remote
PhD Scientist, Drug Discovery Data AI/ML - StaffRight Associates, LLC
Software Engineer
Lead advanced AI/ML research to accelerate drug discovery, developing predictive models and data pipelines using Python, deep learning, and bioinformatics techniques.
About the role
Key Responsibilities
- Design, implement, and validate machine learning models for target identification and lead optimization.
- Develop scalable data pipelines and feature engineering workflows for large-scale omics and chemical datasets.
- Collaborate with chemists, biologists, and computational scientists to translate model insights into actionable drug candidates.
- Publish findings in peer‑reviewed journals and present at industry conferences.
- Mentor junior researchers and contribute to open‑source tool development.
Requirements
- PhD in Computational Biology, Bioinformatics, Chemistry, or related field.
- Proven experience with Python, deep learning frameworks (TensorFlow/PyTorch), and large‑scale data processing.
- Strong background in drug discovery workflows and cheminformatics.
- Excellent communication skills and ability to work cross‑functionally.
- Experience with cloud platforms (AWS, GCP) and containerization is a plus.
Skills
pythonmachine learningdeep learning