As a Scientific Data Specialist, you will design and optimize data pipelines using Python and scientific libraries. This role requires expertise in data analysis, statistical techniques, and software development.
Key Responsibilities
* Develop and optimize complex data pipelines for large datasets.
* Apply advanced analytical methods to spectral and/or imaging data.
* Ensure the reproducibility and scalability of analysis routines.
Required Skills:
* Python: Demonstrated experience in Python for data analysis and software development.
* Spectral and Imaging Data: Expertise working with spectral and/or imaging datasets.
* Statistical Techniques: Familiarity with multivariate statistical techniques (e.g., PLS, PCA, k-fold validation).
* Version Control: Ability to work with version control systems (e.g., Git) for collaborative development and reproducible code management.
* Communication: Strong communication and problem-solving skills, with experience working in multidisciplinary teams.
Benefits:
* Autonomy in a growing research team.
* Collaboration with physicists and engineers.
* Opportunities for professional growth and development.