistical methods, etc.), including field work in South America.

Collaborates with other researchers as appropriate.

Participates in the preparation and writing of grant applications and reports, and co-authors scientific research manuscripts.

May supervise other research staff.

May present work at scientific meetings, and provide peer review of grant applications and scientific manuscripts.

The individual in this role will be involved in all aspects of the design, development, implementation, and analysis of research projects focused on population variation in immune responses.

Serves as a resource for collecting data and performing analysis. Facilitates and promotes a research project by providing scientific or intellectual information.

Develops laboratory protocols and training on new techniques. Manage, analyze and make recommendations on complex data sets for research.

Performs other related work as needed.

Minimum Qualifications
 

Education:

Minimum requirements include a PhD in related field.

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Work Experience:

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

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Certifications:

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Preferred Qualifications

Education:

Doctoral degree.

Experience:

Experience in developing bioinformatic analytical pipelines.

Experience with the analysis and interpretation functional genomics and population genetic data sets.

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

Supervisory experience.

Preferred Competencies

Knowledge in functional genomics and populations genomics.

Knowledge in single cell sequencing technologies such as RNASeq, ATACSeq.

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

Proficiency in scripting/programing languages (R/Python/Bash).

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

FLSA Status
 

Exempt

Pay Frequency
 

Monthly

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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