Clinical Systems Engineer
Lindus · Remote · US · London ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Hybrid (UK) or Remote (US)
- 2-3 years experience
- Python + Django
- Clinical trials focus
- Stock options included
You will join the trial team as an embedded engineer, responsible for configuring studies and managing integrations within the Citrus platform. Your work ensures that data collection, participant schedules, and compliance rules are accurately implemented for clinical-stage assets.
This technical position requires writing code, building automation tools, and supporting data quality under software engineering oversight. You will collaborate with non-technical teams to deliver trials that meet regulatory standards and audit requirements.
What you'll do
- Configure studies in the Citrus ecosystem including forms, logic, and access controls
- Manage integrations and data pipelines required for specific trials
- Execute quality checks, validation, and coordinate User Acceptance Testing
- Implement approved changes to live studies while maintaining compliance
- Support technical tickets for data corrections and warehouse debugging
- Build automated workflows to generate high-quality compliant data
- Contribute to the core Citrus codebase under engineering supervision
- Review Data Architect designs and flag ambiguities before implementation
What you'll need
- Two to three years of experience in software, data, or systems engineering
- Proficiency in coding and utilizing AI development tools
- Experience with Django admin and relational databases is valued
- Ability to work independently and solve problems with minimal guidance
- Strong attention to detail to identify gaps before they become issues
- Comfortable collaborating across technical and non-technical teams
- Capable of prioritizing multiple tasks in a fast-paced environment
- Interest in working within regulated environments and audit-ready documentation
Nice to have
- Previous experience in clinical trials or life sciences sectors
- Background in a technical degree field or equivalent hands-on work
Stack
- Django
- Relational databases
- Citrus ecosystem
- AI tools
How you'll work
- US: Fully remote position
- UK: Hybrid with three days per week in London Bridge office
- Collaboration with global trial teams and engineering oversight
What you get
- Competitive salary plus meaningful stock options
- 27-30 days annual leave plus national or bank holidays
- Health insurance via Trinet (US) or AXA (UK)
- Monthly wellness allowance for gym or health activities
- Enhanced parental leave: 16 weeks primary, 6 weeks secondary
- Annual learning and development budget for courses
- Access to gym and retail discounts through Happl platform
- Monthly lunch vouchers for remote team members
Hiring process
- Initial 30-minute conversation with Head of Talent
- 30-minute discussion with VP of Data or Associate Director
- 60-minute technical interview with data and engineering experts
- 30-minute values interview with two Senior Leadership members