Flagship Pioneering, Inc.

Biotechnology

PrincipalScientist,MachineLearning-Biomolecules

$208–286k Pioneering Intelligence
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“Principal Scientist, Machine Learning - Biomolecules at Flagship Pioneering, Inc.. Skills: Machine Learning, Computational Projects, LLM Agents, Scientific Workflows. Lead development of AI/ML projects. Implement AI/ML projects”

What You'll Achieve.

Create a portfolio of AI-first companies; Transform breakthrough ideas; Accelerate fundamental research

Industry & Context.

Biotechnology
Problems you'll solve

Deep Diver; Risk Assessment; Tradeoff Analysis

What They're Looking For.

Must Have

5+ years industry AI/ML experience, Experience driving results through teams, Sustained independent thought and creativity, Leadership and contribution to decision making, Depth across modern ML frameworks, Depth across version databases, Depth across deep learning, Depth across relevant informatics software

Nice to Have

Breadth across protein modeling/design, Breadth across proteomics/mass spec, Breadth across cheminformatics/docking/ADMET, Breadth across biophysics/MD, Breadth across LLM/agentic automation, MLOps expertise, Experience mentoring early hires, Experience acting as interim Head of ML, Experience contributing to hiring plans, Experience contributing to interview processes

What You'll Do.

Lead development of AI/ML projects

Implement AI/ML projects

Control AI/ML projects

Report on AI/ML projects

Oversee method development

Oversee pipeline development

Oversee LLM agent/workflow drive benchmarking

Oversee scaling of AI/ML projects

Oversee implementation into production systems

Promote operational excellence in AI projects

Educate cross-functional collaborators

Manage internal scientists/engineers

Coordinate internal scientists/engineers

Manage external scientists/engineers

Coordinate external scientists/engineers

Manage cross-functional project teams

Coordinate cross-functional project teams

Support interview processes

Plan surface tradeoffs

Propose new development strategies

Identify opportunities for PI

Identify opportunities for venture portfolios

Act as recognized subject matter expert

Actively participate in scientific conferences

Actively participate in meetings

Adapt complex findings

Present complex findings

How You'll Work.

Team & Collaboration

Cross-functional contributors; Cross-functional collaborators; Cross-functional project teams; Venture teams; External partners

Communication Scope

Present complex findings

Process & Methodology

Program Leadership, Strategic Plans

Full Job Description

ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies. As part of Flagship’s integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and beyond. THE ROLE We are seeking a Principal Scientist (Embedded ML/Computational) to lead multiple AI/ML or computational projects across early stage ventures, as a part of Flagship’s company origination process. You will define and deliver pragmatic AI strategies, oversee method and platform development (e.g., systems design, drug design, molecular modeling, systems biology, protein design, LLM/agentic workflows), and ensure rigor in model development, benchmarking, scaling, and reporting. You will manage cross functional contributors as applicable, influence company direction, and represent PI to venture teams and external partners. The ideal candidate is a self-directed serial deep diver - someone who can move from protein design one week to mass spec or docking pipelines the next and then spin up LLM based agents that automate scientific workflows. KEY RESPONSIBILITIES Program Leadership: Lead development, implementation, control, and reporting of several AI/ML or computational projects within assigned ventures in line with broader strategic plans of PI and Flagship, budgets, and timelines. Technical Ownership: Take a specialized technical role on project teams to oversee method development, pipeline development, and LLM based agent/workflow design; drive benchmarking, scaling, and implementation into production grade systems. Best Practices: promote operational excellence in AI projects by educating cross-functional collaborators. Team

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