Data Science Intern: Drug Discovery & Pipelines

CamWebDir; West Point (PA); On-site; USD 40,000 - 111,000; Full time

Job summary

CamWebDir in the United States is seeking a highly motivated Data Science intern for 10–12 weeks in 2027. You will collaborate with pharma scientists to analyze data, build pipelines, and apply ML to support drug discovery. Strong communication and academic performance are essential, with exposure to SQL, Python, and cloud data tools favored. This is a fixed-term internship in a dynamic R&D division.

Qualifications

• Currently enrolled in a full-time Data Science/CS or related Bioscience program with substantial computational coursework; at least 2 years toward BS/BA or 1 year toward MS/PhD by internship start
• Available to work full-time for 10–12 weeks beginning May or June 2027
• Superior verbal and written communication skills with a demonstrated record of strong academic achievement

Responsibilities

• Perform statistical analyses of data from and/or statistical research related to basic drug research.
• Help develop novel data pipelines to move, integrate and analyze diverse biological data for profiling therapeutic candidates or translation.
• Develop and apply computational methods and ML models to foundational data sets to improve drug discovery processes.
• Wrangle and analyze unstructured and structured data to drive translational strategies.
• Engineer data pipelines between reporting environments and core databases; design automated connectors for data transfer between enterprise databases and reporting platforms.
• Communicate data progress in internal meetings and deliver a verbal presentation at completion of training.

Skills

Communication

Academic achievement

Data analysis

Teamwork

Education

Data Science or Computer Science program

Tools

SQL

Amazon Redshift

AWS S3

DBeaver

SQL Workbench

Python

R

MATLAB

BI Tools

Job description

CamWebDir in the United States is seeking a highly motivated Data Science intern for 10–12 weeks in 2027. You will collaborate with pharma scientists to analyze data, build pipelines, and apply ML to support drug discovery. Strong communication and academic performance are essential, with exposure to SQL, Python, and cloud data tools favored. This is a fixed-term internship in a dynamic R&D division.