Bioinformatics Engineer II: Multi-Omics Pipelines (Hybrid)

Stanford University School of Medicine; Palo Alto (CA); Hybrid; USD 108,002 - 128,138; Full time

Benefits offered by this job

Career development programs

Generous time-off

Health care benefits

Job summary

A leading research institution in California seeks a Bioinformatics Engineer II for a groundbreaking role in physical activity research. The candidate will manage data engineering tasks and develop bioinformatics applications to facilitate the project's goals. Required qualifications include expertise in ETL pipelines, advanced Python programming, and experience with the OMOP data model. This hybrid position offers a collaborative environment and opportunities for significant impact on health research.

Qualifications

• 3 years of relevant experience or a combination of education and experience.
• Proficiency in handling large-scale data.
• Experience with Python libraries like Pandas and SQLAlchemy.

Responsibilities

• Engineer, maintain, and enhance robust ETL pipelines.
• Lead transformation of clinical data into standardized formats.
• Develop workflows for scientific visualizations.

Skills

Data Engineering & ETL Pipelines

Expertise in Python for Data Engineering

Bioinformatics Software Development

Collaboration and Communication

Education

Bachelor's degree in bioinformatics, computer science, data science, statistics, or a related field

Tools

Google Cloud Platform (GCP)

OMOP Common Data Model

Job description

A leading research institution in California seeks a Bioinformatics Engineer II for a groundbreaking role in physical activity research. The candidate will manage data engineering tasks and develop bioinformatics applications to facilitate the project's goals. Required qualifications include expertise in ETL pipelines, advanced Python programming, and experience with the OMOP data model. This hybrid position offers a collaborative environment and opportunities for significant impact on health research.