Data Science Summer Intern

At Johnson & Johnson, we believe health is everything.

Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:
Career Programs

Job Sub Function:
Non-LDP Intern/Co-Op

Job Category:
Career Program

All Job Posting Locations:
Cambridge, Massachusetts, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements.

Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements.

Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

In this role, you will work with colleagues in the JNJ Innovative Medicine R&D Data Science & Digital Health organization and partner with key businesses across JNJ Innovative Medicine (formerly Janssen) to apply advanced data science and analytics to answer key research questions.  As an intern, you will get the opportunity to work on cutting-edge problems at the intersection of machine learning and drug discovery.

You will be a member of a dynamic team comprising data scientists and subject matter experts to create and iterate on data science solutions.

Projects include, but are not limited to, developing, and applying predictive and generative machine learning methods for molecular property prediction with the ultimate goal of drug discovery.

Interns could be located out of Leiden office as well as remote.

 

Minimum qualifications: 


* Currently pursuing a Masters or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline.


* Strong working knowledge of machine learning with demonstrated research experience, as evidenced by publications, public code contributions, or equivalent.


* Proficiency in Python and hands-on experience with Deep Learning frameworks such as PyTorch or TensorFlow to tackle scientific problems.


* Strong tech...