Top Biotech Software Engineer Jobs

The Senior Integration Analyst will design, configure, test, and implement Epic integrations, collaborating with internal and external stakeholders for seamless data exchange and supporting clinical decision-making.

As a Software Engineer, you will build core features for user authentication, permissions, and notifications, while collaborating with other teams to enhance the Benchling application and continuously improve engineering processes.

The Staff Software Engineer will lead the migration of R&D scientific workloads to cloud HPC platforms, ensuring optimal performance and scalability while collaborating with scientists and overseeing training and documentation efforts.

The Software Engineer will develop software for brain-computer interface applications, involving data curation strategies, BCI decoding algorithms, and collaboration with engineering and neuroscience teams.

The Staff Data Engineer will manage the end-to-end data lifecycle, develop data pipelines, ensure compliance, and mentor team members in a hybrid role focused on early cancer detection.

The Principal Software Engineer will lead architectural strategy and product development, mentor engineers, and collaborate across teams in an interdisciplinary setting.

Responsible for designing, developing, and implementing high-quality software solutions for medical applications, focusing on technical leadership and mentorship.

The Product Engineer I supports field teams with technical assistance, creates deployment practices, and collaborates with R&D and software engineering. Key tasks include testing software updates and monitoring field issues.

The role involves technical leadership for the IDAP Central Automation team, ensuring productivity improvements, integrating automation with cybersecurity, and mentoring employees. Responsibilities include strategic direction, project support, and compliance with regulatory standards.

The role involves maintaining lab automation equipment, supporting workflow in protein therapeutic discovery, and collaborating on automation-driven research workflows.

Lead the development of software solutions for early clinical development, focusing on data pipelines, system architecture, AI integration, and collaboration with clinical scientists.