Develop AI agents and apply machine learning to enable delivery of robust results from proteomics experiments performed by the proteomics team, expedite decision making and reduce processing time to turn processed data into reported results.
Requirements
- 1 to 3 years of experience in Programming in R, Python and machine learning libraries.
- Programming skills in R, Python and machine learning libraries.
- Design of AI agents and architecture capable of autonomous decision making.
- Perform feature engineering and development of accurate ML models.
- Familiarity with statistics and large-scale scientific studies.
Responsibilities
- Develop AI agents and apply machine learning to enable delivery of robust results from proteomics experiments performed by the proteomics team.
- Develop a process, working with team members, to programmatically run R-scripts and python programs and develop AI agents and ML tools to expedite decision making and reduce processing time to turn processed data into reported results in a more efficient manner than currently done by team analysts.
- Design of AI agents and architecture capable of autonomous decision making.
- Perform feature engineering and development of accurate ML models.
Other
- Hybrid – 3 days onsite
- End of the year Dec 2025 (high possible further extension)
- B.S/M.S. in Computer Science, AI Engineering, Data Statistics, or related fields with a focus on AI/ML.
- Exceptional problem-solving skills and ability to collaborate with diverse subject matter experts.
