Professional Aide
Listed on 2026-10-12
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Research/Development
Data Scientist, Research Scientist, Mathematics
Professional Aide
Support Staff
Location:
East Lansing, Michigan, United States
Department:
College Of Natural Science
Position Summary:
This is a temporary or an on-call position. Provides professional support. Responsibilities may include general business, science, medical, agricultural or other professional support functions. Term:
Temps can work two (2) nine (9) month terms with a week break in service in between and at the end of the second term terminate for three (3) months or switch to an on-call. On-Call allowed to work 1039 hours in any twelve (12) month period.
Unit
Position Summary:
The Data Scientist will develop and apply statistical, machine-learning, and computational methods for the analysis of biological datasets, including single-cell and spatial transcriptomic data. The position will also involve the development and implementation of mathematical and computational models of cellular behavior and cell-cell interactions and the integration of complex biological datasets into predictive models. The successful candidate will work collaboratively with members of the research group and with experimental and computational collaborators.
Job Responsibilities
- Develop and apply statistical and machine-learning methods for the analysis of complex biological datasets.
- Analyze single-cell and spatial transcriptomic data.
- Develop mathematical and computational models of cellular behavior and biological networks.
- Integrate multiple datasets and computational approaches into predictive models.
- Develop, document, and maintain computational analysis pipelines.
- Collaborate with researchers from physics, computational science, and biomedical sciences.
- Contribute to the interpretation and presentation of research results.
Minimum Requirements
Master's degree in Physics, Statistics, Computer Science, Mathematics, Applied Mathematics, Computational Science, Data Science, or a closely related quantitative field.
Demonstrated experience with scientific programming and quantitative data analysis.
Experience with programming languages commonly used for scientific computing and data analysis, such as Python, R, Julia, or equivalent.
Desired Qualifications
Ph.D. in Physics, Statistics, Computer Science, Mathematics, Applied Mathematics, Computational Science, Data Science, or a closely related quantitative field.
Experience with one or more of the following is desirable:
- Machine learning and statistical modeling
- Single-cell RNA sequencing or spatial transcriptomics
- Computational biology or bioinformatics
- Mathematical modeling of biological systems
- Network analysis
- Scientific computing and analysis of large datasets
Strong written and oral communication skills and the ability to work collaboratively in an interdisciplinary research environment are also desirable.
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Application Materials
Applicants should submit:
- A curriculum vitae or résumé
- A brief statement describing relevant research, computational, and data-analysis experience
- Contact information for [two/three] professional references
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