Sr Scientist, AI/ML for Drug Discovery
- Conceive, develop, and implement AI/ML solutions applied to drug design problems, including but not limited to, molecule structure generation/prediction and molecular property prediction, to help identify molecules that have the potential to become effective drugs
- Work closely with a cross disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications
- Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams
- Extensive hands-on coding and actively contribute to platform development
- Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making findings through peer-reviewed publications and/or scientific conferences
- Ph.D. in EE/CS/Statistics/Applied math or related majors
- Extensive experience with Geometric Deep Learning and Language Modeling is required
- Strong background in artificial intelligence / machine learning with an established track record (publication in top-tier conferences/journals, awards, patents, white papers)
- Proficiency with one or more programming languages such as Python or C++. Proficiency in one or more AI frameworks such as PyTorch or Tensorflow
- Excellent written and verbal communication skills
- Ability to work independently and as part of a team
- Familiarity with and exposure to drug discovery and clinical development processes is a plus
- Hands-on technical data analysis, cloud computing (AWS, Azure), and dockerization is a plus
- Gain experience working in the pharmaceutical industry
- Navigate and work within a matrix environment
- Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications
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