Omics Data Engineer – Oncology & FAIR Data

Novartis Farmacéutica; Cambridge (MA); On-site; USD 104,000 - 192,000; Full time

Job summary

Novartis Cambridge is seeking a Scientific Data Engineer at the beginning of their data journey to support modernization and automation of FAIR oncology reference datasets. You will contribute to data curation and pipeline development in a collaborative OncDS team.

The role emphasizes reproducible workflows, data quality, and scalable data operations across preclinical to clinical development. Collaboration with scientists and cross-functional partners is essential.

Qualifications

• Degree in bioinformatics, computational biology, data science, computer science, or equivalent experience.
• Experience with omics datasets in a research environment is required.
• Proficiency in Python or R and ability to develop reproducible workflows.

Responsibilities

• Develop and automate data processing workflows for oncology reference datasets.
• Collaborate with cross-functional teams to curate and improve data quality and reproducibility.
• Support lifecycle management of datasets with documentation and versioning.
• Assess data integrity and resolve issues with partners to ensure reliable downstream use.

Skills

Python

R

Data wrangling

Workflow automation

Unix/Linux

Version control

Communication

Education

Bachelor's degree in bioinformatics, computational biology, data science, or computer science

Tools

SQL

Git

Jupyter

Job description

Novartis Cambridge is seeking a Scientific Data Engineer at the beginning of their data journey to support modernization and automation of FAIR oncology reference datasets. You will contribute to data curation and pipeline development in a collaborative OncDS team.

The role emphasizes reproducible workflows, data quality, and scalable data operations across preclinical to clinical development. Collaboration with scientists and cross-functional partners is essential.