The Senior Manager, Internal Communications will manage Flagship's internal communications channels, including creating and distributing clear, compelling content through Flagship's intranet, newsletters, email and messaging platforms, digital signage, executive communications, and more.

Responsibilities:

• Develop and execute internal communications plans that support Flagship's business and employee-related needs
• Create clear, compelling content for internal channels
• Manage Flagship's intranet and develop editorial calendars and communication priorities
• Partner with leadership, HR, and functional teams to ensure consistent communication around strategic initiatives
• Design and manage communication campaigns that support employee engagement, inclusion, onboarding, and internal brand storytelling
• Serve as a trusted communications partner to internal stakeholders
• Establish best practices and feedback loops to evaluate the effectiveness of internal communications
• Identify opportunities to strengthen the employee experience through storytelling, executive visibility, recognition programs, and two-way communication
• Maintain internal communications governance and editorial standards
• Support crisis and issues communications planning

Qualifications:

• Bachelor's degree in Communications, Public Relations, Journalism, English, Marketing, Human Resources, or a related field
• At least 7 years of progressive experience in internal communications, corporate communications, employee communications, change communications, or a related discipline
• Demonstrated success developing and executing internal communications plans
• Strong creative instincts and a willingness to challenge conventional approaches
• Exceptional writing, editing, and storytelling skills
• Experience managing complex communications projects involving multiple stakeholders
• Strong understanding of internal communications channels, editorial planning, and employee engagement best practices

Behaviors:

• Thrives in ambiguity
• Highly adaptable
• Acts with ownership
• Collaborates generously
• Exercises sound judgment
• Balances speed with excellence
• Communicates with clarity and confidence
• Embraces pioneering thinking

Flagship Pioneering and its ecosystem companies are committed to equal employment opportunity.

The salary range for this role is $128,000 - $176,000.

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This role sits at the intersection of hydrology, weather and climate science, and large-scale machine learning. The Sr. Scientist will help shape how hydrologic process understanding, climate data, and modern ML methods are brought together in next-generation prediction systems, with emphasis on scientifically grounded model development and evaluation.

The individual in this role will work across science, ML, engineering, and data teams to define research priorities, guide model training and benchmarking, build reproducible workflows, and translate scientific insight into scalable model development.

Key Responsibilities:

• Lead scientific and technical efforts at the intersection of hydrology, climate science, and machine learning.
• Help define research priorities, modeling directions, and evaluation strategies for next-generation climate and environmental prediction systems.
• Contribute to the development and improvement of ML-based modeling approaches informed by physical and Earth system science.
• Work with large-scale climate, weather, hydrology, and remote sensing datasets to support model development and scientific analysis.
• Build and oversee reproducible workflows for data processing, model training, benchmarking, and validation.
• Collaborate closely with research, engineering, and data teams to translate scientific goals into scalable technical execution.
• Guide assessment of model performance, uncertainty, and scientific robustness across a range of environmental conditions and applications.
• Communicate findings through internal reviews, external collaborations, publications, and technical presentations.
• Help shape the broader scientific roadmap and contribute to team growth and cross-functional leadership.

Professional Experience & Qualifications:

• PhD in machine learning, computational science, Earth science, atmospheric science, hydrology, AI, computer science, or a related quantitative discipline.
• 5+ years of postdoctoral, industry, or applied research experience in climate ML, weather ML, hydrologic modeling, Earth system modeling, or a closely related field.
• Demonstrated experience with ML-accelerated weather, climate, or hydrology models, with a strong publication track record in the area.
• Experience working with large climate datasets, including reanalysis products, remote sensing datasets, observational datasets, and model output.
• Experience with the computational infrastructure required to manage, preprocess, and train on large-scale climate datasets, preferably in the AWS ecosystem.
• Strong programming skills in Python and experience with modern ML frameworks such as PyTorch.
• Background in scientific ML, spatiotemporal modeling, data assimilation, hybrid physics-ML methods, or related approaches is strongly preferred.
• Ability to design rigorous evaluation frameworks, performance metrics, and benchmarking approaches for environmental prediction systems.
• Strong technical writing and communication skills, including reports, presentations, and peer-reviewed publications.
• Demonstrated ability to work independently in fast-paced, ambiguous environments while collaborating effectively across disciplines.
• Experience leading cross-functional scientific efforts, mentoring researchers, or helping define research roadmaps is preferred.

Location: Cambridge, MA or Boulder, CO (some travel to Cambridge, MA based headquarters if working from Colorado)

Salary: $127,000 - $205,900 (Colorado) and $168,000 - $231,000 (Massachusetts)

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The role will entail serving as an operations thought partner to each Origination Team Leader, ensuring excellence in the execution of scientific innovation and entrepreneurial company creation, by e.g., supporting Flagship-wide corporate processes, leading program management best practices across Origination Team portfolio companies and initiatives’ implementation, and development of Origination talent and culture.

This highly visible position is responsible for coordinating organizational execution, optimizing communication, workflows, resource management, and productivity of the Origination Teams – in service of highly productive and effective value creation across a portfolio of companies.

Responsibilities:

• Work with the Origination Team Leaders to set organizational priorities.
• Play a cross functional leadership role in identifying, designing and implementing strategic initiatives that impact the portfolio.
• Partner with Flagship Pioneering (FSP) functions and groups such as Finance, HR, Legal, IT, Business Development, CEO office, Pioneering Medicines, Pioneering Intelligence, and other advisory groups to ensure effective collaboration with Origination Teams’ portfolio companies.
• In collaboration with the finance team, HR, and the individual originators, provide visibility into and guidance on the overall resource allocation across all projects and companies in the portfolios.
• As needed and on a temporary basis, partner with a specific portfolio company leadership team to ensure effective, timely execution of complex projects leading to the achievement of value creation milestones.
• Set agendas and cadence for Origination Team meetings and ensure successful preparation and execution for these meetings.
• Prepare or contribute to the preparation of high-quality reports, briefings, presentations, etc. for meetings involving the Origination Team Leaders and other FSP Leaders.
• Develop and utilize key program management tools, processes, AI agents and tools to ensure efficient tracking and reporting.
• Develop, maintain and disseminate current best practices for ideation, company creation, launch and fundraising preparedness.
• Enable transparent and candid communication across the Origination Team and portfolio companies.
• Identify opportunities for Origination Team projects and companies to collaborate with and draw upon FSP capabilities and ecosystem of companies.
• In collaboration with FSP Talent Acquisition and Human Resources leaders, ensure timely hiring and onboarding of new Origination Team members.
• Guide people resource allocation across the portfolio to align with bandwidth, development and execution priorities.
• Actively participate in culture development and sustainability.
• Work closely with Finance partners on Origination Team budgeting.
• Identify issues that impact the successful execution of plans.
• Bring high energy and team spirit that leads to a highly functioning team.

Qualifications and skills:

• Master’s or Bachelor’s degree in life sciences or engineering disciplines preferred, with related or equivalent work experience considered.
• 7+ years of industry/biotech experience in the fields of drug discovery, drug development, or engineering related to life sciences tools.
• Scientific/research background, preferably with broad disease-area expertise.
• Experience across multiple therapeutics modalities a plus.
• Strong understanding of the biopharmaceutical landscape, and/or the life sciences tools/technologies space.
• Program/Project/Portfolio Management Experience with project management tools and dashboards preferred.
• Strategic mindset with operational rigor.
• Demonstrated ability to work effectively with cross-functional teams and manage multiple projects.
• Exceptional leadership skills, EQ, and ability to lead through.
• Exceptional communication skills.
• Strong financial literacy.
• Passion for growth and development, with openness to both giving and receiving constructive feedback.
• Ability to work onsite in Cambridge MA in person preferably 5 days a week, with flexibility for 4 days.

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In this role, you will explore emerging areas of biology and technology, develop original venture hypotheses, design rapid experiments to test the most important assumptions, and help translate the strongest ideas into new companies.

Key Responsibilities:

• Contribute to and lead Flagship explorations to rapidly assess interesting areas of science and develop novel, actionable and high-value venture hypotheses to improve sustainability, productivity and profitability of growers.
• Outline key scientific questions to enable venture hypotheses and develop experimental plans to rapidly create value and pressure test ideas.
• Identify, build, and maintain relationships with appropriate academic KOLs and thought experts.
• Understand IP landscape, formulate initial strategy, and write seminal applications for the technology and company.
• Develop corporate strategy and operations plan for the company.
• Develop audience-specific pitches for company.
• Support business development activities and continue to evolve the story.
• Manage and coordinate early scientific and IP employees.
• Manage & lead scientific team (internal or external) and daily research.
• Become an institutional subject matter expert and transfer knowledge to active company team.

Professional Experience and Qualifications:

• PhD from a top university with expertise in plant biology, plant pathology, plant physiology, biochemistry or genetics.
• At least 4 years of relevant experience beyond doctoral training, or an equivalent record of progressively responsible work and demonstrated independent leadership.
• Knowledge and understanding of cropping systems and agricultural product development.
• Understanding of the agricultural value chain and agribusiness structures.
• Proven ability to rapidly become conversant in new areas of plant science and agronomy.

The salary range for this role is $155,000 - $210,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Flagship Pioneering currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits.

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You will help drive every facet of company origination from the early stages including identification and recruitment of critical partners and advisors, establishment of foundational IP, hiring and leadership of the early scientific team, and establishment of working norms and culture for the team.

Key Responsibilities:

• Contribute to and lead Flagship explorations to rapidly assess interesting areas of science and develop novel, actionable and high-value venture hypotheses
• Outline key scientific questions to enable venture hypotheses and develop experimental plans to rapidly create value and pressure test ideas
• Identify, build, and maintain relationships with appropriate academic KOLs and thought experts
• Understand IP landscape, formulate initial strategy, and write seminal applications for the technology and company
• Develop corporate strategy and operations plan for the company
• Develop audience-specific pitches for company
• Support business development activities and continue to evolve the story
• Manage and coordinate early scientific and IP employees
• Manage & lead scientific team and daily research
• Become institutional subject matter expert and transfer knowledge to active company team

Professional Experience and Qualifications:

• STEM-based PhD or MD from a top university
• 5 or more years of experience post PhD in life sciences biotech, start-up or entrepreneurial activities

Important skills and capabilities include:

• Proven ability to rapidly become conversant in new areas of science
• Ability to define a clear and compelling value proposition of a given scientific opportunity
• Excellent analytical skills and ability to synthesize & communicate complex information rapidly and effectively
• Obsession with mastering the details without losing sight of the big picture
• Energetic self-starter with strong presence and the ability to work effectively in an entrepreneurial environment

Benefits:

• Healthcare coverage
• Annual incentive program
• Retirement benefits
• Broad range of other benefits

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Key Responsibilities:

• Perform routine microbiology operations including media preparation, agar plate preparation, and aseptic technique
• Maintain rigorous good laboratory practices (GLP) and contribute to a strong culture of safety and operational excellence
• Generate and maintain microbial cell banks and inventory records
• Support routine laboratory maintenance, equipment upkeep, and troubleshooting
• Design and execute PCR for cloning, mutagenesis, and genotyping applications
• Perform DNA assembly using Golden Gate, Gibson, and other modern cloning techniques
• Run and analyze agarose gels; perform plasmid preparation (mini-prep, maxi-prep) and nucleic acid quantification
• Perform sequencing analysis using state-of-the-art NGS technologies and software
• Express engineered protein constructs across bacterial, yeast, and/or fungal expression systems
• Analyze protein expression, purity, and integrity via SDS-PAGE and/or Western blot
• Support protein purification workflows using standard chromatography and related techniques
• Support high-throughput screening workflows for functional characterization of protein variants
• Collaborate closely with the Protein Sciences team members and cross-functional partners
• Maintain clear, well-organized experimental records and communicate results effectively to the team

Professional Experience & Qualifications:

• Bachelor’s degree (with 2-5 years of relevant research experience) in Bioengineering, Biochemistry, Microbiology, Biotechnology, or related discipline
• Hands-on experience with core microbiology operations: media prep, agar plate prep, aseptic technique, and general GLP
• Strong hands-on experience with molecular cloning: design, PCR, gel electrophoresis and analysis, isolation, Golden Gate, Gibson assembly, and related techniques
• Experience with protein analysis techniques including SDS-PAGE and Western blot
• Strong communication, organizational and documentation skills
• Ability to independently execute experiments and troubleshoot routine issues

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This role will be a foundational hire supporting formulation and product development efforts, focusing on developing, screening, and optimising dried powder formulations. The individual will play a critical hands-on role in executing formulation strategies using techniques like lyophilisation and spray drying.

Key responsibilities:

• Design and execute mixing protocols for solid and liquid mixtures, optimising for uniformity, stability, viscosity, temperature, and pH.
• Execute protocols for producing dried formulations by spray drying, freeze drying, and milling operations.
• Characterise dried powder products using analytical and physical methods to inform formulation and process decisions.
• Support process development and scale-awareness by documenting critical parameters and generating data relevant to future scale-up.
• Maintain clear, rigorous experimental documentation and generate high-quality summaries, figures, and datasets.
• Contribute to establishing long-term formulation workflows, best practices, and standards.
• Design, conduct, and maintain stability studies of packaged formulations.
• Communicate results, roadblocks, errors, ideas, and breakthroughs to team members.

Professional experience and qualifications:

• BS or MS degree in chemistry, chemical engineering, pharmaceutical sciences, materials science, biotechnology, or a related discipline.
• RA I: BS with up to 2 years of relevant industry experience.
• RA II: BS with 2-4 years or MS with 0–2 years of relevant industry experience.
• Grounding in physical chemistry or materials science principles relevant to dried systems is preferred.
• Familiarity with analytical and characterisation techniques for powders and solid-state materials is preferred.
• Proven ability to work independently in a dynamic, early-stage research environment is preferred.

The salary range for this role is $65,000 - $93,500.

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The ideal candidate is highly hands-on, technically rigorous, and comfortable operating independently in a dynamic research setting. This role requires strong practical experience with bench-scale bioreactors, microbial culture techniques, fermentation analytics, and laboratory operations.

Key Responsibilities:

• Operate, monitor, and troubleshoot shake flask and bench-scale microbial fermentation systems, executing batch and fed-batch experiments in support of process development objectives.
• Prepare media, inoculum, and feed solutions for fermentation runs.
• Set up, sterilize, calibrate, and maintain fermentation reactors.
• Perform routine analytical work, including OD measurements and metabolite analysis.
• Contribute to safe, rigorous laboratory operations.
• Collaborate closely with strain engineering, downstream, and analytical teams to support integrated process development as the platform scales.

Professional Experience & Qualifications:

• Hands-on experience in microbial fermentation, microbiology, bioprocess development, or related laboratory environments
• Experience in operating and maintaining bench-scale bioreactors for microbial fermentation workflows, with strong understanding of aseptic technique and microbial culture handling
• Strong organizational and documentation skills
• Ability to independently execute experiments and troubleshoot routine process issues

Preferred Experience:

• Experience with fed-batch fermentation processes
• Familiarity with HPLC-based analysis of sugars, organic acids, or fermentation metabolites
• Experience with recombinant protein expression systems
• Experience supporting process optimization or scale-up activities
• Familiarity with fermentation data analysis and process monitoring tools

The salary range for this role is $65,000 - $93,500.

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The Associate will gather, review, and integrate information from multiple domains to advance product concept explorations. This involves consulting with internal and external experts, shaping hypotheses, and presenting developed concepts to stakeholders.

Key Responsibilities:

• Lead and contribute to high-impact product concept explorations across various therapeutic areas.
• Generate and refine transformative clinical outcomes, proposing scopes and objectives for each exploration.
• Collaborate with a small team to generate diverse product concepts, subjecting ideas to rigorous validation and expert critique.
• Define and articulate selected product concepts, detailing the platform capabilities and technologies required to enable execution.
• Engage in the prioritization process of compelling concepts for development into asset-focused companies.
• Build and maintain strong relationships across Flagship and its platform companies to understand their capabilities.
• Embody the 'Paranoid Optimist' persona: balance creative and unconstrained thinking with structured exploration methods designed to achieve transformational clinical outcomes.
• Foster a collaborative, high-energy team environment.

Qualifications:

• PhD, Medical Degree (MD or DO or equivalent), or MD/PhD
• 2+ Years of experience post PhD
• Significant research experience, including peer-reviewed publications.
• Basic scientific training and/or recognized scientific expertise in a relevant field.
• Clinical and drug development experience are advantageous but not required.
• Highly resourceful and effective in uncertain circumstances.
• Strong prioritization and adaptive synthesis skills.
• Comfortable venturing into new scientific and clinical spaces.
• Willingness to consider unconventional approaches to challenging problems.
• Proven ability to work collaboratively within and across functions and teams.
• Excellent written and verbal communication skills, with good conflict resolution capabilities.
• Ability to distill and synthesize information for diverse audiences.

What we offer:

• Impactful role in a company recognized for transformative contributions.
• Dynamic startup culture with inspiring colleagues and leaders.
• Support for groundbreaking advancements in healthcare and sustainability.
• Opportunities for professional growth in an innovative environment.
• Comprehensive employee benefits and rewards program

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Key Responsibilities:

• Own the agentic platform end to end, from research prototype to production, building the durable orchestration layer for long-running, multi-stage scientific workflows.
• Architect workflow orchestration, evaluation frameworks, and event-driven distributed systems that deliver scale, resilience, and reliability.
• Define SDK abstractions and API contracts between model and agent outputs and downstream consumers, decoupling rapid model iteration from product stability and reducing integration friction across teams.
• Deliver infrastructure-as-code reference implementations (AWS CDK, Terraform, containerized services) and transform exploratory AI proof-of-concepts into hardened, reusable patterns adopted across product domains.
• Own platform cost-efficiency and scalability while preserving the performance and accuracy that our experiments and end users require.
• Explore and template agent design and deployment patterns, and set technical standards, code quality, and architectural direction for the platform.
• Partner across teams (modeling and agent teams, product) to align on integration points, dependency timelines, and delivery, and mentor engineers and scientists.

Professional Experience & Qualifications:

• B.S. or M.S. in Computer Science, Engineering, or a related field, with 10+ years of professional software development experience.
• Demonstrated track record architecting and maintaining large-scale distributed systems in production at technology companies.
• Deep expertise in workflow orchestration and event-driven architecture, including stateful execution, idempotency, durable retries, and replay.
• Strong cloud-native engineering on AWS with infrastructure-as-code, containerization, and autoscaling.
• Proven ability to take systems from prototype to hardened, observable, operationally excellent production.
• Experience designing SDKs, APIs, and data contracts that serve multiple downstream teams.
• Excellent communication skills and the ability to build organizational consensus around platform decisions.
• Collaborative and empathetic working style: listens to understand the needs of scientists, engineers, and downstream teams, and leads through influence.
• Proven track record setting technical strategy and direction for a growing engineering organization, and mentoring engineers in a fast-moving environment.

Why Join Us:

• Own the platform foundation for a category-defining autonomous scientific reasoning engine.
• Take frontier agentic AI from research to dependable production at scale.
• Collaborate with visionary thinkers and top-tier researchers across Flagship’s ecosystem.
• Set the technical standards that the broader platform and product teams build on.
• Shape the future of AI-powered discovery in a role that combines deep engineering excellence with direct human-health impact.

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As a Lead, you will have the unique opportunity to shape our biological reasoning efforts on both the technical and application levels. You will be a hands-on lead for a team of talented machine learning scientists innovating on model architectures that will create best-in-class biological reasoning engines.

Key Responsibilities:

• Own the roadmap: lead the project from architecture and data exploration through model readiness, benchmarking, refinement, and agentic integration.
• Guide technical architecture through a biological lens: guide multi-modal, multi-scale model design and ensure the system can ingest and reason over modalities relevant to mechanism-of-action reasoning, target discovery, perturbation biology, pathway reasoning, protein function, and autonomous discovery workflows.
• Translate biology into model and evaluation requirements: ensure model development is driven by biological relevance that enables real scientific workflows, not just benchmark performance or technical elegance.
• Build the engine for a novel science platform: develop and integrate reasoning engines into Pioneering Intelligence's AI Scientist platform for autonomous science.
• Source and shape portfolio use cases: interface with Flagship teams and portfolio company end-users to identify use cases, source data assets, define success criteria, and create end-user feedback loops for reasoning engines that are scientifically meaningful, tractable, and answer high-value questions with real world application.
• Communicate the impact: disseminate strategic direction and scientific results to Flagship stakeholders and in public forums.

Qualifications:

• Industry-leading expertise in modern LLMs, multimodal modeling, representation learning, fine-tuning, post-training, benchmarking, and ML systems.
• Deep experience in computational biology, AI-for-biology, AI-enabled drug discovery, translational data science, biological foundation models, or scientific discovery platforms.
• Demonstrated ability to work with scientists or biotech teams to scope high-value use cases, identify data assets, define success criteria, and translate discovery needs into technical execution plans.
• Working knowledge of biological data modalities such as genomics, transcriptomics, perturbation data, protein sequence, protein structure, pathways, imaging, pathology, or time-series biological data.
• Strong judgment around mechanism-of-action reasoning, target discovery, perturbation biology, scientific credibility, model limitations, hallucination risk, interpretability, and validation.
• Experience leading small, high-caliber technical teams through ambiguous scientific or product problems.
• Ability to communicate clearly with ML researchers, data engineers, portfolio-company scientists, executives, and venture creation leaders.
• Comfort operating in an entrepreneurial environment where the goal is not only to build a model, but to create a new capability that can reshape company creation and scientific discovery.

Requirements:

• PhD, MS, or equivalent experience in computational biology, machine learning, bioengineering, computer science, systems biology, quantitative biology, translational science, or a related field.
• Experience in biotech, pharma, AI-for-science, AI drug discovery, venture creation, or a platform organization serving multiple scientific programs.
• Experience deploying AI/ML for biology systems into scientific workflows at enterprise scale.
• Experience with LLMs, biological foundation models, protein language models, genomic foundation models, scientific agents, or AI discovery platforms.
• Experience working across multiple internal and external customers, therapeutic programs, or discovery teams.

Benefits:

• Healthcare coverage
• Annual incentive program
• Retirement benefits
• Broad range of other benefits

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You will define and deliver pragmatic AI strategies, oversee method and platform development, and ensure rigor in model development, benchmarking, scaling, and reporting. You will manage cross-functional contributors, 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.
• Technical Ownership: Take a specialized technical role on project teams to oversee method development, pipeline development, and LLM-based agent/workflow design.
• 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.
• Planning & Resourcing: Contribute to project planning, including budgets, resources, and timelines.
• Landscape & Strategy: Independently scout emerging literature and the AI/ML landscape.
• Representation & Community: Represent PI to portfolio companies and external partners.
• Communication & Influence: Influence the course of projects and technical approaches.

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.
• 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.

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, experiment tracking, secure AWS infrastructure, Docker, IaC, and CI/CD.

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.

Benefits:

• Healthcare coverage
• Annual incentive program
• Retirement benefits
• Broad range of other benefits

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