AI Scientist

Job Title: AI ScientistLocation: Boston, MAType: Full TimeOur client is looking for accomplished AI Scientists to help build and deploy next‑generation foundational models that will accelerate innovation in drug discovery. In this role, you’ll work on large‑scale architectures—LLMs, diffusion models, and multimodal systems—to unlock insights from diverse biological and chemical datasets.What You’ll Work OnBuild and train foundational models (LLMs, diffusion models, flow‑matching architectures) for scientific and drug discovery applicationsPre‑train models on large‑scale scientific literature, protein sequences, molecular datasets, and other domain‑rich corporaFine‑tune pre‑trained models—protein language models, chemical LLMs, vision transformers—for target discovery, disease modeling, and molecular designDevelop multimodal models integrating omics, biomedical imaging, protein 3D structures, molecular graphs, and moreImplement advanced generative methods for molecule generation, protein design, and multi‑objective optimizationApply domain knowledge in biology, chemistry, or disease biology to guide modeling decisions and evaluationCollaborate across computational, biological, and chemistry teams to deploy models supporting small molecules, biologics, and emerging modalitiesStay up to date with breakthroughs in foundation models, generative AI, and multimodal learning, contributing to internal knowledge sharing and publicationsWhat You BringPhD in ML, Computer Science, Computational Biology, Bioinformatics, or related field; or equivalent industry experienceDeep expertise in modern deep learning (transformers, diffusion models, generative architectures)Strong experience training large‑scale models using PyTorch and distributed compute frameworksFoundational understanding of biology, chemistry, or disease biologyExperience with at least one: protein LMs, molecular generative models, biomedical imaging modelsExperience with cloud platforms (AWS, GCP) and large GPU cluster environmentsPreferred ExperienceBuilding or fine‑tuning foundation models in life sciences or pharmaceutical contextsMultimodal learning integrating text, images, omics, or molecular dataOmics analysis (genomics, transcriptomics, proteomics) or scientific knowledge graph experienceFamiliarity with protein structure prediction and 3D molecular representationsPublications in top ML or computational biology venuesExperience with model optimization, efficient inference, or production deploymentStrong background in large‑scale data integration for biological systemsBenefits (U.S. Based)Short‑term and long‑term incentive eligibilityMedical, dental, and vision insurance401(k) plan with company matchDisability coverage and basic life insuranceTuition reimbursementPaid volunteer time, company holidays, and well‑being programsUp to 80 hours of sick time annuallyVacation benefits starting at up to 120 hours per year