2027 Future Talent Program - AI/ML Computational Toxicology - Intern

MSD Malaysia; West Point (PA); On-site; USD 39,000 - 111,000; Full time

Job summary

MSD invites you to join the AI/ML Computational Toxicology summer internship, part of our Nonclinical Drug Safety division. You will tackle multimodal toxicology datasets and apply machine learning, NLP, and LLM techniques across genomics, chemistry, and literature, under mentorship from scientists.

The program runs 10–12 weeks in the United States, with projects that culminate in dashboards and presentations to leadership. Candidates pursuing BS/MS/PhD in related fields are welcome to apply.

Qualifications

• Pursuing BS/MS/PhD in Computational Science, Data Science, Bioinformatics, Computational Biology or related field.
• Strong Python skills and ML/data wrangling experience.
• Experience with NLP and LLM tools and techniques.

Responsibilities

• Build and evaluate predictive models for toxicity risk and mechanistic hypotheses generation using multimodal pharmaceutical data.
• Develop NLP/LLM pipelines (prompting, fine-tuning, RAG) to mine unstructured reports and literature.
• Prepare dashboards (e.g., Streamlit) and present results to scientists and leadership.

Skills

Python

Statistics/ML

Data wrangling

scikit-learn

Deep learning

Git

NLP tools

Hugging Face

spaCy

NLTK

Education

BS/MS/PhD in Computational Science/Data Science/Bioinformatics/Computational Biology

Tools

Hugging Face

spaCy

NLTK

PyTorch

TensorFlow

Job description

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. Nonclinical drug safety (NDS) helps advance high-quality drug candidates into development by defining the non-clinical safety and selectivity of lead compounds. NDS employees evaluate the preclinical toxicity of drug development candidates, provide mechanistic understanding of drug-induced toxicity, and assess implications for human safety. Our Computational Toxicology group integrates toxicological expertise, data science, and AI/ML, including emerging Large Language Model (LLM) applications, to improve the safety assessment of drug candidates, accelerate decision-making, and reduce reliance on animal testing. We have multiple openings for highly motivated summer interns to join our AI/ML Computational Toxicology team. The successful candidate will work on innovative projects applying machine learning, natural language processing (NLP), and LLMs to multimodal toxicology datasets, spanning genomics, metabolomics, chemistry and structured in vivo and in vitro data as well as unstructured biomedical literature.

What you will do:

• Build and evaluate predictive models for toxicity risk and mechanistic hypotheses generation using multimodal pharmaceutical data
• Develop NLP/LLM pipelines (prompting, fine-tuning, RAG) to mine unstructured reports and literature
• Prepare dashboards (e.g., Streamlit) and present results to scientists and leadership

Education: Pursuing BS/MS/PhD in Computational Science, Data Science, Bioinformatics, Computational Biology/Chemistry, Computational Linguistics, or related field.

Required Experience and Skills:

• Proficient in Python; solid with statistics/ML and data wrangling (pandas/SQL)
• Hands-on with scikit-learn and at least one deep learning framework (PyTorch or TensorFlow)
• Comfortable with Git/GitHub and reproducible workflows
• Experience with NLP and LLM tools (e.g., Hugging Face, spaCy, NLTK) and techniques such as prompt design, fine-tuning, and retrieval-augmented generation (RAG)

Salary range: The salary range for this role is $39,108 through $111,111.

Must be available for a period of 10-12 weeks, beginning June 2027. Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company.

Employee Status: Intern/Co-op (Fixed Term)

Relocation: No relocation

VISA Sponsorship: No

Travel Requirements: No Travel Required

Flexible Work Arrangements: Not Applicable

Shift: 1st - Day

Valid Driving License: No

Hazardous Material(s): N/A

Job Posting End Date: 10/9/2026 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Our company is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where we have codified our legacy for over a century. Our success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment.

We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance