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Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others.</p>\n<h3>About the Position</h3>\n<p>As a Senior Software Engineer at Formation Bio, you will build high-leverage software across the organization. You will turn ambiguous problems into products and systems that help people, applications, AI Enabled Employees, and Agents make better decisions and move faster.</p>\n<p>This is an AI-native engineering role. You use modern AI and agentic development tools as a core part of how you explore, build, test, and operate software. You will also help create software that incorporates AI responsibly, with the interfaces, data access, evaluation, and operational controls needed to make these systems useful in practice.</p>\n<p>Our products and priorities evolve quickly as we learn. You will be expected to make progress with incomplete information, identify the highest-value path forward, communicate tradeoffs clearly, and reorient quickly when new information changes the priority. This role has a backend and systems center of gravity. We value full-stack range, with a primary focus on backend, systems, product, and AI engineering.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own meaningful product or platform outcomes from problem definition through design, implementation, launch, and iteration.</li>\n<li>Build and operate production services, APIs, integrations, databases, asynchronous workflows, and distributed systems.</li>\n<li>Build software for people, applications, AI Enabled Employees, and Agents, including the tools, APIs, permissions, state, observability, and failure handling required for reliable use.</li>\n<li>Design and ship AI-enabled and agentic workflows, including tool use, retrieval, data access, evaluation, and appropriate human review.</li>\n<li>Use LLMs and agentic coding systems daily for exploration, prototyping, implementation, testing, debugging, documentation, and automation while maintaining a high bar for validation.</li>\n<li>Partner with Data Engineering on application data models, data products, data contracts, and access patterns.</li>\n<li>Partner with Data Science on ML-powered capabilities, model interfaces, evaluation, and production integration.</li>\n<li>Partner with SRE on deployment, reliability, observability, security, and infrastructure decisions.</li>\n<li>Make pragmatic tradeoffs between speed, quality, maintainability, and future flexibility. Use engineering rigor proportional to the risk and context of the system.</li>\n<li>Reprioritize quickly as new information changes the highest-value path, and communicate decisions and tradeoffs clearly to technical and non-technical partners.</li>\n<li>Review designs and code, mentor engineers, and raise the bar for product judgment and engineering quality.</li>\n</ul>\n<h3>About You</h3>\n<ul>\n<li>5+ years of experience building and shipping production software, or equivalent senior-level experience.</li>\n<li>Experience in pharmaceutical, biology, and/or biotechnology software and data is a strong plus.</li>\n<li>Strong backend and systems engineering fundamentals, including APIs, distributed systems, databases, cloud services, and asynchronous workflows.</li>\n<li>Daily experience using AI tools, LLMs, or agentic development systems as part of the engineering workflow.</li>\n<li>Experience building AI-enabled software, agentic workflows, retrieval systems, tool integrations, or other ML-powered products is a strong plus.</li>\n<li>Familiarity with ML concepts such as training versus inference, embeddings, retrieval, evaluation, data quality, and model limitations is a plus. Deep ML research experience is not required.</li>\n<li>Strong product judgment and the ability to make progress with incomplete information, identify high-value problems, and adapt quickly as priorities change.</li>\n<li>Experience operating production software with appropriate testing, observability, security, and follow-through after launch.</li>\n<li>We value full-stack range, with a primary emphasis on backend, systems, product, and AI engineering.</li>\n<li>Exceptional communication and collaboration skills across Product Engineering, Data Engineering, Data Science, SRE, and non-technical partners.</li>\n</ul>\n<p>Total Compensation Range: $185,500 - $232,000</p>","enriched_at":1789769216647},{"id":"job_e5179f64-985","title":"Senior Site Reliability Engineer","source_url":"https://job-boards.greenhouse.io/formationbio/jobs/8213744","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Formation Bio is seeking a Senior Site Reliability Engineer to build and operate the infrastructure, delivery systems, and operational practices that allow their engineering organization to ship reliable software quickly and safely.</p>\n<p>The ideal candidate will have 5+ years of relevant experience in Site Reliability Engineering, infrastructure, systems, DevOps, or a similar discipline. They will work across cloud infrastructure, developer platforms, observability, and production workloads, including product applications, internal tools, data systems, and ML and AI workloads.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the infrastructure and operational platform for shared engineering workloads</li>\n<li>Build and operate secure, observable, reliable infrastructure for product applications, containerized services, internal tools, data systems, ML pipelines, inference, and agentic software</li>\n<li>Research, develop, and maintain core AWS infrastructure and additional cloud outposts</li>\n<li>Create, review, maintain, and optimize infrastructure as code, CI/CD pipelines, and reusable platform patterns</li>\n<li>Establish strong operational practices, including SLOs, monitoring, alerting, runbooks, incident response, advanced diagnostics, root cause analysis, and post-incident follow-through</li>\n<li>Work with Product engineering, Data Engineering, and Data Science to evaluate, negotiate, and implement architecture and infrastructure for product software, data systems, model training, and inference</li>\n<li>Use AI tools to accelerate infrastructure development, investigate incidents, improve documentation, build automation, and make operational improvements</li>\n<li>Participate in the support rotation and incident response</li>\n<li>Write and review requirements, design documents, and operating procedures</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of relevant experience in Site Reliability Engineering, infrastructure, systems, DevOps, or a similar discipline</li>\n<li>Production experience operating cloud infrastructure and distributed systems</li>\n<li>Experience with advanced diagnostics, incident response, root cause analysis, observability, and automation</li>\n<li>Experience with AWS and Snowflake</li>\n<li>Working experience with Docker, GitHub, Kubernetes, Python, Terraform or OpenTofu, and virtual networking</li>\n<li>Daily fluency with AI tools, including LLMs and agentic coding systems</li>\n<li>Exceptional collaboration and communication skills</li>\n</ul>","enriched_at":1789769192441},{"id":"job_b2750ab9-045","title":"Senior Data Engineer","source_url":"https://job-boards.greenhouse.io/formationbio/jobs/8213713","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<h3>About Formation Bio</h3>\n<p>Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.</p>\n<p>Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others.</p>\n<h3>About the Position</h3>\n<p>As a Senior Data Engineer at Formation Bio, you will build the trusted data systems that support clinical operations, drug asset evaluation, business development, analytics, and machine learning through AI Enabled Employees and Agents. You will work across clinical, operational, and third-party data sources to design and operate reliable ingestion pipelines, transformations, data models, and data products.</p>\n<p>This role sits at the intersection of Product Engineering, Data Engineering, and Data Science. You will help shape how application data is modeled and exposed, own shared data models and production data products, and prioritize data platform work against clinical and business needs. You will work closely with Product Engineering on application data models and contracts, with Data Science on training datasets and ML use cases, and with human and AI consumers of the data platform.</p>\n<p>A data product is not complete merely because it is technically correct or available in a warehouse. It should be understandable to people, usable by applications, useful to Data Science, and structured so AI Enabled Employees and Agents can access it reliably and safely.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Design and operate production data systems that ingest clinical, operational, and third-party vendor data into reliable, queryable data products.</li>\n<li>Own shared and canonical data models, data contracts, transformations, orchestration, warehouse models, and downstream interfaces.</li>\n<li>Partner with Product Engineering on application data models, source-system contracts, APIs, events, and data access patterns.</li>\n<li>Partner with Data Science on productionized training datasets, feature pipelines, data interfaces, and ML use cases.</li>\n<li>Turn recurring data cleaning, normalization, and transformation work into versioned, tested, observable, and maintainable production pipelines.</li>\n<li>Build data products for clinical operations, asset evaluation, Business Development, analytics, machine learning, and AI Enabled Employees and Agents.</li>\n<li>Design data products that are semantically clear, discoverable, machine-readable, permission-aware, traceable, and safe to query.</li>\n<li>Establish strong data quality, testing, freshness, completeness, lineage, documentation, and observability practices.</li>\n<li>Own data governance practices for sensitive and regulated data, including access controls, auditability, traceability, and appropriate data handling.</li>\n<li>Participate in support and incident response for data platform issues, including diagnosis, stakeholder communication, remediation, and prevention of recurrence.</li>\n<li>Use AI tools, including LLMs and agentic coding systems, to accelerate pipeline development, data modeling, debugging, documentation, and data quality investigation while validating their output.</li>\n<li>Contribute to architecture and design reviews, mentor other engineers, and improve the engineering practices used across the organization.</li>\n</ul>\n<h3>About You</h3>\n<ul>\n<li>5+ years of relevant data engineering experience building and operating production data systems.</li>\n<li>Experience with pharmaceutical, biology, HIPPA or other regulated data core to BioTech is required.</li>\n<li>Strong Python and SQL skills, with deep experience in data modeling and warehouse systems, especially Snowflake.</li>\n<li>Experience with Dagster as an orchestration systems (or equivalent) transformation tooling such as dbt or an equivalent approach.</li>\n<li>Experience with data contracts, schema evolution, data quality testing, observability, lineage, and production incident response.</li>\n<li>Experience integrating messy clinical, operational, vendor, or otherwise complex source data.</li>\n<li>Working knowledge of Docker, GitHub, and Terraform or OpenTofu sufficient to partner effectively with SRE.</li>\n<li>Experience building data products and access patterns for applications, Data Science, analytics, human users, and AI Enabled Employees and Agents.</li>\n<li>Strong judgment about when to build reusable platform capabilities versus one-off stakeholder solutions.</li>\n<li>Daily fluency with AI tools and the ability to validate generated code, transformations, and data-modeling decisions.</li>\n<li>Exceptional collaboration and communication skills across Product Engineering, Data Science, Clinical Operations, Data Management, Business Development, and other non-technical partners.</li>\n<li>Experience working within and building validated computerized systems (CSV) is a plus.</li>\n</ul>\n<p>Total Compensation Range: $185,500 - $232,000</p>","enriched_at":1789769173219},{"id":"job_7f5740b2-78c","title":"Associate Director, Data Engineering","source_url":"https://job-boards.greenhouse.io/formationbio/jobs/8167989","location":"New York, NY, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.</p>\n<p>Every decision at Formation Bio, from which drug asset to pursue to how a trial is run, is only as good as the data underneath it. As the Associate Director of Data Engineering, you&#39;ll lead the team responsible for that data platform, and this role is about multiplying their impact: you&#39;re accountable for the pipelines, warehouse, and data products they build, for how fast and how well they build them, and for creating the conditions in which the engineers who build and operate them can grow, perform at a high level, and sustain that performance over time.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Hire, coach, and develop a team of data engineers, including setting goals, delivering feedback, and managing performance.</li>\n<li>Set the technical direction and roadmap for data engineering, prioritizing work across data quality, governance, scalability, and stakeholder experience in partnership with engineering and business leadership.</li>\n<li>Partner with key stakeholders such as: Data Science, Analytics, Clinical Operations, Data Managers, and Business Development on the design and delivery of pipelines and data models that support operational reporting, asset evaluation, and advanced analytics and ML use cases, ensuring your team designs solutions that close gaps and sees them through from concept to implementation.</li>\n<li>Oversee the architecture and maintenance of the data platform, including ingestion from clinical, operational, and third-party vendor sources, orchestration, transformation, and the Snowflake warehouse, across development, staging, and production environments.</li>\n<li>Ensure the team establishes and maintains strong data quality, observability, lineage, and documentation practices, and holds a high bar for engineering quality across the data platform.</li>\n<li>Own data governance practices for regulated and sensitive data, including access controls, auditability, and traceability appropriate for systems supporting clinical trial operations.</li>\n<li>Review and provide feedback on requirements and design documents for new data products and pipelines, and ensure documentation and knowledge-sharing practices stay strong across the team.</li>\n<li>Drive knowledge sharing, training, and mentoring on data engineering fundamentals and modern data tooling throughout the organization.</li>\n<li>Own the team&#39;s support rotation coverage for data platform incidents, including staffing, escalation paths, and incident retrospectives.</li>\n<li>Manage team budgeting, resourcing, and reporting for data engineering initiatives.</li>\n</ul>\n<h3>About You</h3>\n<ul>\n<li>7+ years of total experience across hands-on data engineering and people management, including 3+ years directly managing Data Engineers, Analytics Engineers, or similar.</li>\n<li>A track record of hiring, developing, and retaining strong engineers, with the ability to give direct, actionable feedback and set clear expectations.</li>\n<li>Skilled at directing a team that uses AI tools, including LLMs and agentic coding systems, as a core, daily part of how they build.</li>\n<li>Strong point of view on modern data stack tooling: warehousing (Snowflake), orchestration (e.g. Dagster or Airflow), transformation (e.g. dbt), and the tradeoffs between batch and streaming approaches.</li>\n<li>Exceptional collaboration and communication skills to effectively engage and work alongside stakeholders from diverse disciplines and varying levels of technical expertise, including Data Science, Clinical Operations, Biostatistics, BD, and non-technical partners.</li>\n<li>Experience managing or coordinating technical projects and programs, including resource budgeting, estimates, tracking, and reporting.</li>\n<li>Working knowledge of data governance, access control, and auditability practices, ideally including experience with regulated or sensitive data (clinical, PHI, or similar).</li>\n<li>Working knowledge of Python, SQL, Docker, GitHub, and Terraform/OpenTofu sufficient to guide and evaluate your team&#39;s technical decisions.</li>\n<li>Experience overseeing data quality frameworks, testing, and observability tooling for production data pipelines.</li>\n<li>Experience with pharmaceutical, biotechnology, or broader life-sciences industry data is a plus, but not required.</li>\n</ul>\n<p>Total Compensation Range: $213,500 - $267,000</p>","enriched_at":1788272087574},{"id":"job_0c4024b7-fdb","title":"Senior Software Engineer II, Trial Engine","source_url":"https://job-boards.greenhouse.io/formationbio/jobs/8167853","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.</p>\n<p>The Senior Software Engineer II, Trial Engine role is a senior individual contributor position on the Trial Execution team. You will build systems that run active trials, including integrations with EDC and other clinical systems, site selection and activation, clinical data flows, monitoring and signal detection, and timeline reconciliation across CROs and vendors.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Drive and own the design, delivery, and operation of differentiated production software used in live clinical trials, from site startup and activation through data collection, monitoring, and close-out.</li>\n<li>Bring together clinical, regulatory, data, and infrastructure partners to resolve cross-functional dependencies and take software from technical design through validated use in active trials.</li>\n<li>Build within a validated SDLC: partner with QA and CSV experts to translate validation requirements into traceable, testable software, and improve the engineering workflows that make compliant delivery efficient and predictable.</li>\n<li>Design and ship AI-native trial execution capabilities , agents and pipelines that read clinical and operational source data to surface signals, discrepancies, and tasks , with the provenance, audit trails, and human review that a regulated context requires.</li>\n<li>Build integrations across the clinical systems and vendor landscape (EDC, CTMS, eTMF, CRO and lab data feeds, safety systems), and turn fragmented inputs into a coherent, queryable picture of a trial.</li>\n<li>Own the trial-specific domain logic and software built on clinical data, partnering with Data Engineering on shared ingestion, orchestration, warehouse, quality, and governance capabilities that clinical teams can trust and that stand up to inspection.</li>\n<li>Shift work left. Find the trial activities that traditionally happen sequentially and build the tooling that lets them start earlier or run in parallel.</li>\n<li>Develop strong working fluency in the team&#39;s regulated context. Recognize when GxP considerations apply, bring QA and validation partners into decisions early, and help translate their requirements into practical engineering approaches.</li>\n<li>Set technical direction and raise the bar: review designs, mentor engineers and other builders, and build the guardrails and automation that let the whole organization move fast safely.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>7+ years of experience building production software, including hands-on experience shipping software for use in a clinical trial.</li>\n<li>Familiarity with software delivery in a regulated or controlled environment, including concepts such as GxP/GCP, computer system validation, requirements traceability, audit trails, electronic signatures, and change control.</li>\n<li>Strong builder: clean, maintainable code, solid distributed systems and cloud fundamentals (AWS, GCP, or Azure), and the judgment to know when to build for the next five years and when to build for next week.</li>\n<li>You build with AI tools daily , LLMs, agentic workflows, retrieval pipelines , and you&#39;re actively interested in how to bring them into regulated clinical work responsibly.</li>\n<li>Track record of technical ownership at senior scope: multi-quarter efforts, cross-functional dependencies, and designs that other engineers built on.</li>\n<li>Excellent communicator with non-engineers.</li>\n<li>Comfortable with ambiguity.</li>\n</ul>\n<p>Total Compensation Range: $213,500 - $267,000</p>","enriched_at":1788271742450},{"id":"job_0d0b4a91-dab","title":"Engineering Manager, Infrastructure","source_url":"https://job-boards.greenhouse.io/formationbio/jobs/8167964","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<h3>About Formation Bio</h3>\n<p>Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.</p>\n<p>Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others.</p>\n<h3>About the Position</h3>\n<p>As the Engineering Manager for Infrastructure at Formation Bio, you will lead the team responsible for the reliability, security, and operational foundation of our engineering organization. You will set technical direction, develop a high-performing team, and create the systems and operating practices that allow engineers to ship quickly and safely. You&#39;re accountable for the pace, reliability, and quality of the systems your team builds and operates, and for creating the conditions in which engineers can grow, perform at a high level, and sustain that performance over time.</p>\n<p>Formation Bio is an AI-native engineering organization, and Infrastructure has a central role in defining what that means operationally. You and your team will develop the systems, access patterns, guardrails, delivery workflows, and observability needed for engineers and agents to build and operate production software safely. We are looking for a leader with a credible point of view on how infrastructure and software delivery should evolve as AI-assisted and agent-authored code becomes a larger part of our systems. You do not need to have solved every aspect of the agentic SDLC already, but you should be actively exploring the space and capable of turning emerging practices into reliable engineering systems.</p>\n<p>You will partner closely with engineering, data science, tech ops, security, and domain experts across the drug development organization, representing Infrastructure and SRE in cross-functional planning and promoting strong reliability practices throughout the company.</p>\n<p>This position is ideal for a manager who leads from the front: someone who is passionate about developing engineers, sets an urgent, high bar for the team&#39;s pace and quality, and is restless about finding the next thing that&#39;s slowing the org down before it becomes a blocker. Your experience with engineering management, technical leadership, and infrastructure operations will be instrumental in driving Formation Bio&#39;s mission to bring new treatments to patients faster and more efficiently.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Hire, coach, and develop a team of infrastructure and site reliability engineers, including setting goals, delivering feedback, and managing performance.</li>\n</ul>\n<ul>\n<li>Set the technical direction and roadmap for infrastructure and SRE, prioritizing work across reliability, security, cost, and developer experience in partnership with engineering leadership. Build operating practices and paved paths that allow the team to meet the pace required by the broader organization without compromising reliability or security.</li>\n</ul>\n<ul>\n<li>Partner with engineers and data scientists to develop and deploy secure, observable, and reliable software across containerized applications, internal tools, ML pipelines, and AI model training workloads, including software developed with AI-assisted and agentic workflows. Ensure your team designs solutions that fill gaps and sees them through from concept to implementation.</li>\n</ul>\n<ul>\n<li>Oversee the research, development, and maintenance of infrastructure services spanning multiple cloud providers and operating environments, including compute, load balancers, databases, and secrets management across development, staging, and production, as well as infrastructure that supports validated and GxP-relevant workloads.</li>\n</ul>\n<ul>\n<li>Ensure the team creates, reviews, maintains, and optimizes IaC, container images, and CI/CD pipelines, and holds a high bar for engineering quality.</li>\n</ul>\n<ul>\n<li>Review and provide feedback on requirements and design documents as well as operating and maintenance procedures, and ensure documentation and knowledge sharing practices stay strong across the team.</li>\n</ul>\n<ul>\n<li>Drive knowledge sharing, training, and mentoring on infrastructure and SRE fundamentals throughout the organization.</li>\n</ul>\n<ul>\n<li>Own the team&#39;s support rotation coverage including staffing, escalation paths, and incident retrospectives.</li>\n</ul>\n<ul>\n<li>Manage team budgeting, resourcing, and reporting for infrastructure initiatives.</li>\n</ul>\n<h3>About You</h3>\n<ul>\n<li>7+ years of total experience across hands-on infrastructure/SRE work and people management, including 3+ years directly managing Site Reliability, Infrastructure, or DevOps engineers.</li>\n</ul>\n<ul>\n<li>A track record of hiring, developing, and retaining strong engineers, with the ability to give direct, actionable feedback and set clear expectations.</li>\n</ul>\n<ul>\n<li>Strong operational and reliability judgment, including experience overseeing advanced diagnostics, incident response, and root cause analyses. Digital forensics is a plus, but not required.</li>\n</ul>\n<ul>\n<li>A strong bias for automation and a low tolerance for repetitive manual work, paired with the judgment to know the rare cases when clickops is the right call and to coach your team accordingly.</li>\n</ul>\n<ul>\n<li>A credible point of view on AI-native engineering and what an agentic SDLC requires operationally, from access and guardrails for agents to how CI/CD and incident response change when agents are writing and shipping code. Able to set a high bar for how AI is used responsibly to accelerate infrastructure development, investigate incidents, perform diagnostics, and make operational improvements.</li>\n</ul>\n<ul>\n<li>Exceptional collaboration and communication skills to effectively engage and work alongside stakeholders from diverse disciplines and varying levels of technical expertise, including engineering leadership and non-technical partners.</li>\n</ul>\n<ul>\n<li>Experience managing or coordinating technical projects and programs, including resource budgeting, estimates, tracking, and reporting.</li>\n</ul>\n<ul>\n<li>Working knowledge of managing workloads in AWS and Snowflake. Experience with Azure, GCP, and/or Vercel is a plus.</li>\n</ul>\n<ul>\n<li>Familiarity with managing multiple shared COTS and FOSS software applications in a multi-tenant environment.</li>\n</ul>\n<ul>\n<li>Working knowledge of Docker, GitHub, Kubernetes, Python, Terraform/OpenTofu, and virtual networking sufficient to guide and evaluate your team&#39;s technical decisions.</li>\n</ul>\n<ul>\n<li>Experience supporting regulated or validated workloads is helpful, but not required. We value strong infrastructure leadership, operational judgment, and the ability to learn our regulatory context more than prior pharmaceutical or biotech experience.</li>\n</ul>\n<p>Total Compensation Range: $185,500 - $232,000</p>","enriched_at":1788271522152},{"id":"job_7f94a423-80e","title":"Associate Director/Director, Digital Quality","source_url":"https://job-boards.greenhouse.io/formationbio/jobs/8120161","location":"Boston, MA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"IT","description":"<p>Formation Bio is seeking an Associate Director/Director, Digital Quality to join their Quality Governance team. The successful candidate will serve as Process Owner for R&amp;D Data and Records Integrity and as Business Owner for key quality technology systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Serve as Process Owner for R&amp;D Data and Records Integrity and Business Owner for Veeva Quality Docs and DocuSign Part 11</li>\n<li>Own and maintain the R&amp;D data governance framework, including the inventory of R&amp;D data and associated risk assessments</li>\n<li>Apply risk assessments and control strategies to initial context of use, changes in context of use, and functionality changes for computerized systems and AI tools</li>\n<li>Maintain the inventory of AI applications in use across R&amp;D and provide ongoing AI oversight</li>\n<li>Serve as a key R&amp;D partner on data governance matters, advising R&amp;D teams on data stewardship, data quality, and responsible AI adoption</li>\n<li>Own and drive strategy for large cross-functional data migration and digitization projects</li>\n<li>Establish guardrails for the use of AI in QMS process execution</li>\n<li>Contribute to and support the QA master audit schedule and vendor qualification program</li>\n<li>Oversee, review, and provide final approval for non-program-specific Quality Events, Investigations, and CAPAs</li>\n<li>Represent Quality Governance in regulatory inspections and third-party audits</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years (Associate Director) or 10+ years (Director) of progressive GxP quality assurance, data integrity, or computerized systems compliance experience</li>\n<li>Bachelor&#39;s degree in a scientific, engineering, information systems, or related discipline</li>\n<li>Strong working knowledge of data integrity principles and applicable GMP, GCP, and/or GLP regulations</li>\n<li>Demonstrated experience with computer system assurance/validation, including risk-based approaches</li>\n<li>Working knowledge of AI/ML risk concepts, including model validation, bias, explainability, and drift monitoring</li>\n<li>Demonstrated experience building or maintaining data governance artifacts within an R&amp;D setting</li>\n<li>Demonstrated experience serving as a Process Owner or System/Business Owner</li>\n<li>Experience leading or contributing substantively to cross-functional data migration, asset onboarding, or system change projects</li>\n<li>Strong cross-functional communication and collaboration skills</li>\n</ul>\n<p>Total Compensation Range: $161,500 - $202,000</p>","enriched_at":1787652278273},{"id":"job_5eae720b-e8b","title":"Director/Senior Director, Product - Applied Data Science","source_url":"https://job-boards.greenhouse.io/formationbio/jobs/8141684","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Data Science","description":"<p>Formation Bio is seeking a Director/Senior Director, Product - Applied Data Science to lead the strategy for scaling data science work in asset acquisition and diligence.</p>\n<p>The successful candidate will own the judgment call of which asset-evaluation and diligence analyses have generalization potential across the AAD team&#39;s sourcing and evaluation work.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and execute the strategy for scaling Formation&#39;s data science work for asset acquisition and diligence</li>\n<li>Direct a working team spanning Data Science and Engineering day-to-day</li>\n<li>Collaborate with Data Science and Business Development as strategic partners</li>\n<li>Guide the technical approach on methods being scaled</li>\n<li>Identify new opportunities for AI to impact Formation&#39;s asset acquisition and diligence process</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years of experience in data science, applied science, or a technical product role</li>\n<li>Life sciences experience, preferably in biotech, pharma, or a related industry</li>\n<li>Strong technical and product judgment</li>\n<li>AI/ML fluency and technical fluency</li>\n<li>Cross-functional influence and business fluency</li>\n<li>Comfortable with ambiguity and autonomy</li>\n<li>Mission-driven, caring about getting medicines to patients faster</li>\n</ul>\n<p>Total Compensation Range: $245,000 - $307,000</p>","enriched_at":1787385945496},{"id":"job_0fa82378-61c","title":"Director, Financial Reporting","source_url":"https://job-boards.greenhouse.io/formationbio/jobs/8148469","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Finance","description":"<p>Formation Bio is hiring a Director of Financial Reporting to lead financial reporting functions, prepare technical accounting analysis, lead complex financial close functions and manage audit process.</p>\n<p>The role involves preparing annual US GAAP financial statements, including footnotes and supporting workpapers, and managing the day-to-day flow of the external audit. The Director will also be responsible for converting technical accounting conclusions into calculations, entries, workpapers, and repeatable processes, as well as supporting the reporting and audit of the company&#39;s separately audited venture fund.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Prepare annual US GAAP financial statements, including footnotes and supporting workpapers</li>\n<li>Manage financial reporting process, including coordination of cross-functional stakeholders</li>\n<li>Prepare supporting analysis for board reporting, investor and data room financial information requests</li>\n<li>Lead consolidation process and entries for complex organizational structure</li>\n<li>Review complex account reconciliations and related close documentation</li>\n<li>Translate new business activity and new accounting conclusions into operational close processes</li>\n<li>Assist with preparing technical accounting analysis for complex transactions and complex accounting matters</li>\n<li>Convert approved technical accounting conclusions into calculations, workpapers, journal entries, disclosures, and recurring processes</li>\n<li>Implement and maintain accounting for financial instruments, equity issuances, share-based compensation, noncontrolling interests, and other ASC 810 matters</li>\n<li>Serve as day-to-day point of contact for external auditors</li>\n<li>Support reporting and accounting for the company&#39;s special purposes financial statements</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>CPA</li>\n<li>Ten or more years of progressive accounting experience</li>\n<li>Experience in technical accounting, preferably as part of an in-house corporate accounting group</li>\n<li>Big Four or comparable public accounting experience strongly preferred</li>\n<li>Demonstrated ability to convert complex accounting guidance into practical calculations, journal entries, disclosures, and repeatable processes</li>\n<li>Experience in Consolidation of a complex organizational structure</li>\n<li>Ability to prepare clear, concise technical accounting memoranda and organized, audit-ready workpapers and financial statement support</li>\n<li>Ability to run multiple reporting and audit workstreams simultaneously, work independently, and constructively challenge auditors, consultants, and internal stakeholders</li>\n</ul>","enriched_at":1787385933662},{"id":"job_2292040f-ebf","title":"Lead Technical Recruiter","source_url":"https://job-boards.greenhouse.io/formationbio/jobs/8084157","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"HR","description":"<p>Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.</p>\n<p>You will be at the forefront of attracting and securing top technical talent for our data science, engineering, and product teams as Lead Tech Recruiter.</p>\n<h3>Key Responsibilities</h3>\n<ul>\n<li>Manage your own requisition load end-to-end, from sourcing through offer, holding every hire to a high bar.</li>\n<li>Partner with hiring managers and leadership to discuss headcount, prioritize requisitions, and shape hiring strategy for critical technical roles.</li>\n<li>Act as a true business partner to directors, VPs, and CTOs, advising on market trends, salary benchmarks, and best practices in technical and AI talent recruiting.</li>\n<li>Bring an AI-native mindset to every part of the role: use AI tools (Claude Code, Codex, and similar) to source candidates, calibrate evaluation, streamline workflows, and continuously raise the quality and speed of our process.</li>\n<li>Stay genuinely obsessed with AI and technology, tracking where the field is moving so we know exactly who the best people are and how to reach and win them.</li>\n<li>Have a perspective on and interest in developing employer branding strategies that position Formation Bio as the place builders come to solve the hardest problems in drug development.</li>\n<li>Act as a thought leader in the technical talent market: identify and participate in events, partnerships, and non-obvious channels to find candidates others miss.</li>\n<li>Use data and recruiting metrics to identify where our process can improve, and drive those improvements yourself rather than waiting to be asked.</li>\n<li>Organize and participate in events relevant to our target candidate pools to build a pipeline of exceptional technical talent.</li>\n</ul>\n<h3>Qualifications</h3>\n<ul>\n<li>At least 5 years of technical recruiting experience, with at least 3 in-house at a tech startup, with bonus points for life sciences, health technology, or AI-focused companies.</li>\n<li>A demonstrated obsession with AI and technology, not just as a nice-to-have but as a lens you bring to how you source, evaluate, and think about talent.</li>\n<li>Fluency using AI tools (Claude Code, Codex, or similar) to make recruiting materially faster and more effective, with real examples of how you&#39;ve done this.</li>\n<li>Experience filling roles across levels, from senior engineers to management, with a track record of hiring people who had outsized impact after joining.</li>\n<li>Experience as a genuine strategic partner to directors, VPs, and CTOs.</li>\n<li>Strong project management skills and a track record of delivering process improvements that measurably raised the bar for hiring quality.</li>\n<li>Demonstrated expertise in non-standard, creative sourcing strategies for hard-to-find technical talent.</li>\n<li>Strong alignment with how we work: curiosity, high ownership, and a bias toward efficiency and impact.</li>\n<li>Ability to build trust quickly with both hiring managers and candidates, and to operate with little direction while staying closely connected to the team.</li>\n</ul>\n<h3>What We&#39;re Really Looking For</h3>\n<p>Someone who does not need to be told that AI is changing recruiting. Someone who is already using it, already thinking about what&#39;s next, and already holds themselves to a bar as high as the one we hold candidates to.</p>\n<h3>Total Compensation Range</h3>\n<p>$154,500 - $202,000</p>","enriched_at":1785006379175}],"category_normalised":[{"category":"engineering","count":15},{"category":"it","count":3},{"category":"operations","count":1},{"category":"hr","count":1},{"category":"finance","count":1},{"category":"sales","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":3},{"week_start":"2026-06-01","count":1},{"week_start":"2026-06-15","count":7},{"week_start":"2026-06-22","count":1},{"week_start":"2026-07-13","count":1},{"week_start":"2026-07-20","count":1},{"week_start":"2026-08-17","count":2},{"week_start":"2026-08-24","count":1},{"week_start":"2026-08-31","count":3},{"week_start":"2026-09-14","count":3}],"trend":"stable","wow_pct":0},"momentum":{"recent_14d":3,"prior_14d":4,"growth_pct":-25,"classification":"stable"},"salary_vs_industry":{"company_median":222125,"industry_median":null,"percentile":null,"sample_size":20,"by_region":[{"region":"United States","company_median":222125,"industry_median":null,"sample":20}],"transparency_pct":87,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":23,"industry_total":23,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.369,"skill_weighted_score":0.364,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"Deep Learning","count":3,"score":0.46},{"skill":"Python","count":6,"score":0.374},{"skill":"Artificial Intelligence","count":3,"score":0.326},{"skill":"Snowflake","count":3,"score":0.288}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":23,"share_pct":100}],"emerging":[{"region":"United States","recent_30d":7,"prior_30d":3,"growth_pct":133}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":2,"exec_prior_90d_avg":2.7,"exec_growth_pct":-26,"notable_exec_hires":[{"title":"Associate Director, Data Engineering","location":"New York, NY, NY","posted_at":"2026-09-01"},{"title":"Associate Director/Director, Digital Quality","location":"Boston, MA","posted_at":"2026-08-25"}]},"posting_dynamics":{"median_days_open":95,"industry_median_days_open":null,"long_open_count":12,"closure_rate_pct":8}}}}