Formation Bio

Senior individual contributor owning a major part of a clinical-trial execution platform, including regulated software, clinical-system integrations, and AI-native workflows. Requires 7+ years building production software, clinical-trial experience, cloud and distributed-systems expertise, and familiarity with validated delivery.

Leads the infrastructure and SRE organization, owning technical direction, reliability, security, operational practices, and team development. Requires 7+ years of combined infrastructure/SRE and management experience, including 3+ years managing relevant engineering teams.

Leads the data engineering team and platform strategy, overseeing pipelines, warehousing, governance, reliability, and data products supporting clinical operations and company decisions. Requires 7+ years across data engineering and people management, including 3+ years directly managing data engineers.

Leads R&D data governance, computerized-system compliance, and AI oversight within Quality Governance. The role requires substantial GxP experience, data integrity and validation expertise, R&D governance experience, and the ability to lead cross-functional migration and inspection-readiness activities.

Leads the strategy and execution for scaling data science analyses into durable tools and capabilities for drug-asset acquisition and diligence. The role requires senior experience across data science or technical product, life sciences expertise, AI/ML fluency, and the ability to coordinate engineering and data science teams.

Leads US GAAP financial reporting, complex consolidations, technical accounting, close processes, external audit coordination, and fund reporting. Requires a CPA, at least 10 years of progressive accounting experience, and expertise translating complex accounting matters into operational processes and audit-ready documentation.

Director, People responsible for driving AI-native People Operations, designing/scaling performance/compensation/benefits programs, and serving as strategic business partner to leaders. Requires 8+ years in HR/People leadership with proven AI/automation experience, strong operations background, and ability to operate strategically with high autonomy in a high-growth biotech environment.

Lead technical recruiting for data science, engineering, and product teams at an AI-native pharma company. Own end-to-end hiring for technical roles, partner strategically with leadership, and leverage AI tools to optimize sourcing, evaluation, and process efficiency while maintaining a high bar for talent.

Lead external brand and media relations for an AI-driven pharma company. Own PR strategy, journalist relationships, executive positioning, and brand initiatives while building AI-powered communications systems.

Lead quality strategy for drug development assets at an AI-native biotech. Embed QbD, manage risk frameworks, conduct due diligence, and ensure audit readiness from preclinical through commercialization.

Lead RWD strategy and data engineering at a tech-driven pharma company. Own sourcing, harmonization (OMOP), infrastructure, and vendor management to deliver analysis-ready datasets supporting drug development and portfolio decisions.

Lead product strategy and AI-driven solutions for major drug development domains like clinical trials and regulatory submissions. Own outcomes for cross-functional teams of engineers, data scientists, and PMs while embedding with clinical and regulatory leaders.

Lead AI and data science initiatives to advance drug development, focusing on patient stratification, biomarker identification, clinical trial optimization, and AI agent development for biomedical workflows. Requires PhD and 5+ years experience in life sciences with strong Python and bioinformatics skills.

Lead AI-driven data science initiatives for drug development, building models for patient stratification, biomarker identification, and clinical trial optimization. Requires a PhD and 3+ years post-academic experience in life sciences with strong Python and bioinformatics skills.

Senior Data Engineer building scalable pipelines to transform EHR and claims data into analytics-ready assets while conducting hands-on real-world evidence analyses. Requires 5+ years experience with 2+ years in healthcare data, strong SQL/Python, Snowflake/dbt/Dagster, and familiarity with OMOP and causal inference frameworks.

Lead data science initiatives at a tech-driven pharma company to accelerate drug development using AI models for patient stratification, biomarker discovery, and clinical trial optimization. Requires a PhD and 7+ years experience in life sciences with strong Python and bioinformatics skills.

Lead development of deep learning models for medical imaging analysis to accelerate drug development and clinical trials. Requires PhD with 5+ years building production AI models for MRI/X-ray analysis.

Lead development of deep learning models for medical image analysis (MRI, X-ray) to accelerate clinical trials, create AI biomarkers, and integrate imaging AI into drug development workflows. Requires PhD and 5+ years building production-grade medical imaging AI.

Lead business development efforts to identify, evaluate, and source early-stage biotech and pharmaceutical assets for tech-enabled drug development. Requires strong scientific background (PhD/MD preferred) plus 3-7 years experience in BD, VC, or consulting.