Machine Learning Scientist

Herophilus is revolutionizing drug discovery for brain disorders. Founded by professors from Columbia University and UCSF and experienced technologists, we combine biotechnology, neuroscience, robotics, and machine learning techniques. We employ AI-driven phenotypic screening to discover novel drugs for complex neurological and psychiatric disorders such as epilepsy, autism, and schizophrenia.

We’re building a world-class high-throughput bioscience data processing platform that includes image processing, video analysis, multi-modal data integration, feature extraction, Bayesian modeling, sequence modeling, and deep learning for classification and regression. Our current tech is a custom Python pipeline built on top of existing image and video processing and machine learning tools.

This role is as a core member of our machine learning team. You’ll participate in team-wide projects and lead the design and delivery of independent initiatives.

Candidates must have:

• Demonstrated machine learning expertise
• MS or PhD, or equivalent, in a quantitative field, e.g., physics, math, computer science, theoretical neuroscience
• Python fluency; strong programming practices
• Facility with scientific computing tools: NumPy, SciPy, TensorFlow/PyTorch, or equivalents
• Ability to deal well with ambiguity and act with autonomy
• Initiative, curiosity, a bias for action, and a problem-solving attitude
• A deep desire to learn
• High personal standards of reliability and a track record of driving projects to completion

The work we do needs diverse perspectives and a variety of skills and approaches. Our ideal candidate will have some of the following:

• Experience with deep learning, Bayesian modeling, computer vision, supervised and unsupervised learning techniques
• Track record of working on challenging biological problems and manipulating biological data sets (e.g., microscopy, gene expression, genomics)
• Familiarity with AWS
• Experience in a fast-paced startup environment

In this position you will:

• Design and implement data preprocessing, integration, and analysis solutions
• Mentor and cross-train with other ML scientists through academic-style discussions
• Collaborate with our Biology team to understand and interpret data
• Partner with our Platform Software Engineering team to build and deploy production analysis tools
• Work full-time hours in our San Francisco office, working closely with colleagues from many technical areas

We offer competitive salaries and benefits, and opportunities for professional growth, in an intellectually stimulating and fast-paced environment.

Herophilus is committed to creating a diverse and inclusive environment and we are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.