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Principal Scientist, Machine Learning

Pay
$208,000–286,000/yearAnnual period assumed — pay source
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. 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. Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.
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Work setting
Not stated
Employment
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What you’ll work on

Full posting
  • Lead several AI/ML and computational projects across preclinical, translational, and clinical R&D

  • Own the build, scaling, benchmarking, and maintenance of agentic systems combining ML and computational biology tools

  • Manage and coordinate internal and external scientists, engineers, and project teams; mentor early hires

  • Contribute to project planning, including budgets, resources, and timelines

  • Scout emerging AI/ML and agentic-AI literature and propose new R&D strategies

From the employer’s posting
Lead development, implementation, control, and reporting of several AI/ML and computational projects
Own the build, scaling, benchmarking and maintenance of agentic systems that combine ML and computational biology tools
Manage and/or coordinate internal and external scientists/engineers and cross functional project teams as applicable; mentor early hires
Contribute to project planning, including budgets, resources, and timelines
Independently scout emerging literature and the AI/ML and agentic-AI landscape; synthesize concepts to propose new development strategies

What you’ll bring

All qualifications

Preferred experience

  • Hands-on experience with agentic AI and orchestration frameworks (e.g., Pydantic AI, LangGraph, LangChain, CrewAI, AutoGen).
  • Experience integrating LLMs and model platforms, including Anthropic, OpenAI, Vertex AI, and Amazon Bedrock, and building evaluation and feedback-loop frameworks for agentic systems.
  • Familiarity with sandboxed code execution and agent harness development.
  • Experience with LLM observability and monitoring tooling and cost-governance / FinOps for AI infrastructure.
Qualification wording
Hands-on experience with agentic AI and orchestration frameworks (e.g., Pydantic AI, LangGraph, LangChain, CrewAI, AutoGen).
Experience integrating LLMs and model platforms, including Anthropic, OpenAI, Vertex AI, and Amazon Bedrock, and building evaluation and feedback-loop frameworks for agentic systems.
Familiarity with sandboxed code execution and agent harness development.
Experience with LLM observability and monitoring tooling and cost-governance / FinOps for AI infrastructure.
Education & alternatives
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, fastpaced, entrepreneurial, and technical environments.

About Flagship Pioneering

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond.

In the employer’s words · Read in context

Apply at Flagship Pioneering

Posting record

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Open 3 monthsWe first saw this posting 90 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Aug 6, 202690 days ago
Recorded sightings
77
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$208K–$286K against $166K–$240K, the middle half of what similar US postings state.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 90

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,331 similar postings that came down. Coming down is not always a hire.

Flagship Pioneering is hiring

14 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • ML Engineer hiring is picking up
  • Its jobs tend to stay up a long time
  • 7% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • PyTorch
  • TensorFlow
Where the posting names them
- 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.

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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 AI/ML and computational projects that accelerate pharmaceutical R&D across the preclinical, translational, and clinical continuum, working closely with Pioneering Medicines (PM) and across Flagship’s platform companies as part of the company origination process. You will define and deliver pragmatic AI strategies and oversee method and platform development across omics, biomolecule design, multi-o, systems biology, and scientific literature mining, ensuring rigor in model development, benchmarking, scaling, and reporting. Throughout, you will use LLM-based agents and agentic workflows as the connective tissue that ties these methods into end-to-end pipelines scientists rely on. You will manage cross functional contributors as applicable, influence company direction, and represent PI to venture teams, PM, and external partners. The ideal candidate is a self-directed serial deep diver - someone who can move from protein design one week to multi-omics or docking pipelines the next, and wire them together with agents that automate scientific workflows.  

KEY RESPONSIBILITIES

  • Program Leadership: Lead development, implementation, control, and reporting of several AI/ML and computational projects within assigned ventures and PM programs across the preclinical, translational, and clinical continuum, in line with broader strategic plans of PI and Flagship.  
  • Technical Ownership: Own the build, scaling, benchmarking and maintenance of agentic systems that combine ML and computational biology tools (genomics, biomolecule design, literature mining, system biology, etc) which serve as end-to-end systems for accelerating preclinical, translational and clinical R&D.
  • 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 and agentic-AI landscape; synthesize concepts to propose new development strategies and identify opportunities to accelerate R&D across the preclinical, translational, and clinical continuum for PI, PM, and venture portfolios.  
  • 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, fastpaced, 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 genomics, protein modeling/design, proteomics/mass spec, multi-omics, cheminformatics/docking/ADMET, biophysics/MD, and scientific literature mining, with the ability to connect them using LLM-based agents and agentic workflows.  
  • Hands-on experience with agentic AI and orchestration frameworks (e.g., Pydantic AI, LangGraph, LangChain, CrewAI, AutoGen).  
  • Experience integrating LLMs and model platforms, including Anthropic, OpenAI, Vertex AI, and Amazon Bedrock, and building evaluation and feedback-loop frameworks for agentic systems.  
  • Familiarity with sandboxed code execution and agent harness development.  
  • Experience with LLM observability and monitoring tooling and cost-governance / FinOps for AI infrastructure.  

 

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.
     

ABOUT FLAGSHIP PIONEERING:

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies 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.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

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.

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.

 

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.

 

Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com. 

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