Junior Research Assistant
Hyde Park Campus, United States
University of Chicago
One of the world’s leading research universities, the University of Chicago inspires scholars to pursue field-defining research, while providing a transformative education for students.Department
PSD Statistics: Administration and Staff
About the Department
Professor Claire Donnat’s research group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group partners closely with wet-lab collaborators, providing a vibrant, interdisciplinary environment for quantitative scientists who want to see their work have direct biological impact.
Job Summary
Responsibilities
Clean, annotate, and batch-correct high-throughput sequencing and phenotyping data.
Design and execute pipelines for mutant detection and pathway analysis (e.g., PCA, sparse CCA, eCCA).
Perform rigorous QC and visualization to validate findings.
Develop and maintain R and Python packages that implement lab methods; write unit tests and documentation.
Automate data workflows using Git, CI, and reproducible-research best practices.
Summarize results in figures, slide decks, and draft sections of manuscripts.
Present progress at weekly group meetings and collaborate with graduate students and postdocs.
Provide technical support for ongoing projects (hardware, software, data transfer).
Maintains technical and administrative support for a research project
Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents.
Perform other related duties as assigned.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Certifications:
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Preferred Qualifications
Education:
- Master’s degree in Statistics, Computer Science, Bioinformatics, Computational Biology, or a closely related field by start date.
Experience:
- Coursework or project experience in multivariate statistics and/or machine learning.
- Proficient in R and Python for data analysis.
- Experience with biological or ecological data (e.g., RNA-seq, microbiome, metabolomics).
- Prior contribution to an open-source project or package.
- Familiarity with high-performance or cloud computing (Slurm, AWS, GCP).
Technical Knowledge or Skills:
- Background in high-dimensional or spatial statistics.
- Familiarity with tidyverse, Bioconductor, scikit-learn, and pandas.
- Comfort with Git and Linux command line.
- Strong quantitative reasoning and problem-solving ability.
- Excellent written and oral communication skills.
- Ability to manage multiple tasks and meet deadlines in a collaborative setting.
Application Documents
- Resume/CV (required)
- Cover Letter describing interest and relevant experience (required)
- Contact information for three references (required)
- Link to GitHub or portfolio illustrating coding or data-analysis work (prefferred)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
Pay Range
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, 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.
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.
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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Bioconductor Bioinformatics Biology Computer Science Data analysis GCP Git GitHub Linux Machine Learning Open Source Pandas Pipelines Python R Research Scikit-learn Security Statistics
Perks/benefits: Career development Health care
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