Software Engineer (Life Sciences)
Welcome to Next Phase Recruitment! Please use the above link to see our current jobs that match your search criteria. For a broader job search, please visit the home page or call us on 01403 216216 to discuss c
Welcome to Next Phase Recruitment! Please use the above link to see our current jobs that match your search criteria. For a broader job search, please visit the home page or call us on 01403 216216 to discuss career options in other areas of Life Science and Technology.
Software Engineer
Software Engineers in the life sciences sector develop, test, and maintain software systems that support critical scientific workflows in biotechnology, pharmaceuticals, and healthcare technology. Their work enables researchers, clinicians, and production teams to operate efficiently, access data securely, and comply with regulatory standards.
A Software Engineer’s role typically involves:
Designing and building scientific applications – This can include systems for laboratory automation, data visualization, clinical trial management, or real-time monitoring of manufacturing processes.
Integrating with scientific instruments and databases – Engineers ensure seamless data capture from lab instruments (e.g., mass spectrometers, sequencers) and build connections to databases used for bioinformatics, compound libraries, or patient data.
Implementing secure, compliant systems – In regulated environments, software must comply with GxP, 21 CFR Part 11, and ISO standards. Engineers develop audit trails, user authentication protocols, and robust documentation.
Developing APIs and user interfaces – Many Software Engineers build APIs that support data sharing between systems, as well as intuitive front-end interfaces for scientists and operations teams.
Collaborating across disciplines – Software Engineers work alongside scientists, data analysts, QA professionals, and regulatory teams to ensure their systems meet technical and scientific requirements.
Areas of specialization may include:
Bioinformatics Software Development – For tools that process NGS or proteomics data.
Clinical Systems Engineering – Creating platforms for trial monitoring, EDC, or ePRO systems.
Lab Informatics – Supporting LIMS/ELN systems and integration with lab instruments.
Embedded Systems – Engineering firmware and software for medical devices or diagnostics hardware.
Strong candidates typically have experience with languages such as Python, Java, C#, or JavaScript, and familiarity with cloud platforms (e.g. AWS, Azure), database technologies, and DevOps workflows.