FogPharma is a biopharmaceutical company pioneering Helicon™ therapeutics aimed at precisely drugging intracellular targets. They are currently evaluating FOG-001, a TCF-blocking β-catenin inhibitor, in a Phase 1/2 study for solid tumors. The company utilizes machine learning and computational methods in drug discovery. They are looking for a Senior Scientist in Machine Learning to contribute to the discovery of Helicon™ stapled-peptide drugs. The role involves providing ML expertise, developing models, and supporting drug-pipeline projects. Candidates should have a PhD/M.S. in a related field with industry experience in machine learning and proficiency in PyTorch or similar tools. FogPharma values creativity, patient focus, execution orientation, and humility in their team. They are dedicated to fostering diversity and providing equal employment opportunities.
Description: FogPharma was born from the scientific and entrepreneurial vision of founder Greg Verdine, a pioneer in the discovery and development of new drug classes that “drug the undruggable.” FogPharma’s cell-penetrating mini proteins (CPMPs) are a broad new class of medicines that can drug targets beyond the reach of conventional therapeutics. Together with world-leading experts and collaborators in cancer biology and therapy, our team is building a drug discovery powerhouse having passion, knowledge, and creativity to develop fundamentally new cancer treatments. FogPharma derives financial support from a unique syndicate of extraordinary private and institutional investors. FogPharma’s network of friends includes our founders, employees, investors, advisors, collaborators, and cancer patients; all working together to pioneer a unique approach toward conquering cancer.
Industry: Health Tech
Company Size: Medium (51-250 employees, $10M-$50M revenue)