Top Biotech Jobs in San Francisco, CA

Build and maintain full-stack features for Benchling’s workflow engine, recipes, assays, and related life sciences products. Develop backend services, frontend interfaces, workflow data models, and AI-enabled functionality. Collaborate with engineering, product, design, and AI teams; write tested and documented code; participate in code reviews and on-call support; and work onsite in San Francisco three days per week.

Leads the technical design, development, testing, deployment, and support of Epic Aura integrations for ordering, results delivery, and healthcare data sharing. Collaborates with hospital IT teams, Epic representatives, and clinical users; manages testing cycles, supports go-live and production issues, documents workflows, and provides subject matter expertise and training. Requires Epic build experience, certification, and knowledge of clinical or laboratory interfaces, with HL7, FHIR, and Epic interoperability experience preferred.

Build and ship full-stack AI products for FDA regulatory workflows. Responsibilities include architecting scalable systems, ingesting and structuring heterogeneous regulatory data, maintaining data quality and governance, developing RAG and agent workflows, creating evaluation benchmarks, collecting human feedback, and collaborating with FDA experts. The role involves frontend and backend development, debugging, performance optimization, and owning features from concept through delivery.

Build and operate reliable data systems and products supporting clinical operations, drug evaluation, business development, analytics, machine learning, and AI agents. Responsibilities include designing pipelines, canonical data models, data contracts, warehouse transformations, quality and observability practices, governance for regulated data, and incident response. The role partners closely with Product Engineering and Data Science, uses AI-assisted development, contributes to architecture, and mentors other engineers.

Drive new client acquisition and revenue through high-volume lead outreach, sales strategy, CRM pipeline management, client pitches, stakeholder engagement, pricing analysis, and cross-functional collaboration to meet sales targets.

Own and expand customer relationships across the Western United States for a cloud-based healthcare genomics platform. Drive adoption, usage, and account growth within hospitals, laboratories, and healthcare organizations; identify expansion opportunities; navigate complex stakeholder groups; provide account support; and partner with sales teams on customer meetings and commercial development. The field-based role requires approximately 30–40% territory travel.

Leads Inato’s marketing organization and strategy, including account-based marketing for enterprise sponsors, integrated sales campaigns, product positioning, go-to-market execution, customer marketing, and advocacy programs. Establishes marketing goals and metrics tied to business outcomes while partnering with Sales, Product, Customer Success, Strategy, and executive leadership. Coaches and develops the marketing team, builds internal product marketing capabilities, and drives measurable pipeline creation, customer expansion, and market differentiation.

Join the founding team to design and build research infrastructure, automate compute clusters and data pipelines, and develop software/APIs enabling access to generative AI systems for protein therapeutics. Internship with Bay Area location (remote for exceptional candidates).

Lead the Site Reliability Engineering function, overseeing cloud infrastructure, Kubernetes, networking, observability, automation, CI/CD, security, and incident response. Drive reliability, scalability, performance, and operational excellence across production systems while mentoring engineers and collaborating with software and product teams. Manage infrastructure architecture, monitoring platforms, infrastructure-as-code practices, vendor relationships, and post-incident remediation.

Lead strategy, roadmaps, stakeholder alignment, partner management, user research, analytics, and delivery for consumer companion apps supporting chronic disease management. Translate research and data into product priorities, influence senior leaders, champion consumer experience and accessibility, establish scalable technical standards, and track KPIs. May oversee UAT, launches, research, and data functions.