ArcaScience is building the analytical foundation for better drug safety decisions. Every feature we ship serves one mission: helping pharmaceutical companies make benefit-risk assessments that are faster, more rigorous, and more transparent. If you want your work to directly improve outcomes for millions of patients, you belong here.
Why ArcaScience
What You'll Find Here
Meaningful Impact
Your work directly improves drug safety decisions affecting millions of patients. Every analysis, every model, every regulatory output contributes to safer medicines and better-informed benefit-risk assessments.
Scientific Rigor
Work alongside PhDs in pharmacoepidemiology, biostatistics, and regulatory science. We never compromise on methodological integrity. Our team includes former FDA reviewers, EMA consultants, and published researchers.
Technical Challenge
Process 100B+ data points with cutting-edge AI/ML infrastructure. Build domain-specific models for signal detection, causal inference, and comparative effectiveness. Scale systems that pharmaceutical giants depend on daily.
Global Team
15+ nationalities across Paris and Sunnyvale offices. Diverse perspectives from biotech, consulting, academia, and regulatory agencies. Collaborative culture where the best ideas win, regardless of seniority.
Departments
Explore Our Teams
Engineering
Build the infrastructure processing 100B+ data points. Python, Rust, PostgreSQL, Kubernetes. ML pipelines, distributed systems, regulatory-grade validation.
View Positions →Science
Drive pharmacoepidemiology research and regulatory science. Signal detection methodology, BRAT framework implementation, AI model validation, regulatory submission support.
View Positions →Operations & Commercial
Scale ArcaScience's impact across the pharmaceutical industry. Client success, commercial strategy, partnerships, compliance, and operations roles supporting global growth.
View Positions →Open Positions
Join Our Team
Senior Backend Engineer
Build distributed systems processing 100B+ pharmacovigilance data points. Python, Rust, PostgreSQL, Kubernetes. Experience with ML pipelines and regulatory validation requirements.
Apply NowML Research Scientist
Develop domain-specific AI models for signal detection, causal inference, and comparative effectiveness. PhD in ML/Statistics preferred. Experience with healthcare or pharmacovigilance data a plus.
Apply NowSenior Pharmacoepidemiologist
Lead benefit-risk methodology development and regulatory science strategy. PhD in pharmacoepidemiology or related field. 5+ years post-doc experience. Publications in regulatory science preferred.
Apply NowRegulatory Science Consultant
Support pharmaceutical clients through regulatory submission preparation. Experience with FDA, EMA, or PMDA submissions. PharmD or PhD with regulatory affairs background. Travel required (25%).
Apply NowClient Success Manager
Own pharmaceutical client relationships and drive platform adoption. Scientific background (PharmD/MSc/PhD) required. 3+ years in client-facing role at SaaS, biotech, or CRO preferred.
Apply NowCompliance & QA Lead
Ensure FDA 21 CFR Part 11, GDPR, and ISO 27001 compliance across the platform. Experience with pharmaceutical software validation, audit management, and regulatory inspections.
Apply NowDon't See Your Role?
We're always looking for exceptional talent across all disciplines. Send us your CV and tell us how you'd contribute to ArcaScience's mission.
Send Us Your CVLife at ArcaScience
Where We Work
Our Values
What Guides Us
Scientific Integrity
We never compromise on methodological rigor. Every model, every analysis, every regulatory output is built on defensible scientific foundations. Our reputation depends on the quality of our work.
Patient Impact
Every feature we build serves the mission of safer medicines. Benefit-risk decisions affect millions of patients. That responsibility drives every technical choice, every priority, every deadline.
Collaborative Excellence
The best work happens when diverse perspectives converge. Engineers challenge scientists. Scientists challenge engineers. Junior team members ask the hard questions. Hierarchy never silences the best idea.