Location: Basel
Contract: ASAP
The Oncology Data Science (OncDS) team within Biomedical Research leverages computational biology, artificial intelligence, and data expertise to drive projects across the pre-clinical and clinical development pipeline for a diverse range of innovative therapeutics. Our team specializes in harnessing high-throughput genomic and biomarker data to advance target identification, drug discovery, and clinical development.
We are looking for a Full Stack Software Engineer to contribute directly to the development and optimization of tools that manage critical datasets and generate visualizations to uncover scientific insights. This position offers a unique opportunity to work at the intersection of cutting-edge science and technology within a team that prioritizes curiosity, collaboration, innovation, and personal growth.
Key Responsibilities:
* Work with multidisciplinary teams to design and maintain the backend architecture of data curation applications using Python frameworks.
* Enhance and optimize existing applications while resolving technical issues and debugging as needed.
* Implement and uphold best practices, including robust testing and CI/CD workflows.
What You'll Bring:
* Strong knowledge of software architecture principles and design patterns.
* A proactive, curious, and creative mindset with excellent organizational abilities.
* Proven capacity to work independently and collaboratively, handle multiple projects, prioritize tasks effectively, and identify actionable next steps.
* Exceptional communication skills, both written and verbal, with the ability to convey complex ideas to varied audiences.
Core Skills:
* Extensive experience in Python programming, particularly with Dash.
* Proficiency in Linux operating systems.
* Solid understanding of version control systems, such as Git.
Preferred Qualifications:
* Familiarity with scientific or biological datasets.
* Background in front-end development using, TypeScript, and Bootstrap.
* Experience with package management tools like Conda and
* Understanding of relational database systems.
* Comfortable designing and utilizing APIs, such as FastAPI and AWS Redshift.