Translational Systems Toxicology Intern
Listed on 2026-10-14
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IT/Tech
Data Engineering, Data Scientist
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 Med Tech, 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.
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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://
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 Affirmitive 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.
- 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, Git Hub Actions, or similar).
- Experience with cloud platforms (AWS, Azure, Domino or GCP) and containerization (Docker).
- Prior exposure to front end design scripts (Java script, Rshiny or similar)
- Experience with version control (git) and code review practices.
- Good written and verbal communication skills; ability to explain technical work to scientific and non-technical audiences.
- Ability to work collaboratively in a cross-functional team and manage tasks independently.
- Candidates must have authorization to work in the US.
- Experience with Natural language processing and AI tools.
* This role has a flexible scheduling system once the offer has been accepted.
Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students…
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