2027 Future Talent Program - Nonclinical Drug Safety Data Scientist - Intern
About The Position
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. NDS, Non-Clinical Drug Safety, helps advance high-quality drug candidates into development by defining the non–clinical safety and selectivity of lead compounds. NDS employees evaluate Lead Op candidates and preclinical toxicity of drug development candidates, provide mechanistic understanding of drug-induced toxicity, and assess implications for human safety. NDS provides collaborative research in animal model development, veterinary medical and animal care, and research facility management. NDS also responds to regulatory questions in support of drug registration. Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of people like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.
Requirements
- Candidates should currently be enrolled in a minimum of a BS/BA in: applied math, computer science, chemistry, physics, computer engineering, biomedical engineering, or related disciplines.
- Must be available for a period of 10-12 weeks, beginning May 2027.
Nice To Haves
- G.P.A of 3.0 or higher
- Strong analytical and communication skills
- Demonstrated ability to learn new technologies
- Proficiency in Python and associated data science packages including pandas, numpy, scipy, and sk-learn
- Familiarity with pythonic frameworks for UI and dashboard creation such as Streamlet, Dash, and Plotly
- Hands-on experience analyzing multiple data types including discrete, continuous, and time-series data
- Familiarity with structured and un-structured data sources
- Familiarity with statistics, discrete math, and probabilistic modeling a plus
- Familiarity with statistical learning methods, such as supervised and unsupervised modeling
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What This Job Offers
Career Level
Intern
Education Level
Associate degree
