R&D Data Sciences & AI Graduate Program – Boston, MA

Role Summary

R&D Data Sciences & AI Graduate Program is a two-year opportunity for graduates eager to build a career at the intersection of data science, AI, and drug discovery. Through three eight-month placements, you'll gain hands-on experience applying data science and AI techniques across various R&D functions and therapy areas. You’ll develop technical skills in data analysis, machine learning, and AI, while expanding your scientific knowledge and receiving mentorship from industry experts.

Responsibilities

• Apply data science, AI, and machine learning techniques to advance drug discovery and development.
• Collaborate with scientists across R&D functions and therapy areas.
• Engage in placements focusing on machine learning, AI, and data science in drug discovery and development.
• Participate in targeted identification, drug design and development, and clinical trials/digital health initiatives.

Qualifications

• Education: Bachelor's or master's degree in a quantitative science (e.g., Maths, Physics, Statistics, Computer Science) awarded in 2025 or due by September 2026.
• Experience: Hands-on experience in Data Science, AI, Machine Learning, Statistics, Computational Biology, Computational Chemistry, Bioinformatics, or Cheminformatics.
• Technical Skills: Deep understanding of key machine learning or statistical models. Proficiency in Python or multiple data-centric programming languages for Big Data analysis.
• Attributes: Innovative thinking, enthusiasm, energy, drive, strong critical thinking, planning, organizational and time management skills, and ability to work collaboratively.

Skills

• Data analysis
• Machine learning and AI
• Programming in Python and data-centric languages
• Scientific collaboration and mentorship

Education

• Bachelor's or Master's degree in a quantitative science (e.g., Maths, Physics, Statistics, Computer Science)

Additional Requirements

• Location: Based in Boston throughout the 2-year duration; no international placements.
• Start Date: September 2026; Duration: 2 years; Structure: Three eight-month placements.