About Us

Soley Therapeutics is a biotechnology company that was created with the belief that drug discovery and development should be faster and less expensive, with a much higher probability of success. To achieve this goal, we are pioneering a novel, fully integrated approach that combines data and machine learning insights at every step of the process. We are a multi-disciplinary team that brings together experts in drug development, data engineering, and machine learning to create a cohesive platform. Our end goal is to create life-changing medical treatments by combining expertise in technology and life sciences with a comprehensive view of the entire drug discovery and development process.

Soley Therapeutics is committed to hiring a world-class team that brings together a wide variety of different skills and experiences. We are committed to inclusion across race, gender, age, religion, identity, and experience, and believe that diversity makes us stronger by bringing in new ideas and perspectives. We strive to create a workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

About the Role

We are seeking a Machine Learning Lead to design and implement advanced ML solutions that unlock insights from diverse phenotypic and molecular datasets—accelerating the discovery of life-saving therapeutics. We are looking for mission-driven individuals that are eager to bring ideas from conception to reality.

At Soley, Machine Learning Engineers will work side-by-side with Software engineers, Data Scientists, Data Engineers and Drug Development Scientists to achieve drug discovery objectives.

This is a hands-on leadership role for a mission-driven individual who thrives on turning ideas into reality. You will work closely with software engineers, data scientists, data engineers, and drug development scientists to integrate ML into every facet of our drug discovery pipeline.

As the Machine Learning Lead, you will:

• Develop novel ML algorithms and architectures to model complex biological systems.
• Translate state-of-the-art ML techniques into the domains of phenotypes and chemical compounds.
• Drive engineering excellence and set high standards for software craftsmanship and process.

What You’ll Do…

• Developing new machine learning algorithms and architectures to model complex biological systems using traditional and modern learning techniques.
• Design algorithms for segmentation, feature extraction, clustering and classification of biological images and meta data.
• Translating state-of-the-art machine learning techniques designed to work on images, text, or audio into the domain of phenotypes and chemistry compounds.

What You Bring…

You May Also Bring…

• Experience with MLOps and DevOps and supporting large scale machine learning projects in industry or academic settings.
• Publications and presentations at ML conferences and journals.
• A background in drug development or another healthcare or biotechnology field.