2025 University Recruiting- Computational Toxicology, Nonclinical Drug Safety Intern

Job Description

The Future Talent Program features internships that last 9-12 weeks and will include one or more projects. These opportunities in our Research Labs 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 Lead Op candidates and preclinical toxicity of drug development candidates, provide mechanistic understanding of drug-induced toxicity, and assess implications for human safety.  

The successful Computational toxicology intern candidate will:

• Work closely with imaging AI scientists, pathologist, computational biologists to develop advanced AI algorithms to predict toxicity phenotypes, biomarkers leveraging digitized whole slide images and other data modalities including omics, off-target pharmacology.

• Play a pivotal role in the development and refinement of predictive models using advanced deep neural network algorithms.

• Collaborate with domain experts to interpret results and propose actionable insights.

• Effectively communicate findings through presentations and reports.

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.
 

Locations: West Point PA

Education:

• Candidates should currently be enrolled in a minimum of a BS/BA in: Computer Science, Informatics, Data science, Biology, Chemistry, Toxicology, or related discipline.

Preferred:

• G.P.A of 3.0 or higher

• Currently enrolled in a Ph.D. program specializing in chemoinformatics, computational chemistry, machine learning, data science, or related field.

• Interest in applying computational methods to toxicological assessments

• Excellent analytical skills and attention to detail

Required:

• Must be available for a period of 9-12 weeks, beginning June 2025.

• High proficiency in programming languages such as Python and R.

• Familiarity with principals of chemoinformatics

• Working knowledge of machine learning techniques and frameworks

Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected salary range:

$39,600.00-$105,500.00

FTP2025

MRL2025

Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders).  Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

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