Member Of Technical Staff

About Us

Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.

About the Role

As a Forward-Deployed Biostatistician, you will build and evaluate AI agent systems to automate statistical analysis and clinical development workflows. You'll be embedded directly with some of the world's leading pharma and biotech organizations, and will be responsible for ensuring Edison's AI agents deliver statistically sound, regulator-ready outputs. You'll work with our partners to create benchmarks that measure agent performance on complex tasks across trial design, SAP development, and submission-quality statistical deliverables, then work with our internal AI engineering team to improve agent performance on those tasks. You'll need to deeply understand our partners' statistical methodology, their study design conventions, and their regulatory bar, then determine where our platform can drive the most meaningful impact.

Key Responsibilities

• Improving the ability of LLM agents to execute long, coherent statistical analysis and trial design tasks within real-world scientific environments and customer data infrastructures.

• Designing benchmarks to evaluate LLM agent performance, acceptance criteria, and failure modes on complex biostatistical tasks (e.g., SAP development, sample size determination, endpoint analysis).

• Partnering directly with biostatisticians and clinical development leaders at client organizations to apply AI agents to statistical and regulatory deliverables.

• Serving as the statistical authority on AI-generated outputs, evaluating accuracy and regulatory soundness, identifying failure modes, and determining what warrants further investigation.

• Partner with GTM and account executives to scope engagements, define success metrics, and support pre-sales technical evaluation.

• Build trusted relationships with biostatisticians and research leaders at customers, earning credibility as both a statistical peer and a knowledgeable AI practitioner.

Required Qualifications

• 5+ years of experience in biostatistical applications within biotech or pharma (sponsor or CRO).

• Graduate degree (Ph.D. preferred) in Statistics, Biostatistics, or a related discipline.

• Proven expertise in crafting SAPs, determining sample sizes, and designing early-phase (I/II) clinical trials.