Staff Machine Learning Scientist

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

📋 Description

• Conduct pioneering research in AI focused on biological challenges, encompassing cancer research, genomics, computational biology, and immunology.

• Develop new models or enhance existing ones to detect biological changes associated with diseases.

• Create models that achieve high accuracy and demonstrate robust generalization to new datasets.

• Utilize modern interpretability techniques to comprehend underlying signals and propose potential biological mechanisms.

• Collaborate with ML Engineering teams to ensure the computational infrastructure is optimized for model training and iteration.

• Partner with computational biologists, molecular biologists, and ML engineers to design and execute research experiments.

• Design algorithms for early detection tests of blood-based cancers.

• Approach work with mindfulness, transparency, and a humane perspective.

• Report directly to the Director of Machine Learning Science.

⛳️ Requirements

• PhD or equivalent research experience with a focus on AI in a relevant quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics.

• Over 6 years of postdoctoral or post-PhD industry experience delivering impactful results with relevant modeling techniques.

• Research publications or industry accomplishments that showcase independent research in applied machine learning, deep learning, and complex data modeling.

• Solid practical and theoretical knowledge of generalized linear models, kernel machines, decision trees and forests, neural networks, boosting, and model aggregation.

• Strong practical and theoretical understanding of deep learning models, including large language models or other foundational models.

• Extensive experience with supervised learning, self-supervised learning, and contrastive learning methods.

• Proficiency in the latest state-of-the-art ML/DL methodologies and their application to biological data.

• Skilled in a general-purpose programming language such as Python, R, Java, C, or C++.

• Familiarity with ML frameworks like PyTorch, TensorFlow, or JAX, and ML platforms such as Hugging Face.

• Experience with ML analysis and development tools such as TensorBoard, MLflow, or Weights & Biases.

• Ability to effectively communicate across disciplines, collaborate, and make progress through experimental iterations.

• Cross-functional communication and collaboration skills with software engineers and computational biologists.

• Passion for innovation and a proven track record of initiative in new research domains.

• Preferred: domain-specific experience in computational biology, genomics, proteomics, or a related area.

• Preferred: experience in developing deep learning models for genomic data and knowledge of DNA foundation models.

• Preferred: experience in NGS data analysis and bioinformatics pipelines.

• Preferred: familiarity with Docker in cloud platforms such as GCP, Azure, or AWS.

• Preferred: production software engineering experience, including automated regression testing, version control, and deployment systems.

🏝️ Benefits

• Base salary ranging from $199,675 to $283,500.

• Equity opportunities.

• Cash bonuses.

• Comprehensive medical, financial, and other benefits based on the position offered.

• Equal-opportunity employer committed to valuing diversity.