Jobs at BioSpace

A CMMS (Computerized Maintenance Management System) Administrator will manage work requests, maintain training records for maintenance and calibration teams in a GXP-compliant pharmaceutical/biotech environment, administer service contracts, and report on department metrics. The role requires 2+ years of CMMS experience, proficiency with MS Office Suite, and knowledge of pharmaceutical manufacturing compliance standards.…See more The position involves coordinating with maintenance, calibration, and facilities teams, attending meetings, and ensuring adherence to safety and environmental policies.

Senior Automation Engineer supporting the development, maintenance, and operation of complex custom automation systems in a biotech environment. Responsibilities include understanding system requirements, developing scripted protocols, supporting system integration across hardware and software, troubleshooting failures, and ensuring compliance with FDA regulations and GxP principles.…See more The role requires proficiency in C#, experience with robotics, motion control, machine vision, and strong problem-solving skills to maintain system uptime in a regulated biotech setting.

The QA Associate II supports quality assurance operations in a regulated manufacturing environment, ensuring materials, processes, and products comply with cGMP and company procedures. Responsibilities include reviewing batch records and analytical data, assessing deviation and CAPA closure, conducting GMP documentation reviews and line clearance inspections, and supporting material/equipment qualification and audit activities.…See more The role requires independent judgment on routine quality decisions, cross-functional collaboration with Manufacturing, QC, and other departments, and the ability to draft and revise SOPs and quality documentation. A Bachelor's degree in biological sciences and minimum 2 years of GMP manufacturing experience in a regulated environment are required; cell therapy, aseptic technique, and cleanroom experience are valued.

The QA Associate II reviews manufacturing batch records, analytical test results, and quality documentation to ensure compliance with cGMP and company procedures. Responsibilities include assessing deviations and CAPAs, conducting line clearance inspections and process observations, supporting material and equipment qualification, and participating in audits and investigations.…See more The role requires judgment in routine and moderately complex quality decisions, cross-functional collaboration, and SOP documentation in a regulated biopharmaceutical manufacturing environment.

Senior Automation Engineer responsible for developing, maintaining, and operating complex custom automation systems in a biotech stem-cell therapy environment. The role requires designing scripted protocols, integrating hardware and software components, troubleshooting system failures, and ensuring compliance with FDA regulations and GxP principles.…See more Requires 5+ years in hardware design, automation, or biotech; proficiency in C#; and hands-on experience with robotics, motion control, sensors, and machine vision systems.

Software engineer responsible for building and integrating applications across laboratory systems, data pipelines, and enterprise platforms in an oncology context. The role emphasizes full-stack development (Python/Django/Flask backend, JavaScript/TypeScript frontend), cloud deployment on AWS, CI/CD and containerization practices, and increasingly AI-enabled capabilities such as LLM-powered data access and agentic workflows.…See more Requires 4+ years of professional software engineering experience, strong collaboration with scientific and operational stakeholders, and ownership of application reliability, documentation, and lifecycle planning.

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.

This role combines software engineering leadership with lab automation integration and early-stage AI prototyping. You will own the translation layer between high-level workflow logic and low-level instrument control, deploy and maintain containerized services using Docker and Kubernetes with CI/CD practices, and build scalable Python applications connecting experimental readouts with downstream analysis tools.…See more You'll collaborate on incorporating AI-driven decision-making into automation workflows, mentor the automation engineering team, and help shape the technical roadmap for autonomous discovery systems.

Build and integrate oncology applications across laboratory systems, data pipelines, and enterprise platforms at Eli Lilly. Develop AI-enabled capabilities for data retrieval, extraction, and analysis while owning application reliability, user support, and lifecycle planning.…See more Deploy on Lilly cloud infrastructure using modern server-side frameworks (Python/Django/Flask preferred), front-end technologies (JavaScript/TypeScript), relational databases, and CI/CD pipelines. Mentor junior engineers and collaborate directly with scientific and operational stakeholders.

Senior Automation Engineer supporting development, maintenance, and operation of complex custom automation systems in a biotech environment. Responsibilities include understanding system requirements, developing scripted protocols, integrating hardware and software components, troubleshooting failures, and ensuring compliance with FDA regulations and GxP principles.…See more Requires 5+ years in hardware design, automation, or biotech, with proficiency in C#, robotics, motion control, machine vision, and electronic systems integration.

Administer a Computerized Maintenance Management System (CMMS) in a GXP-compliant pharmaceutical/biotech manufacturing environment. Manage maintenance and calibration service contracts, track employee training records, generate department metrics and trending reports, and coordinate with Maintenance, Calibration, and Facilities teams.…See more Requires 2+ years of CMMS experience, proficiency with MS Office Suite, and knowledge of GXP compliance standards.

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.

Design and implement software integrations connecting lab automation infrastructure (liquid handlers, plate readers, robotic workstations, analytical instruments) with orchestration layers and digital workflows. Build production-grade Python applications and containerized services using Docker and Kubernetes, deploy CI/CD pipelines, and maintain LIMS integrations.…See more Explore AI-driven decision-making and autonomous orchestration capabilities, staying current with LLM tooling and agent frameworks. Provide technical leadership and mentorship to the automation engineering team while shaping the roadmap for closed-loop autonomous discovery systems.