R&D Data Science & Digital Health DSAI Intern Summer

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 ;br>
Position Components:

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 ground breaking 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.

Candidates could be located out of Leiden office as well as remote; must be available to work 10-12 weeks from May 2025 - August 2025 and are required to work full-time per week during that time.

Responsibilities:

• Development and evaluation of predictive and generative machine learning algorithms to analyze molecular datasets for drug discovery.
• Collaborate closely with other machine Learning scientists, computational biologist and chemists to develop and complete a research project.
• Document and disseminate research findings internally and externally (e.g.- publishing in top-tier ML conferences/journals)

Qualifications

• Currently pursuing a PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative field.
• 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 technical communication and presentation skills.
• Ability to understand academic research papers.

Preferred:

Experience in one or more of the following:

• Extensive research experience working with sequence modelling (e.g.- with Large Language Models (LLMs)) and/or Graph Neural Networks (GNNs).
• Knowledge and interest in drug discovery and experience working with drug discovery datasets, including graph, sequence, and/or structure-based data.

The anticipated base pay for this position is Sophomore $25.00/hr, Junior $26.00/hr, Senior $28.00/hr, Master's degree $33.00/hr.

Ineligibility for severance.

This job posting is anticipated to close on 02/26/2025. The Company may however extend this time-period, in which case the posting will remain available on to accept additional applications.

Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or ) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.