OPS Research Assistant - AI-driven Drug Discovery
OPS Research Assistant - AI-driven Drug Discovery
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1 Vacancy
Job Description
OPS Research Assistant AIdriven Drug Discovery
The OPS Research Assistant in AIdriven Drug Discovery will work in the lab of Dr. Yanjun Li in the College of Pharmacys Medicinal Chemistry department.
Job Description:
- Be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence and structure modeling for protein RNA or small molecule.
- Apply computational techniques data analysis and visualization methods for ongoing studies.
- Train and validate large deep learning models at scale.
- Develop optimized data pipelines to fuel deep learning models and maximize the value of public and proprietary data assets.
- Collaborate closely with PI research assistants computational biologists experimental biologists and chemists on research projects and scientific papers.
Starting at $15/hour;Commensurate with education and experience
Bachelors or Masters degree in computer science electronic engineering bioinformatics computational biology computational chemistry statistics data science or related disciplines.
- Interests in AIdriven drug discovery deep learning researchand selfmotivated.
- Solid Math/Statistics and coding skills in Python/R PyTorch and TensorFlow.
- Demonstrated research experience in the deep learning and computational biology field.
- Good written and oral communication skills. Proactive perseverant and eager to learn.
- Ability to manage time efficiently and meet deadlines.
To be considered you must upload your cover letter resume and list of three professional references.
As a part of our review for research and research support positions we look for a full CV which includes all professional appointments/engagements all postsecondary education and all publications from postsecondary education and all respective dates. Please be sure to not use acronyms in your CV. This CV should include names of entities associated with any projects.
This position is inperson and is not eligible for remote work.
Review of applications will begin Jan. 25 2025 and continue until the position is filled.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Employment Type
Part-Time
