Staff Machine Learning Scientist, Translational AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Provide technical guidance at the convergence of deep learning foundation models, computational biology, and molecular diagnostics.

• Lead the design and validation of genomic, transcriptomic, and multimodal sequence models.

• Collaborate across AI Research, Bioinformatics, and Clinical Science departments.

• Act as the primary technical authority on the application of molecular, genomic, and pathology foundation models to oncology and translational medicine inquiries.

• Develop rigorous alignment and post-training workflows that connect pre-trained foundation models with data.

• Oversee the post-training, parameter-efficient fine-tuning (PEFT), and assessment of deep sequence and multimodal models.

• Create robust workflows for fine-tuning, probing, and analyzing latent space representations.

• Validate model outputs against multi-omic benchmarks and real-world results.

• Build, train, and optimize advanced machine learning models using NGS, ctDNA assays, digital pathology imaging, and longitudinal clinical metadata.

• Collaborate with Computational Biology, Translational Science, and Medical Affairs teams to convert complex clinical requirements into clear problem statements.

• Provide technical leadership and data execution support for strategic partnerships.

⛳️ Requirements

• PhD in Computer Science, Computational Biology, Bioinformatics, Biomedical Engineering, or a similarly quantitative structural field.

• Over 5 years of industry or post-doctoral experience applying deep learning frameworks to intricate biological, genomic, or clinical datasets, with a documented emphasis on oncology or immunology portfolios.

• Strong technical expertise in transformer architectures, representation learning, self-supervised learning (SSL), or deep sequence modeling.

• Established record of translating machine learning outputs into verifiable biological variables or clinical performance metrics.

• Advanced proficiency in PyTorch and contemporary machine learning infrastructure (e.g., HuggingFace ecosystem, PEFT, Captum, MLflow, and distributed GPU computing environments).

• Demonstrated technical leadership through comprehensive project ownership, architectural design authority, or direction of cross-functional teams.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability insurance plans for eligible employees and their dependents.

• Complimentary testing for employees and their immediate family members.

• Fertility care assistance.

• Leave for pregnancy and baby bonding.

• 401k plan benefits.

• Commuter benefits.

• Generous employee referral program.