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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) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the app ication.

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