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AI Scientist
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Harnham Search and Selection Limited
Boston, MA (In Person)
$215,000 Salary, Full-Time
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Job Description
INFO SALARY
$200000 - $230000 LOCATION BostonJOB TYPE
Permanent AI Scientist (Genomics Foundation Models) 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 CONTACT Guillian Eller Business Manager - ML, LLM & AI