Job description
Role overview
Developing data analytic pipelines and novel methodologies for scientific applications in Cambridge. This hybrid role combines data science analytics, scientific project understanding, and Python software engineering. Collaborate with experimental lab scientists to extract insights from noisy datasets and build reproducible software pipelines.
Key details
Salary: £45,000 to £75,000 DoE Location: Cambridge, Cambridgeshire Company: Cambridge-based startup focused on scientific research and data-driven solutions.
Responsibilities
- Design and implement data analytic pipelines for scientific applications
- Collaborate with lab scientists to interpret experimental datasets
- Develop reproducible processes and software tools for data analysis
Requirements
- Strong Python programming skills
- Experience with data analysis and statistical methods
- Understanding of scientific research workflows
Benefits
- Hybrid work arrangement
- Opportunities for professional development
- Competitive salary range
Keywords
Pythondata analysisscientific researchpipeline developmentmachine learningdata sciencereproducible workflowsexperimental science