# Translational Systems Toxicology Intern at Johnson & Johnson

AI Level 1, AI centrality 0 out of 100. La Jolla, California, United States of America.

## Details

- Company: [Johnson & Johnson](https://jobsbylevel.com/companies/johnson-johnson)
- AI level: AI Level 1 (score 0 out of 100)
- Location: La Jolla, California, United States of America
- Salary: $24-$53/hr
- Posted: October 6, 2026
- Apply: https://jobsbylevel.com/go/4e3b227b-75fe-48b1-a6fb-164a3adcbe69

## Description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Career Programs Job Sub Function: Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: La Jolla, California, United States of America Job Description: Job Description Janssen Research & Development, L.L.C. develops treatments that improve the health and lifestyles of people worldwide. Research and development is focused on novel targets for autoimmune and inflammatory diseases, but also includes CNS, oncology and metabolic disorders. For more about Janssen Pharmaceuticals, Inc., one of the Pharmaceutical Companies of Johnson & Johnson, visit http://www.janssenpharmaceuticalsinc.com Join the Translational Systems Toxicology team as a summer intern and drive the development and maintenance of automated update workflows for our genomics-pharmacology database, a critical resource for advancing our pipeline. Transform genomic and pharmacological data sources into structured, analysis-ready datasets, and build reliable, reproducible pipelines that keep the database current. Partner with scientists and engineers across functions to accelerate decisions in preclinical safety assessment. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Responsibility • Development and maintenance of automated database update workflows (scheduling, monitoring, alerts) to ensure timely, reproducible refreshes for our existing database. • Support and improve existing database integration pipelines to ingest and harmonize preclinical and clinical datasets (genomics, pharmacology, toxicology, chemistry/assay results, etc.), including data cleaning, harmonization, verification, and annotation. • Build and maintain reproducible analysis scripts and dashboards to support exploratory analysis and reporting. • Document data models, pipelines, SOPs, and work instructions to enable hand-off and reuse. • Collaborate closely with safety scientists, bioinformaticians, and data engineers to refine requirements and prioritize tasks. • Follow data security, privacy, and compliance practices for handling sensitive research data. Qualifications Currently enrolled in a Master’s, or PhD program in Data Science, Bioinformatics, Biostatistics, Computational Biology, Computer Science, Engineering, or a related quantitative discipline. Strong foundation in programming (Linux, Python or R) and experience writing reproducible code. Working knowledge of biological, genomics and toxicology concepts. Working knowledge of SQL and relational databases. Familiarity with data cleaning, transformation, and basic exploratory data analysis. Experience with workflow/orchestration tools (Airflow, Prefect, GitHub Actions, or similar). Experience with cloud platforms (AWS, Azure, Domino or GCP) and containerization (Docker). Prior exposure to front end design scripts (Javascript, Rshiny or similar) Experience with version control (git) and code review practices.

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Source: https://jobsbylevel.com/jobs/translational-systems-toxicology-intern-at-johnson-johnson-af1d49

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