2027 Future Talent Program - Data Science - Intern
About The Position
The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals. The Quantitative Biosciences department is looking for a highly talented and motivated data science student to join our ranks. Collaborating closely with experienced pharmaceutical industry scientists, the chosen candidate will apply their skills in data analysis to contribute to the discovery and advancement of novel medicines across multiple therapeutic areas.
Requirements
- Currently enrolled in a full-time degree program in Data Science / Computer Science or a related Bioscience discipline with substantial computational coursework
- Completed at least 2 years of studies toward BS/BA or at least 1 year towards master’s/PhD by the start of the internship
- Available to work full-time for 10-12 weeks beginning in May or June of 2027
- Superior verbal and written communication skills
- Demonstrated record of strong academic achievement
Nice To Haves
- Database & SQL Proficiency
- Exposure to cloud data warehouses (Amazon Redshift, AWS S3) and database clients (DBeaver, SQL Workbench).
- Experience working with large data sets including the use of analytical and visualization software programs (Visual Analytics / BI Tools).
- Experience in at least one coding language (Python/R/MATLAB).
- Self-motivated and detail-orientated with excellent record keeping and organizational skills
Responsibilities
- Perform statistical analyses of data from and/or statistical research related to basic drug research.
- Help develop novel data pipelines that move, integrate and analyze diverse sources of biological data that aid in the profiling of therapeutic candidates or improving the chances of translation.
- Develop and apply computational methods and machine learning models to foundational data sets to improve drug discovery processes.
- Help wrangle and analyze unstructured and structured data that will drive new translational strategies for the company.
- Engineering data pipelines between reporting environments and core databases: design and implement automated data connectors to establish seamless, bidirectional or automated data transfer between enterprise databases and reporting platforms.
- Communicate data progress during internal meetings; deliver a verbal presentation at the completion of training; participate in scientific exchange with our Company scientists.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Associate degree
