This job was posted by https://illinoisjoblink.illinois.gov : For moreinformation, please see:https://illinoisjoblink.illinois.gov/jobs/11599413 Department

　　BSD E&E - Administration

　　About the Department

　　The Cobey Lab is a computational lab that investigates how protectiveantibody responses to influenza arise after infection and vaccination,how they affect the epidemiology and evolution of influenza viruses, andhow a mechanistic, quantitative understanding of their dynamics can leadus to better vaccines and vaccination strategies. We collaborate closelywith epidemiologists and immunologists. The Lab seeks severalquantitative Computational Research Scientists to do statistical andcomputational research on projects ranging from the evolution of Bcells, the development of protective antibody responses over a lifetime,the antigenic evolution of influenza viruses, responses to seasonal anduniversal influenza vaccines, the estimation of seasonal influenzavaccine effectiveness, and the design of new vaccines. Please note therequired, stock language below does not adequately describe thepositions; please pay attention to the Unit-specific items. Potentialapplicants are encouraged to visit the lab\'s website, where the labhandbook can be found, and to contact Dr. Cobey with questions. We arealso hiring at the BA and MA levels.

　　Job Summary

　　The job develops and implements programs to promote a research projector contributes to the scientific direction of a research resource.

　　Responsibilities

　　Design and perform computational and statistical analyses related tothe lab\'s research.Strive for reproducibility by maintaining well-documented, validatedcode.Summarize research results in writing and in oral presentations,including at meetings and conferences. Prepare scientificmanuscripts.Develop new statistical and programming skills.Develop deep expertise with literature relevant to research project.Manage the research project with the PI.Identify potential new research projects.Creates first drafts for scientific writing and publications,including protocols and grants.Trains and mentors laboratory personnel.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 5-7years of work experience in a related job discipline.

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　　Certifications:

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　　Preferred Qualifications

　　Experience:

　　Experience publishing peer-reviewed papers and open-source code.Experience working on scientific teams, including mentoring juniorresearchers.Preferred Competencies

　　Strong quantitative skills, including in statistical inference.Strong writing and communication skills.Commitment to rigorous and reproducible research, including unit andsystem testing, and version control.Experience managing projects, including delivering results ondeadline.Working Conditions

　　The role requires the ability to work independently for period ofeight (8) hours or more.Application Documents

　　Resume/CV (required)Cover Letter (preferred)When applying, the document(s) MUSTbe uploaded via the MyExperience page, in the section titled Application Documents ofthe application.

　　Job Family

　　Research

　　Role Impact

　　Individual Contributor

　　FLSA Status

　　Exempt

　　Pay Frequency

　　Monthly

　　Scheduled

　　Weekly Hours

　　37.5

　　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/EqualOpportunity Disabled/Veterans and does not discriminate on the basis ofrace, color, religion, sex, sexual orientation, gender, gender identity,national or ethnic origin, age, status as an individual with adisability, military or veteran status, genetic information, or otherprotected classes under the law. For additional information please seethe University\'s Notice of Nondiscrimination.

　　Staff Job seekers in need of a reasonable accommodation to complete theapplication process should call 773-702-5800 or submit a request viaApplicant Inquiry Form.

　　We seek a diverse pool of applicants who wish to join an academiccommunity that places the highest value on rigorous inquiry andencourages a diversity of perspectives, experiences, group