Genomics Data Engineer Intern – Translational Toxicology

Johnson Johnson; California; On-site; USD 32,000 - 73,000; Full time

Job summary

Johnson & Johnson is seeking a summer intern for the Translational Systems Toxicology team to develop and maintain automated update workflows for our genomics-pharmacology database. You will transform genomic and pharmacological data sources into analysis-ready datasets and build reproducible pipelines for cross-functional use.

You will collaborate with scientists and engineers to accelerate decisions in preclinical safety assessments, while gaining exposure to AWS/GCP, Airflow, and

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.
• 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.

Responsibilities

• 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.

Skills

Linux

Python

R

SQL

Data cleaning

Communication

GitHub Actions

Airflow

Cloud platforms

Docker

Education

Master's or PhD in Data Science

Tools

Airflow

Prefect

GitHub Actions

Docker

AWS/Azure/GCP

SQL databases

Job description

Johnson & Johnson is seeking a summer intern for the Translational Systems Toxicology team to develop and maintain automated update workflows for our genomics-pharmacology database. You will transform genomic and pharmacological data sources into analysis-ready datasets and build reproducible pipelines for cross-functional use.

You will collaborate with scientists and engineers to accelerate decisions in preclinical safety assessments, while gaining exposure to AWS/GCP, Airflow, and