Senior Scientist, Machine Learning

The Company:

FL85 is a Flagship backed, privately held biotechnology company on a mission to transform the current approach to information molecule therapeutics to unlock their full therapeutic potential. In recent years, we have begun to experience the power of information molecules in treating historically undruggable diseases and in designing therapies with unprecedented turnaround times. FL85’s platform integrates nanoparticle development with world-class informatics technologies and a novel pipeline of experimentation and discovery to drive a new generation of highly effective, therapeutically relevant information molecule therapies. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us!

FL85 was founded by Flagship Pioneering. Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability. Since its launch in 2000, the firm has applied a unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $30 billion in aggregate value. The current Flagship ecosystem comprises 37 transformative companies, including: Moderna Therapeutics (NASDAQ: MRNA), Indigo Agriculture, Sana Biotechnology (NASDAQ: SANA), Generate Biomedicines, and Tessera Tx. 

Position Summary

We believe we are at the cusp of a nucleic acid medicine revolution powered by programmable medicines and machine learning. We are leveraging machine learning and fast iterative cycles with a world-class wet lab team to guide and improve the design of the next generation of delivery vehicles for nucleic acid therapeutics. These delivery vehicles are complex self-assembled particles at the intersection of chemistry, biology and self assembly, and ML can be leveraged to help generate and predict across all design aspects.

To this end, we are seeking a rigorous, self-motivated, creative Senior Machine Learning Scientist. As one of the first computational scientists and engineers on the team, you will have the chance to greatly impact the organization and drive projects end-to-end, from ideation, to proof of concept, to production-level data pipelines. You will be expected to develop innovative methods for molecular generation and optimization, large self-supervised pre-training, and active learning strategies to close the loop with the wet lab. The successful candidate will work closely with experimental scientists to rapidly advance various scientific programs, be comfortable iterating rapidly in development phase, while building robust and reliable pipelines in production. This individual will join a world-class, dynamic, and highly collaborative team that is driving a novel platform technology.

You’re already comfortable:

• Writing professional-level python code under version control
• Understanding the latest developments in ML architectures
• Training and customizing ML models
• Rigorously evaluating ML models
• Investigating datasets and developing intuition around statistical relationships, biases, and outliers
• Following and triaging ML literature and rapidly prototyping new ideas
• Making connections and understanding one or more scientific fields beyond CS/ML and coming up with novel cross-disciplinary ideas
• Effectively communicating results to stakeholders with various levels of ML expertise

You will have the opportunity to develop:

• A strong domain expertise in nucleic acid medicines and nucleic acid medicine delivery
• A deep relationship with a world class lab team
• Automated, production level data pipelines
• MLOps best practices
• Engineering infrastructure expertise
• A deep expertise in ML for chemistry applications
• Tooling and analytics for wet lab team

Qualifications:

• Ph.D. in a computer science, statistics, or a related field with demonstrated experience applying computational methods to scientific applications
• 2-5 years developing ML methods to solve scientific problems, with a particular interest towards applications to molecular generation, active learning, Bayesian optimization and/or experimental design as well as adjacent fields such as biology, chemistry, immunology, or genomics
• Proficiency in Python and machine learning frameworks
• Energetic self-starter with the ability to work effectively in an entrepreneurial environment
• Excellent analytical skills and ability to synthesize & communicate complex information rapidly and effectively
• Unmatched sense of urgency
• A deep passion for using novel machine learning techniques to unlock new impact potential across health