benchling jobs in San Diego

This is a Principal cloud architect role for AWS focused on healthcare and life sciences customers. The role requires 7+ years of experience with data and AI technologies (ML, GenAI, analytics, databases), deep knowledge of AWS services (SageMaker, Bedrock, Neptune, Redshift, S3), and proven ability to shape large-scale AI and data transformation programs in pharma/biotech R&D and clinical development.…See more Responsibilities include technical pre-sales, solution architecture, opportunity shaping, and translating complex data architecture concepts for both scientific and executive stakeholders. The ideal candidate has domain expertise in R&D data ecosystems, regulatory frameworks (GxP, 21 CFR Part 11, HIPAA, GDPR), and data standards (FHIR).

Provide IT infrastructure, application, and technical support for laboratory environments in life sciences/pharmaceutical/biotechnology settings. Install, configure, maintain, and troubleshoot laboratory IT systems including LIMS, ELN, LES, CDS applications, laboratory instruments, Windows servers, Active Directory, and networking.…See more Support GxP-regulated environments, system validation, change control, and audit activities while ensuring security, availability, and data integrity.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Implement IoT integrations, digital lab twins, telemetry systems, and maintain integrations across automation schedulers, LIMS, and data platforms using DevOps best practices and cloud solutions. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience (or equivalent M.S./B.S. with 10+/13+ years respectively), strong proficiency in Python, SQL, and JavaScript, and experience with lab digitalization and autonomous systems.

Staff Software Engineer to own end-to-end LIMS (Laboratory Information Management System) implementation for a clinical/molecular diagnostics lab, connecting sample tracking to lab automation and instrumentation. Responsibilities include building the LIMS platform, creating integrations between LIMS and lab devices, modeling complex sample preparation and assay execution data chains, and ensuring compliance with 21 CFR Part 11.…See more Requires 7+ years of hands-on LIMS experience in clinical or molecular diagnostics, deep knowledge of sample-tracking data models for high-throughput workflows, full-stack programming across UI/APIs/backend, and regulated-environment expertise (21 CFR Part 11, ISO standards, CAP/CLIA). This is a hands-on technical leadership role requiring strong communication between lab scientists, automation engineers, and software teams.

Design and develop software applications orchestrating complex automated laboratory workflows, closed-loop learning systems, and AI-integrated autonomous discovery ecosystems for biotherapeutics research. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Create digital lab infrastructure including IoT integrations, digital lab twins, telemetry monitoring, and integrations across automation schedulers, LIMS, and data platforms. Requires Ph.D. in Computer Science/Software Engineering/Bioengineering with 3+ years industry experience (or M.S. with 10+ years, or B.S. with 13+ years), preferably in pharmaceutical or automation sectors.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Create digital lab infrastructure including IoT integrations, digital lab twins, and telemetry monitoring. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience, or equivalent education with more experience; strong proficiency in Python, SQL, JavaScript, and DevOps practices; and familiarity with lab data platforms and autonomous systems.