{"id":73371,"url":"https://alion.io/job/flagship-pioneering-principal-scientist-machine-learning-biomolecules","title":"Principal Scientist, Machine Learning - Biomolecules","company":{"id":8393,"name":"Flagship Pioneering","domain":"flagshippioneering.com","url":"https://alion.io/company/flagshippioneering","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":8,"ghost_share":0,"stale_share":0.5,"repost_share":0.125,"time_to_fill_p50_days":62,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Cambridge, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":208000,"max":286000,"currency":"USD","period":"year","gross":null,"usd_annual":286000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"DVC","optional":true},{"name":"FAISS","optional":true},{"name":"FastAPI","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Gradio","optional":true},{"name":"JAX","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prefect","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Snowflake","optional":true},{"name":"Streamlit","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-06-10T01:44:20Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-11-05T07:25:11Z","board_verified":true,"closed_at":null,"days_open":148,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":148},"description":"ABOUT PIONEERING INTELLIGENCE \nPioneering 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.\nTHE ROLE\nWe 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. \nKEY RESPONSIBILITIES\nProgram 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. \nTechnical 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. \nBest Practices: promote operational excellence in AI projects by educating cross-functional collaborators. \nTeam Leadership: Manage and/or coordinate internal and external scientists/engineers and crossfunctional project teams as applicable; mentor early hires; support recruiting and interview. \nPlanning & Resourcing: Contribute to project planning, including budgets, resources, and timelines; surface risks and tradeoffs early with clear options. \nLandscape & 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. \nRepresentation & Community: Represent PI to portfolio companies and external partners; act as a recognized subject matter expert; actively participate in scientific conferences and meetings. \nCommunication & Influence: Influence the course of projects and technical approaches; adapt and present complex findings to diverse audiences to support meaningful interpretation and action. \nPROFESSIONAL EXPERIENCE & QUALIFICATIONS \nMaster’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. \nExperience driving results directly or indirectly through teams of engineers/scientists in dynamic, fastpaced, entrepreneurial, and technical environments. \nClear evidence of sustained independent thought and creativity driving high impact, cross disciplinary AI/ML projects. \nSuccessful track record of leadership and contribution to decision making on progression of AI/ML models within projects or programs. \nDepth 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. \nConsistent record of outstanding performance reflected in publications, patents, or high impact internal reports where applicable \nPreferred Qualifications \nBreadth across domains such as protein modeling/design, proteomics/mass spec, cheminformatics/docking/ADMET, biophysics/MD, and LLM/agentic automation. \nMLOps 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). \nGenerative modeling (diffusion/flow/VAEs) for sequences, graphs, or 3D structures; docking rescoring (e.g., gnina, DiffDock) and pose quality metrics. \nWorkflow orchestration (Airflow/Prefect/Argo), data warehouses (Redshift/Snowflake), vector search (FAISS/pgvector), and lightweight internal tools (FastAPI, Streamlit/Gradio). \nExperience mentoring early hires, acting as interim Head of ML, and contributing to hiring plans and interview processes at startups. \nWHY PIONEERING INTELLIGENCE\nOperate at the frontier: Build and deploy AI/ML that directly powers discovery and decision making across multiple new ventures. \nOwn the full stack: From scoping and data contracts to models, MLOps, and internal UIs-ship endtoend systems that scientists rely on daily. \nCompound impact: Convert one off wins into shared libraries and templates adopted across the PI portfolio. \nWork with founders: Partner closely with venture leadership and PI platform engineers; influence strategy through hands on delivery. \nGrow fast: Stretch across domains, take on situational leadership, present at conferences, and help shape first ML teams. \nABOUT FLAGSHIP PIONEERING:\nFlagship 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. \nFlagship 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.\nAt Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.\nWe 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.\nWe 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 backgroundand interest in Flagship.\nRecruitment & 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.\nThe 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.\nPrivacy 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. 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