Machine Learning Research Scientist / Senior Machine Learning Research Scientist, Imaging & Spatial Profiling

California Life • South San Francisco, CA

82d • $155,000 - $223,000

About The Position

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico's highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs. Calico is seeking a Machine Learning Scientist/Senior Machine Learning Scientist to design, develop, and productionize machine learning algorithms and software tools to analyze biological data sets. Such datasets span a variety of dimensionality (1D sequences, 2D images, 3D images, videos) and length scales (physiology to microscopy). This person will be part of a cross-functional effort to build a world-class computing and data analysis platform to support research efforts at Calico. Candidates should be comfortable both with developing novel ML models and approaches as well as reproducing and extending the current published state of the art. This person will also develop novel, scalable methods to solve difficult questions that help further Calico's mission.

Requirements

• Ph.D. in Computer Science, Computational Biology, or related technical field; OR M.S. in Computational Biology, Computer Science, or related technical field, plus 2+ years industry experience
• Experience building and deploying machine learning algorithms and models
• Experience in applying state-of-the-art techniques and tools to problems of biological interest, for example: self-supervised learning, denoising, stitching, segmentation, tracking, and registration
• Experience building visualization tools to debug ML models and data processing pipelines
• Expertise in Jax and/or PyTorch framework ecosystem
• Strong software engineering skills and substantial expertise in Python
• Track record of outstanding communication and collaboration in a cross-functional environment
• Strong analytical and quantitative skills
• Must be willing to work onsite at least four days a week

Nice To Haves

• Experience in applying deep learning to model biological sequences and structures
• Prior experience analyzing biomedical imaging modalities, such as fluorescent and brightfield microscopy, histology, high-content imaging, MRI, micro-CT, ultrasound, and DEXA/X-ray
• Prior experience with the organization and quality control of large heterogeneous datasets
• Domain expertise in computational biology, statistics, cell biology, physiology, or microscopy
• Public recognition in the field, e.g. via scientific publications or success in computer vision competitions
• Degree specialization in computer vision
• Prior experience working with biologists

Benefits

• The estimated base salary range for this role is $155,000 - $223,000
• This position is also eligible for two annual cash bonuses.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Insurance Carriers and Related Activities
• Education Level: Ph.D. or professional degree
• Number of Employees: 251-500 employees