Pioneering Intelligence | Cambridge, MA Principal Scientist, Machine Learning - Biomolecules

Flagship Pioneering; Cambridge (MA); On-site; USD 208,000 - 286,000; Full time

Benefits offered by this job

Healthcare coverage

Annual incentive program

Retirement benefits

Job summary

Flagship Pioneering is looking for a Principal Scientist specializing in Machine Learning to lead AI projects that impact early-stage ventures. Ideal candidates will possess a strong background in AI/ML and hold a Master’s or PhD. Responsibilities include overseeing technical development, managing cross-functional teams, and contributing to strategic planning. The role offers a competitive salary range of $208,000 - $286,000, along with comprehensive benefits.

Candidates must demonstrate leadership experience and the ability to drive high-impact projects in fast-paced environments.

Qualifications

• Master’s or PhD with 5+ years in scientific, engineering or computational roles.
• Proven leadership and independent creative thought in AI/ML projects.
• Experience collaborating with cross-functional teams.

Responsibilities

• Lead multiple AI/ML projects across early-stage ventures.
• Define pragmatic AI strategies and oversee method development.
• Manage and mentor cross-functional contributors and early hires.

Skills

Python

AI/ML expertise

Leadership experience

Problem-solving

Education

Master’s or PhD in a relevant field

Tools

PyTorch

TensorFlow

Docker

AWS

Job description

Principal Scientist, Machine Learning - Biomolecules

Cambridge, MA USA

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 Leadership: Manage and/or coordinate internal and external scientists/engineers and cross‑functional project teams as applicable; mentor early hires; support recruiting and interview.
• Planning & Resourcing: Contribute to project planning, including budgets, resources, and timelines; surface risks and tradeoffs early with clear options.
• Landscape & Strategy: Independently scout emerging literature and the AI/ML landscape; synthesize concepts to propose new development strategies and identify opportunities for PI and venture portfolios.
• Representation & Community: Represent PI to portfolio companies and external partners; act as a recognized subject matter expert; actively participate in scientific conferences and meetings.
• Communication & Influence: Influence the course of projects and technical approaches; adapt and present complex findings to diverse audiences to support meaningful interpretation and action.

PROFESSIONAL EXPERIENCE & QUALIFICATIONS

• Master’s, or PhD in a relevant field (e.g., machine learning, mathematics, statistics, computational sciences) with 5+ years’ experience scientific/engineering/computational in academic, pharmaceutical, or biotechnology settings; industry AI/ML experience preferred.
• Experience driving results directly or indirectly through teams of engineers/scientists in dynamic, fast‑paced, entrepreneurial, and technical environments.
• Clear evidence of sustained independent thought and creativity driving high impact, cross‑disciplinary AI/ML projects.
• Successful track record of leadership and contribution to decision making on progression of AI/ML models within projects or programs.
• Depth across multiple core tools and concepts, including Python; modern ML frameworks (PyTorch or JAX/TensorFlow); version control; databases; deep learning architectures; and relevant informatics software.
• Consistent record of outstanding performance reflected in publications, patents, or high‑impact internal reports where applicable.

Preferred Qualifications

• Breadth across domains such as protein modeling/design, proteomics/mass spec, cheminformatics/docking/ADMET, biophysics/MD, and LLM/agentic automation.
• MLOps expertise: data contracts and lineage (e.g., DVC/LakeFS), experiment tracking (MLflow/W&B), secure AWS infrastructure (S3, Batch/ECS/EKS, SageMaker), Docker, IaC (Terraform/CDK), and CI/CD (GitHub Actions).
• Generative modeling (diffusion/flow/VAEs) for sequences, graphs, or 3D structures; docking rescoring (e.g., gnina, DiffDock) and pose quality metrics.
• Workflow orchestration (Airflow/Prefect/Argo), data warehouses (Redshift/Snowflake), vector search (FAISS/pgvector), and lightweight internal tools (FastAPI, Streamlit/Gradio).
• Experience mentoring early hires, acting as interim Head of ML, and contributing to hiring plans and interview processes at startups.

WHY PIONEERING INTELLIGENCE

• Operate at the frontier: Build and deploy AI/ML that directly powers discovery and decision making across multiple new ventures.
• Own the full stack: From scoping and data contracts to models, MLOps, and internal UIs—ship end‑to‑end systems that scientists rely on daily.
• Compound impact: Convert one‑off wins into shared libraries and templates adopted across the PI portfolio.
• Work with founders: Partner closely with venture leadership and PI platform engineers; influence strategy through hands‑on delivery.
• Grow fast: Stretch across domains, take on situational leadership, present at conferences, and help shape first ML teams.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

The salary range for this role is $208,000 - $286,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience.

Pioneering Intelligence currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Pioneering Intelligence’s good faith estimate as of the date of publication and may be modified in the future.