Senior Principal Scientist Translational Modeling & Decision Science

About Pioneering Intelligence

Pioneering Intelligence builds on Flagship Pioneerings 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 Flagships 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.

About the Role

Pioneering Intelligence(PI) is buildingAIsystemsthataccelerate translationaldecision making.This forward-deployed rolebridgesthegapfromcapability toimpactbyleveragingPI technologies totakeontranslational challengesacross Flagshipstherapeuticportfoliodeliveringvaluethroughprograms andbusiness decisionswhilereturning insights that improvetheAIplatform.

The successful candidatewill reducethe scientific uncertainty behind Flagships drug development and investment decisions through mechanistic modeling and quantitative analysis.

Theindividual will work acrossthe portfolio rather thanwithin asingle programtakingon diligence questions milestone decisions and competitive assessments as they arise matchinganalytical rigor to the consequence of each decision and flaggingwhen one programs finding is relevant to willalsoserveas an expert test userfor the Applied AI and Engineering teams feeding field discoveries back as product requirements.

The role owns the credibility of its analyses: transparent uncertainty defensible assumptions and results a stakeholder can carry into their own decision. Therole also owns theidentification ofopportunities to close comprehension and trust gaps associated with complex agentic work products.

Responsibilities

Translational Prediction & Decision Support

• Produce quantitative opinions across decision types and scenarios (due diligencemilestoneand program decisions competitive and what-if analyses): decompose claims into testable components evaluate against evidence and deliver conclusions on the decisions timeline
• Deliver translational predictions with stated confidence and boundary conditions for milestone decisions (target engagement therapeutic window modality feasibility competitive differentiation)
• Quantify probability of pharmacological success by integrating uncertainty across compound mechanism and disease dimensions
• Translate scientific complexity into recommendations stakeholders can carry and defend in their own decisions not just a number to take on trust

Cross-Portfolio Pattern Recognition

• Carry insight between programs flagging when one companys translational risk is relevant to another
• Prioritize where predictive science creates the most decision value at each development milestone
• Define context-of-use for each engagement: what question what decision what credibility standard what cost of being wrong
• Match analytical rigor to decision consequence using regulatory credibility concepts (ICH M15 FDA MIDD) adapted for internal decisions

Feedback Loop into the Agentic Platform

• Translate field discoveries into product requirements for the Applied AI and Engineering teams
• Provide domain-expert signal: define what good predictions look like curate ground truth from real engagements and evaluate output quality
• Prototype novel modeling approaches to prove feasibility and define acceptance criteria before handoff
• Review autonomous outputs for scientific correctness and feed failure cases back asregressiontestsand custom benchmarks/evaluations

Scientific Standards & Execution

• Personally execute problems that require expert judgment: novel biology new modalities or high-consequence analyses
• Set quality standards on every engagement: rigorous evidence evaluation transparent uncertainty quantification reproduciblemethodology
• Communicate translational results in Flagship-internal forums and whereappropriate external ones
• Deliver structured retrospectives on engagements (scientific outcome decision informed value created collaborator feedback)

Qualifications

• PhD in a life sciences discipline with quantitative experience or in a quantitative life sciences discipline (pharmacometrics systems pharmacology computational biology biomedical engineering or equivalent) with 3 to 7 years of industry experience with strong knowledge of physiology molecular biology and immunology
• Demonstratedexpertisebuilding mechanistic models for drug development decisions across multiple therapeutic areas
• Ability to translate scientific complexity into recommendations for non-technical decision-makerswith excellent communication skills and composure under pressure
• Proficiencyin Python scientific computing (scipynumpy pandas) and numerical ODE integration
• Experienceoperatingacross multiple concurrent programs and decision types

Preferred

• Experience applying frontier AI and LLM tools to drug development decisions
• Translational breadth across drug modalities (small molecule biologic gene therapy novel platforms)
• Familiarity with regulatory credibility frameworks (ICH M15 FDA MIDD) and their application to internal decision-making
• Experience in venture-backed or platform-company environments where analysis supports investment decisions

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 humanitys 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 FORTUNEs 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 Companys annual list of the Worlds Most Innovative Companies. Learn more about Flagship at.

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 Pioneerings 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.

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The salary range for this role is $146000 - $236000. Compensation for the role will depend on a number of factors including a candidates 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 Intelligences good faith estimate as of the date of publication and may be modified in the future.

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