AI Scientist

Cambridge, MA. $200,000 to $230,000 base salary plus bonus and equity This is a unique opportunity to drive cutting‑edge research at the intersection of AI, genomics, and healthcare. You will play a central role in shaping the research direction of an early‑stage, high‑growth team building foundational models to transform how complex diseases are detected and monitored. With strong backing and access to high‑quality multimodal data, this role offers both scientific depth and real‑world impact. The Company They are an early‑stage, well‑funded organisation applying advanced machine learning to healthcare, with a focus on improving early detection and long‑term patient outcomes. Their approach combines genomic, clinical, and longitudinal data to develop next‑generation predictive systems. The Role Define and drive research strategy across AI, genomics, and oncology to maintain a state‑of‑the‑art approach Design, train, and evaluate machine learning models for biomarker detection, risk stratification, and longitudinal patient monitoring Develop and advance foundation models and reinforcement learning systems for healthcare applications Lead scientific publications, conference contributions, and technical knowledge sharing Partner with engineering teams to translate research into production‑grade systems used in clinical workflows Build rigorous evaluation frameworks and validation methodologies to meet scientific and clinical standards Collaborate with cross‑functional stakeholders including clinicians, researchers, and product teams Your Skills & Experience Strong academic background in machine learning, computational biology, or a related field Proven track record of research contributions in applied AI, including large‑scale or foundation models Hands‑on experience developing and evaluating machine learning models using Python and frameworks such as PyTorch, JAX, or TensorFlow Experience working with modern ML infrastructure, including GPU or TPU environments and scalable pipelines Strong understanding of experimental design, evaluation, and statistical rigor Ability to communicate complex technical concepts to both scientific and non‑technical audiences What They Offer Base salary between $200,000 and $230,000 with additional bonus and equity Opportunity to shape the research direction of an early‑stage AI organisation Access to high‑quality datasets and interdisciplinary collaboration Strong career progression as the team scales Collaborative, high‑performance culture focused on scientific excellence and ownership #J-18808-Ljbffr Harnham