Professional Aide
- Michigan State University
- United States, MI
- Jul 21, 2026
Job Description:
Position Summary(Basic Job Function)
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
This position offers an opportunity to work at the interface of computational science and biology, developing innovative approaches for extracting biological insights from large-scale imaging and multi-omics datasets.
The successful candidate will play a central role in designing, implementing, and maintaining computational workflows for AI-assisted image analysis, quantitative pathology, and research data analysis. Projects will include applying machine learning and computer vision approaches to microscopy and histopathology images, integrating imaging with transcriptomic and other molecular datasets, and developing reproducible analysis pipelines that enable new biological discoveries.
In addition to computational research, the Research Assistant will collaborate closely with graduate students, postdoctoral fellows, and faculty members to support experimental studies, curate and organize research data and metadata, and contribute to interpretation of biological results. The position provides opportunities to participate in interdisciplinary research spanning toxicology, liver biology, bioinformatics, spatial biology, and artificial intelligence.
The ideal candidate will have excellent organizational and problem-solving skills and experience with Python and/or R for scientific computing. Familiarity with Linux/bash, Git version control, and Jupyter notebooks is expected. Experience with image analysis, machine learning, deep learning, computer vision, cloud computing, containerization (e.g., Docker or Singularity), or high-performance computing is highly desirable but not required. Candidates should be enthusiastic about learning new computational methods and working collaboratively in a multidisciplinary research environment.
Desired Qualifications
The candidate must be well organized and comfortable using the bash command line and Git version control system with experience in R and/or Python. Experience with cloud computing, containerization, and AWS would be beneficial. Strong communication skills are also essential as the candidate(s) will work closely with graduate students, postdoctoral research associates, and faculty to support research activities.
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 must submit a cover letter outlining their qualifications and relevant experience, a current CV, and contact information for two or more references.
Work Hours
STANDARD 8-5
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Location:
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Post Code:
Employment Type:
Job Description:
Position Summary(Basic Job Function)
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
This position offers an opportunity to work at the interface of computational science and biology, developing innovative approaches for extracting biological insights from large-scale imaging and multi-omics datasets.
The successful candidate will play a central role in designing, implementing, and maintaining computational workflows for AI-assisted image analysis, quantitative pathology, and research data analysis. Projects will include applying machine learning and computer vision approaches to microscopy and histopathology images, integrating imaging with transcriptomic and other molecular datasets, and developing reproducible analysis pipelines that enable new biological discoveries.
In addition to computational research, the Research Assistant will collaborate closely with graduate students, postdoctoral fellows, and faculty members to support experimental studies, curate and organize research data and metadata, and contribute to interpretation of biological results. The position provides opportunities to participate in interdisciplinary research spanning toxicology, liver biology, bioinformatics, spatial biology, and artificial intelligence.
The ideal candidate will have excellent organizational and problem-solving skills and experience with Python and/or R for scientific computing. Familiarity with Linux/bash, Git version control, and Jupyter notebooks is expected. Experience with image analysis, machine learning, deep learning, computer vision, cloud computing, containerization (e.g., Docker or Singularity), or high-performance computing is highly desirable but not required. Candidates should be enthusiastic about learning new computational methods and working collaboratively in a multidisciplinary research environment.
Desired Qualifications
The candidate must be well organized and comfortable using the bash command line and Git version control system with experience in R and/or Python. Experience with cloud computing, containerization, and AWS would be beneficial. Strong communication skills are also essential as the candidate(s) will work closely with graduate students, postdoctoral research associates, and faculty to support research activities.
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 must submit a cover letter outlining their qualifications and relevant experience, a current CV, and contact information for two or more references.
Work Hours
STANDARD 8-5
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