(Senior) ML Research Scientist (AI Biologist)

Key Skills

Aartificial intelligence, Data Modeling, Deep Learning, Effective communication skills, Environmental, Git, Large Language Models - LLMs, Machine learning techniques, Python Programming, Shell Scripting language, Statistics, Unix Operating system

Job Description

At Flagship Pioneering, we conceive, create, resource, and develop first-in-category life sciences companies to transform human health and sustainability. We’ve created over 100 scientific ventures, including the now familiar drug and vaccine innovator, Moderna Therapeutics.

Pioneering Intelligence (PI) is an initiative focused on AI/ML based scientific innovation within Flagship. Within PI, our Labs group builds new and experimental AI/ML models with the goal of creating platforms that can accelerate scientific discovery. We are a team of machine learning scientists and engineers working within an ecosystem of domain experts and entrepreneurs. We tackle foundational ML challenges and apply those solutions to address core problems in life sciences and beyond.

Project Snapshot: AI Biologist

What if we could build an AI Biologist with:

• Near-human reasoning over scientific knowledge
• Super-human ability to process and integrate multiple data modalities
• Super-human ability to run and interpret virtual (in silico) experiments

We are building on emergent capabilities of foundation models such as multi-step reasoning (LLMs), multi-modal data integration (aligned latents), and few-shot physical property prediction (protein foundation models). Some of our efforts in this space include:

• Building lifelong-learning systems comprised of foundation models and rich feedback mechanisms, tasked with solving complex scientific problems
• Improving the underlying biological foundation models, with a specific focus on the kinds of heterogenous, multimodal data omnipresent in biology

The ML Scientist Role

As part of the PI Labs team, ML Scientists will contribute to our ML research projects. This will involve the ownership of scientific projects within the broader project scope, ranging from conception to execution.

Key responsibilities

Our teams are designed with tight integration between ML Scientists and Engineers, working together to solve problems. Scientists are responsible for:

• Conceiving of and conducting novel ML research, motivated by scientific milestones important to our team
• Collaborating with colleagues across Flagship to apply our research to proprietary biological data and processes
• Working with our ML Engineers to scale and interpret experiments

Requirements

• PhD in Machine Learning, Computer Science, Statistics, Math, or other related fields.
• Experience in deep learning research. In particular, significant experience with representation learning, large language models, reasoning systems, or biological foundation models
• Experience with efficient prototyping, designing experiments, and planning research projects.
• Fluency in Python and standard ML tools and packages.
• Strong publication record.
• Motivated and team oriented, with an ability to thrive in a multidisciplinary environment.
• Excellent communication and presentation skills. Must be able to think independently and work collaboratively.

Preferred experience

• Familiarity with common software development tools: Git, cloud/cluster computing, UNIX environments, shell scripting.
• Experience working on deep scientific problems with a multidisciplinary group

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.