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Boston, MA

Internship

Onsite

$39K/yr - $111K/yr

Intern

Merck is a pharmaceutical company offering internships through its Future Talent Program within its Research and Development Division. The Nonclinical Drug Safety Data Scientist Intern will support projects involving lead compound evaluation, preclinical toxicity, animal model development, mechanistic research, and regulatory support for drug registration.

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Responsibilities

The Future Talent Program features internships that last up to 12 weeks and will include one or more projects
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

Qualification

Required

* 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
Clinical Research, Computer Science, Data Analysis, Database Management, Data Modeling Techniques, Data Science, Data Security, Data Structures, Pandas Python Library, Pharmacovigilance, Plotly, Probabilistic Modeling, Project Management, Python (Programming Language), Python Numpy, scikit-learn, SciPy, Software Proficiency, Statistical Inferences, Statistical Models, Statistics, Statsmodels, Time Series Analysis, Unstructured Data
No relocation
No
No Travel Required

Preferred

* 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

Benefits

Great development and a chance to see if we are the right company for your long-term goals.
The opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.

Merck is a biopharmaceutical company that offers medicines and vaccines for various diseases.

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