For our client in Switzerland we are looking for a Digital Biomarker Python Engineer with the following details:

General Information:

• Duration: asap-31.12.26 (extension possible)
• Workload: 100%
• Location: fully remote, nearshoring CET +/- 2h)
• Contract: Freelance. In case you’re located in Switzerland it’s also possible to get employed by us (swiss payroll)

Background:

Digital biomarkers from smartphones and wearables are revolutionizing medicine by providing real-time health data from patients worldwide. These innovations accelerate clinical development and enable more personalized treatments. To power these insights, we have built data pipelines in the cloud to ingest and process the sensor data coming from mobile and wearables devices. Central to this is the DA Workspace (DA WS) infrastructure, which enables data scientists to access and analyze this data at scale. We are seeking a Python Engineer to further enhance and maintain DA WS and its associated components, ensuring our cloud data processing system (CDPS) remains robust, and innovative. The ideal candidate is a results-driven python engineer with a proven track record of delivering digital solutions within an agile environment.

Key Responsibilities

• Architecture & Development: Design and implement scalable, maintainable Python applications and microservices within the CDPS ecosystem.
• System Optimization: Identify and resolve performance bottlenecks in the codebase, optimize cloud resource usage (Azure), and ensure system reliability.
• Technical Collaboration: Work closely with Data Scientists, Engineers and Product Managers to translate complex analytical requirements into efficient technical implementations.
• Code Quality & DevOps: Lead by example in software best practices, including CI/CD automation, and rigorous code reviews.
• Lifecycle Management: Support the full software development lifecycle in a regulated environment, ensuring that code meets both performance and compliance standards.

Must Haves:

• Expert-level proficiency in Python (specifically for data-intensive applications)
• Experience using modern tools in Python, like Poetry, and optionally UV and Ruff
• Proven experience building on cloud platforms (e.g., Microsoft Azure, AWS)
• Strong hands-on experience working with Linux virtual machines in cloud environments
• Proficiency with Linux command-line tools and shell scripting (Bash or similar)
• Familiarity with process management, cron jobs, logging systems, and service monitoring
• Ability to troubleshoot performance and runtime issues directly on Linux hosts
• Experience in Infrastructure as a Code is a big plus (Terraform/Pulumi, Bicep)
• Strong understanding of database technologies (SQL and NoSQL)
• Proficient in DevOps best practices, including CI/CD, version control, and robust unit testing with pytest
• Experience working in an Agile (Kanban/Scrum) environment, with the ability to turn Jira tickets into high-quality technical deliverables
• Strong analytical skills with the ability to debug complex, distributed systems and optimize for both latency and throughput
• Ability to explain technical trade-offs to non-technical stakeholders and document architectural decisions clearly in Confluence