Senior Scientist, Machine Learning

What if… you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability?

FL94 Inc., is a privately held, early-stage biotechnology company pioneering Protein Editing. At FL94 we create small molecules that edit protein structure and function to unlock presently undruggable targets and a broad array of novel chemistry modalities. Our platform integrates novel small molecule chemistry and chemoproteomic discovery technologies with machine learning to enable generative design of protein editing chemistries. FL94 is backed by Flagship Pioneering, bringing the courage, vision, and resources to guide FL94 from platform validation to patient impact. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us! 

We expect that the quality, relevance, and quantity of the data our platform generates will afford the ML Group to lead the nascent field of generative chemistry to successfully drug high-value, previously undruggable disease targets.

Position Summary:

FL94 is seeking a talented (Senior) Machine Learning Scientist. The successful candidate will develop and apply cutting-edge machine learning (ML) paradigms across FL94’s proprietary chemoproteomics and small molecule chemistry data sets to narrow the search space and increase the probability of discovering novel chemistries via generative design. This position is ideal for someone with broad and deep expertise in machine learning, deep learning, and computational sciences.

Key Responsibilities:

• Translate small molecule and proteomic drug discovery challenges into ML problems
• Maximize value of public and proprietary data assets
• Develop and prototype novel ML algorithms for impactful drug discovery problems
• Train and validate large deep learning models at scale
• Leverage open-source deep learning models and transfer learning to reduce time to solution
• Speed up training of large deep learning models using clusters of CPUs and GPUs
• Develop optimized data pipelines to fuel deep learning models
• Collaborate closely with experimental biologists, proteomics, chemists and computational biologists to focus efforts on impactful problems
• Communicate findings to a multi-disciplinary audience

Qualifications:

• PhD in applied mathematics, computer science and other quantitative disciplines with a strong focus in machine learning and deep learning
• Proven track record of innovation in applied mathematics, data science and ML
• 5-10+ years hands-on experience in implementing, evaluating and tuning hyperparameters for large deep learning models 
• Strong expertise in multiple programming paradigms and software libraries such Python, JAX, Tensorflow (or Pytorch), Keras, Pandas, Sklearn, Hugging Face
• Experience using AWS services such as S3, EC2, ECS, AWS Batch, Sagemaker to reduce runtime to train and evaluate deep learning models
• Experience in biotech/pharma, or small molecule drug design is ideal but not required. Candidate must have experience in solving real world problems using deep learning in a multidisciplinary setting
• Foundational understanding of biology and chemistry is ideal, but not required
• Strong written and oral communication skills

Location: Cambridge, MA

More About Flagship Pioneering

Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. 

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.