Top Biotech Jobs in Los Angeles, CA

Field-based clinical solutions engineer supporting sales of the SOPHiA GENETICS ecosystem. Uses hands-on clinical laboratory NGS expertise, assay implementation and validation knowledge, and CAP/CLIA experience to address customer concerns, explain adoption requirements, and build confidence in purchasing decisions. Partners with sales colleagues across a West Coast-to-Texas territory and travels for customer meetings, conferences, and events.

Sell Benchling's AI-enabled biotech R&D platform into 1-3 top global accounts. Generate 80% of pipeline, manage complex 7+ figure sales cycles, forecast accurately, negotiate and close deals, align multi-persona stakeholders, and coordinate internal and external partners to drive adoption and revenue.

Own the full healthcare sales cycle, from prospecting and pitching clinics to closing new clients. Lead onboarding, implementation, workflow analysis, and long-term clinic success. Build relationships with clinical, financial, and operational stakeholders, identify growth opportunities, improve enrollment and clinical impact strategies, and resolve client challenges. The role requires persistence, analytical problem-solving, adaptability, and availability to support diabetes care clients as needed.

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.

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.

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.

Own and expand major customer accounts across the Bay Area through consultative, solution-based selling. Build senior stakeholder relationships, identify growth opportunities, coordinate cross-functional teams, manage account plans and forecasts, analyze performance data, and negotiate complex commercial agreements. The role requires frequent onsite customer engagement, strong communication and strategic planning skills, a valid driver's license, and proficiency with business software and CRM tools.

Designs, programs, implements, and optimizes laboratory automation for cell-based, immunological, and genomic assays. Maintains Hamilton liquid-handling systems, develops automated workflows, troubleshoots equipment, and transfers methods to quality control teams and external partners. Creates technical documentation, trains laboratory staff, evaluates emerging technologies, and collaborates with scientists, engineers, IT, and stakeholders to improve assay robustness, workflow efficiency, and data quality in a regulated cell therapy environment.

Conducts AI and data science research in healthcare, analyzing wearable sensor, neuroimaging, physiological, behavioral, and clinical data. Develops and validates machine learning models for digital biomarkers, health endpoints, disease progression, severity prediction, and disease subtype discovery. Requires advanced Python or R, predictive modeling, statistical analysis, large-dataset expertise, and current PhD study in a quantitative discipline.

Develops reliable embedded flight software and firmware for spacecraft, satellite buses, and reentry capsules. Owns requirements capture, design trades, implementation, testing, integration, verification, validation, and flight operational support. The role focuses on safety-critical, real-time systems using C++ across bare-metal, RTOS, and Linux environments, ensuring software reliability, availability, quality, and performance throughout the mission lifecycle.