Grad Intern – Target Safety Risk Weighting and Evaluation Strategies (AI/Safety)

Location: Remote within the United States; students must be located in the United States for the duration of the internship.

Base pay: $35.34–$41.20 per hour.

Company

hirify.global is a biotechnology company developing medicines across oncology, inflammation, general medicine, and rare disease.

What you will do

• Design and integrate tools that accelerate safety assessments from early discovery through post-marketing.
• Use AI tools to aggregate, process, interpret, and report safety data.
• Integrate omics, preclinical, clinical safety, literature, and real-world evidence into risk-scoring and weighting methods.
• Generate mechanistic off-target hypotheses and pathway-level safety rationales.
• Document methods, assumptions, and limitations; contribute to the Target Safety Scoring Assessment codebase.
• Present findings to stakeholders, incorporate feedback, and prioritize high-impact use cases with toxicologists, clinical safety scientists, computational biologists, and data engineers.

Requirements

• Must be 18 or older and authorized to work in the United States for the duration of the program.
• Must have graduated with a bachelor’s degree from an accredited college or university.
• Must be currently enrolled in an accredited MBA, Master’s, PharmD, or Ph.D. program and complete the first year before the internship starts.
• Must be available to work full time and remain enrolled after the internship or co-op.
• Proficiency in Python and R for data analysis and modeling, including pandas, NumPy, scikit-learn, tidyverse, and Bioconductor.
• Proficiency with AI coding tools such as Codex and Claude.
• Experience with Jupyter or R Markdown, SQL, Git/GitHub, and environment management.
• Coursework or hands-on projects in AI/ML; familiarity with NLP, LLMs, prompt engineering, retrieval-augmented generation, and summarization.
• Experience with omics datasets, biological knowledge bases or ontologies such as GO and MedDRA, and public biology resources such as Open Targets.
• Comfort integrating heterogeneous preclinical, clinical, and literature data and mapping it to pathways and phenotypes.
• Familiarity with target safety assessment, off-target mechanisms, and translational safety principles.

Nice to have

• Degree concentration in Toxicology, Computational Biology, Bioinformatics, Computer/Data Science, Life Sciences, or a related field.
• At least one year of graduate study completed by the internship start date.
• Familiarity with APIs, simple workflow orchestration, or basic AWS cloud concepts.
• Experience building dashboards or internal utilities such as Shiny.

Culture & Benefits

• Collaborative, innovative, science-based environment focused on patient impact.
• Mentorship and regular feedback from scientists, data scientists, and engineers.
• Opportunities to present work to stakeholders and build professional networks.
• Executive and social networking events and community volunteer projects.
• Inclusive culture valuing diversity of thought and experience.

Hiring process

• Applications are accepted until a sufficient number of candidates are received or a candidate is selected; there is no fixed deadline.
• Apply through careers.hirify.global.com and search for keyword R-259961.
• Sponsorship for future full-time roles is not guaranteed.