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Top Biotech Jobs in San Francisco, CA
Biotech
Develop software for clinical brain-computer interface applications, including BCI data curation, neural decoding algorithms, simulated and real-data evaluation, hardware-in-the-loop testing, code reviews, and feature development. Collaborate with engineering, neuroscience, machine learning, and quality teams to define requirements and support clinical studies. Regular travel between Austin and Oakland offices is required.
Top Skills:
CC++Machine LearningOperating SystemsPythonRustSignal ProcessingTime Series Data Processing
Cloud • Healthtech • Social Impact • Software • Biotech
Design, build, deploy, and operate extensibility platform systems, including apps, extensions, APIs, event and webhook platforms, notifications, MCP, and customizable UI infrastructure. Lead projects end to end, collaborate cross-functionally, improve platform scalability and maintainability, and establish engineering best practices. The role focuses on domain modeling, product distribution, installation, configuration, lifecycle management, and developer experience.
Top Skills:
Api DesignBackend DevelopmentData ManagementPublic ApisSaas PlatformsWeb Applications
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Build and maintain automated UI, API, database, performance, and compliance tests using Java and Python. Integrate regression suites with CI/CD, analyze failures, validate deployments, support regulated-system traceability, and provide release quality recommendations. The role includes HIPAA, SOX, HL7, and FHIR testing, risk assessments, AI-assisted testing, and mentoring junior QA engineers.
Top Skills:
Agile ScrumAllureAWSAzureCi/CdDockerEcsFargateFhirGatlingGithub ActionsGitlab CiHipaaHl7JavaJenkinsJmeterK6LambdaMySQLPlaywrightPostmanPythonRest AssuredS3SeleniumSQL
Artificial Intelligence • Software • Biotech • Pharmaceutical
Build and operate production AI systems for FDA regulatory intelligence, including evaluation pipelines, document ingestion and retrieval, multi-agent workflows, data pipelines, cloud infrastructure, and secure multi-tenant services. Collaborate with former FDA experts to translate domain judgment into product requirements and evaluation cases. Own architecture, reliability, observability, cost, security, and rapid 0-to-1 delivery across the stack.
Top Skills:
AlembicAmazon EcrAmazon RdsAmazon S3Anthropic ApiApplication Load BalancerAws EcsAws FargateAws Secrets ManagerClaude Agent SdkCloudflareDockerFastapiGithub ActionsGraphragKnowledge GraphsLanggraphMcpOpentofuPostgresPymupdfPythonPython-DocxReactSQLSqlalchemyTailwind CssTerraformTypescriptVercel Ai SdkVite
Artificial Intelligence • Big Data • Healthtech • Biotech • Pharmaceutical
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.
Top Skills:
DagsterDbtDockerGitLlmsOpentofuPythonSnowflakeSQLTerraform
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Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads the technical direction, architecture, and delivery of developer-facing desktop, web, and MCP surfaces for Pfizer’s internal developer platform. Provides hands-on software engineering leadership, ensures secure and privacy-first designs, guides cross-team delivery, mentors engineers, oversees code quality and DevOps practices, and leads incident response and continuous improvement. The role influences teams without direct reports and requires expertise across frontend, desktop, backend, developer tooling, enterprise software delivery, and technical architecture.
Top Skills:
Ci/CdDevOpsElectronKanbanMicroservicesModel Context Protocol (Mcp)Restful ApisScrumVue
Biotech
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.
Top Skills:
Ai ToolsCRM
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
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.
Top Skills:
Artificial IntelligenceCloud-Native PlatformsSophia Ddm Platform
Artificial Intelligence • Greentech • Healthtech • Social Impact • Software • Biotech • Pharmaceutical
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.
Top Skills:
Artificial IntelligenceB2B Saas
Biotech
Leads global supply chain process transformation, SAP ERP implementation, process harmonization, governance, KPI management, compliance, stakeholder alignment, change management, and continuous improvement across planning, logistics, warehousing, and inventory operations.
Top Skills:
Artificial IntelligenceAutomationProcess MiningSAPSap JouleSap S/4HanaSignavio
Biotech
Leads Gilead’s enterprise digital asset management product strategy, roadmap, governance, operations, AI enablement, and platform evolution. Oversees metadata, taxonomy, content lifecycle, compliance, integrations, adoption, vendor relationships, and global-to-local content workflows. Manages and develops a team of content librarians while partnering with Commercial Operations, Legal, Regulatory, IT, Data and AI, Procurement, affiliates, agencies, and external providers.
Top Skills:
Ai-Assisted AutomationDigital Asset ManagementGenerative AiMachine LearningSemantic SearchVeeva Vault Promomats
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