Senior Scientist, Machine Learning

Kimia Therapeutics is building a next-generation drug discovery engine that combines a unique physical platform for high-throughput chemistry and screening with state-of-the-art computational approaches to accelerate the discovery of novel drugs in cancer and immune disorders. We are backed by top investors in techbio and therapeutics, including Dimension and The Column Group, and are led by a veteran leadership team who have built and scaled multiple new discovery platforms and used them to put multiple drugs into the clinic.
Job Summary:
We’re seeking a highly skilled and innovative scientist and engineer to build state-of-the-art machine learning capabilities integrating with our high-throughput SAR platform. You will collaborate with experimentalists, data scientists, computational chemists, and software engineers to build novel ML capabilities in chemistry for the ATLAS platform, and apply them to our portfolio of real-world therapeutic programs.

Responsibilities

• Develop and evaluate SOTA ML algorithms for high-throughput drug discovery
• Integrate active learning approaches with our high-throughput SAR platform to design experiments that explore and exploit chemical space to discover best in class molecules
• Collaborate with software engineering to design and build data and model training/eval pipelines to streamline model training, model selection and inference
• Collaborate with experimentalists to prospectively validate ML model improvements 
• Evaluate the applicability of ML advances to Kimia’s high-throughput platform

Experience and Skills

• PhD in the field of machine learning, computer science with 2+ years of experience; or BS/MS in the field of machine learning, computer science with 4+ years of experience
• Strong track record of rigorous development and evaluation of novel advances in machine learning for (medicinal) chemistry
• Experience building and applying scalable production-level ML pipelines
• Expertise in Python and standard ML tools and packages (scikit-learn, Pytorch)
• Familiarity with medicinal chemistry concepts and cheminformatics toolkits (RDKit, OEChem, Chemaxon)
• Excellent communication and collaboration skills, and embrace collaborating with a multidisciplinary team

We offer a vibrant startup environment where every member of the Kimia team plays an important role in shaping our science and our culture. Kimia offers competitive pay, participation in our stock option plan, and comprehensive benefits. At Kimia we believe that a diverse, open and inclusive environment is key to our success. We are proud to be an equal opportunity employer and will consider all applicants for employment.