Associate Director, Oncology Data Science Platforms

2 weeks ago


Waltham, United States AstraZeneca Full time

EMPLOYER:

AstraZeneca Pharmaceuticals LP

TITLE:

Associate Director, Oncology Data Science Platforms

LOCATION:

Waltham, MA

HOURS:

Full-Time; Mon-Fri (40 hours/week)

DUTIES:

Work in production informatics, bioinformatics, and data science to collaborate with oncology drug project teams throughout the discovery pipeline, from new target discovery to late-stage clinical trials. Lead the development and testing of internal data analysis tools and pipelines. Define and drive product strategy and lead the development of data analysis tools. Develop, test, and support data analysis tools and pipelines. Collaborate with scientists and other collaborators to cultivate, process, and analyze genomic information from oncology clinical trials that are critical to the portfolio of cancer medicines. Lead small teams of external consultants to deliver innovative computational solutions for integrated omics data analyses. Design and apply innovative computational/statistical algorithms and visualizations to generate actionable biological insights from Multi-omics data. Manage, analyze, and deliver high throughput data for Oncology Drug Discovery pipelines.

REQUIREMENTS:

Must possess a Master’s degree, or foreign equivalent, in Bioinformatics, Computational Biology, Biology or a related field, and three (3) years of experience in the job offered or in a related occupation. Pre or post Master’s degree experience is acceptable. Must possess three (3) years of experience with all of the following: Unix, Python and R; Performing SQL-like and API queries and analyzing large datasets from internal and external clinical omics or real-world evidence databases; Cloud computing including AWS and HPC; Performing quality control of results from Next-Generation Sequencing (NGS) pipelines for multiple assays including DNA, RNA, and Protein calling on the cloud and HPC; Applying computational methods and clinical applications for a core omics capability.

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