Preparing AI-ready datasets (e.g. linked molecule data, harmonization of clinical trial related datasets, opportunity to design user-relevant clinical data management processes as part of an expert FAIR data), including feature engineering and data quality checks; conduct analysis, and exploratory research across active projects.
Train, evaluate, and fine-tune machine learning models under guidance from senior scientists.
Implement and test ML algorithm or small prototypes to support ongoing research.
Contribute to model performance reporting, experiment tracking, and clear documentation.

Requirements

Currently working on completion of a Bachelor’s or Master’s or PhD degree in Data Science, Computer Science, Statistics, Bioinformatics, Physics, Cheminformatics, or a related field.
Candidates must be available to work full-time on-site beginning on June 1, 2026 to August 14, 2026.
Strong coding skills in Python and/or R, SAS, with experience using common data science libraries.
Familiarity with cloud platform such as AWS, Azure for data processing or model development.
Solid understanding of machine learning fundamentals and experience working with real-world datasets is preferred.
Excellent communication and interpersonal skills.
Versatility, flexibility, and a willingness to work within constantly changing priorities with enthusiasm.

Benefits

Gain hands-on experience and develop practical skills that prepare you for a successful career.
Connect with professionals and peers in a company where sustainability drives every decision and action.
Join a community that values and respects every individual—regardless of background, beliefs, or identity.
Work in an environment that encourages open-mindedness, learning, and collaboration to create a better future together.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonRSASmachine learningfeature engineeringdata quality checksdata analysisexploratory researchmodel performance reportingexperiment tracking

communicationinterpersonal skillsversatilityflexibilitywillingness to work under changing priorities