Senior / Principal Scientist - Translational Modeling & Decision Science

About Pioneering IntelligencePioneering 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.About the RolePioneering Intelligence(PI) is buildingAIsystemsthataccelerate translationaldecision making.This forward-deployed rolebridgesthegapfromcapability toimpactbyleveragingPI technologies totakeontranslational challengesacross Flagship’stherapeuticportfolio,deliveringvaluethroughprograms andbusiness decisionswhilereturning insights that improvetheAIplatform. The successful candidatewill reducethe scientific uncertainty behind Flagship’s drug development and investment decisions through mechanistic modeling and quantitative analysis. Theindividual will work acrossthe portfolio rather thanwithin asingle program,takingon diligence questions, milestone decisions, and competitive assessments as they arise, matchinganalytical rigor to the consequence of each decision, and flaggingwhen one program’s finding is relevant to another.They 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.ResponsibilitiesTranslational Prediction & Decision SupportProduce quantitative opinions across decision types and scenarios (due diligence,milestoneand program decisions, competitive and what-if analyses): decompose claims into testable components, evaluate against evidence, and deliver conclusions on the decision’s timelineDeliver 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 dimensionsTranslate scientific complexity into recommendations stakeholders can carry and defend in their own decisions, not just a number to take on trustCross-Portfolio Pattern RecognitionCarry insight between programs, flagging when one company’s translational risk is relevant to anotherPrioritize where predictive science creates the most decision value at each development milestoneDefine context-of-use for each engagement: what question, what decision, what credibility standard, what cost of being wrongMatch analytical rigor to decision consequence using regulatory credibility concepts (ICH M15, FDA MIDD) adapted for internal decisionsFeedback Loop into the Agentic PlatformTranslate field discoveries into product requirements for the Applied AI and Engineering teamsProvide domain-expert signal: define what good predictions look like, curate ground truth from real engagements, and evaluate output qualityPrototype novel modeling approaches to prove feasibility and define acceptance criteria before handoffReview autonomous outputs for scientific correctness and feed failure cases back asregressiontestsand custom benchmarks/evaluationsScientific Standards & ExecutionPersonally execute problems that require expert judgment: novel biology, new modalities, or high-consequence analysesSet quality standards on every engagement: rigorous evidence evaluation, transparent uncertainty quantification, reproduciblemethodologyCommunicate translational results in Flagship-internal forums and, whereappropriate, external onesDeliver structured retrospectives on engagements (scientific outcome, decision informed, value created, collaborator feedback)QualificationsRequiredPhD 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 immunologyDemonstratedexpertisebuilding mechanistic models for drug development decisions across multiple therapeutic areasAbility to translate scientific complexity into recommendations for non-technical decision-makerswith excellent communication skills and composure under pressureProficiencyin Python scientific computing (scipy,numpy, pandas) and numerical ODE integrationExperienceoperatingacross multiple concurrent programs and decision typesPreferredExperience applying frontier AI and LLM tools to drug development decisionsTranslational 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-makingExperience in venture-backed or platform-company environments where analysis supports investment decisionsABOUT 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.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.#LI-MB1The salary range for this role is $146,000 - $236,000. 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