Grad Intern – Target Safety Risk Weighting and Evaluation Strategies

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and implement tools that enhance safety evaluations from initial discovery through to post-marketing stages.

• Create workflows that incorporate molecular -omics datasets, clinical adverse event information, and internal pre-clinical model data.

• Uncover mechanistic insights and evaluate or prioritize potential safety issues.

• Collaborate with toxicologists, clinical safety scientists, computational biologists, and data engineering partners to support non-clinical safety strategies.

• Utilize and enhance AI tools for data aggregation, processing, interpretation, and automated report generation.

• Merge public and internal multimodal data, including omics, preclinical findings, clinical safety signals, and real-world evidence, into risk-scoring frameworks.

• Develop mechanistic off-target hypotheses and pathway-level safety justifications.

• Document methodologies, assumptions, and limitations comprehensively.

• Contribute to the Target Safety Scoring Assessment codebase.

• Share progress and findings with TSRS stakeholders and integrate their feedback.

• Work with TSRS team members to identify and prioritize high-impact use cases.

⛳️ Requirements

• Availability for a full-time work schedule is required.

• Continued enrollment in an accredited college or university is expected following the internship program/co-op.

• The student must reside in the United States throughout the internship period.

• Must be at least 18 years of age.

• A bachelor’s degree from an accredited college or university is required.

• Currently enrolled in an MBA program for an MBA internship, a Master’s program for a Master’s internship, a PharmD program for a PharmD internship, or a Ph.D. program for a PhD internship.

• The first year of the applicable graduate program must be completed before the internship begins.

• A degree concentration in Toxicology, Computational Biology, Bioinformatics, Computer/Data Science, Life Sciences, or a related field is preferred.

• Completion of at least one year of graduate study by the start of the internship is preferred.

• Proficiency in Python and R for data analysis and modeling, including pandas/NumPy/scikit-learn and tidyverse/Bioconductor.

• Familiarity with AI coding tools such as Codex and Claude is essential.

• Experience with Jupyter/R Markdown, SQL, Git/GitHub, and environment management is required.

• Coursework or hands-on projects in AI/ML; familiarity with NLP/LLMs, prompt engineering, retrieval-augmented generation, and summarization is a plus.

• Experience with -omics datasets and biological knowledge bases/ontologies such as GO and MedDRA, as well as public biology resources like Open Targets or similar.

• Comfort with integrating diverse preclinical, clinical, and literature data and mapping to pathways/phenotypes is necessary.

• Familiarity with target safety assessment, off-target mechanisms, and translational safety principles is expected.

• Familiarity with APIs or basic workflow orchestration; fundamental cloud literacy, with AWS knowledge as a plus.

• Experience in building dashboards or internal utilities such as Shiny is advantageous.

• Candidates must have authorization to work in the U.S. for the duration of the program.

• Future sponsorship for full-time employment roles is not guaranteed.

🏝️ Benefits

• Opportunity to make a real-world impact through tools that guide target safety assessments and decision-making processes.

• Comprehensive experience from problem identification and data ingestion to evaluation, validation, and communication.

• Exposure to translational safety science, mechanistic biology, real-world datasets, multi-omics datasets, and literature-based evidence.

• Regular mentorship and feedback from TSRS scientists, data scientists, and engineers.

• Opportunities to present findings to stakeholders.

• Guided research experience in a collaborative, mission-driven environment.

• Competitive benefits package.

• Supportive and collaborative workplace culture.

• Emphasis on professional and personal growth and well-being.

• Access to executive and social networking events.

• Participation in community volunteer projects.

• An inclusive culture that values diverse thoughts and experiences.

• Provision of reasonable accommodations for individuals with disabilities.

• Full-time internship opportunity available.