Data Analytics Science Analyst

Overview

Data Analytics Science Analyst 4 – Department:
Medicine | Neurology

As a Senior Research Data Scientist within the Department of Neurology, you will lead the development and implementation of advanced analytical frameworks, including distributed computing and machine learning, and high-fidelity agent-based simulations. You will apply complex bioinformatics concepts to design and implement the analysis of large datasets of multi-omics data to decipher alterations in gene expression regulation in the context of neurodegenerative diseases.

Projects may require web-based tool development and minor IT assistance as requested. You will mentor junior analysts and contribute to knowledge transfer through training and scholarly publications, and you may develop open-source tools to empower the broader research community.

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Location:

Biomedical Research Tower (0112). Position Type:
Regular. Scheduled

Hours:

40. Shift: First Shift.

• Spearhead development and implementation of analytical frameworks, ranging from distributed computing and machine learning to high-fidelity simulations.

• Apply bioinformatics concepts to analyze large multi-omics datasets to understand gene expression regulation in neurodegenerative diseases.

• Provide ad-hoc technical support and build/modify tools for analysis of diverse biological data. Maintain and develop pipelines to process sequencing data including whole-genome bisulfite sequencing, ATAC-seq, RNA-seq, single-cell and spatial transcriptomics.

• Create visual summaries of data, pilot new analysis tools, and collaborate with storage/compute resources (e.g., AWS) for processing needs.

• Collaborate with a team of molecular/cellular biologists and neuroscientists performing statistics-based analysis to achieve high-impact results.

• Contribute to web-based tool development and provide minor IT assistance as needed.

• Mentor junior analysts, facilitate knowledge transfer through training and scholarly publications, and develop open-source tools to support the research community.

• PhD in Biology, Neuroscience, Computer Science, Bioinformatics, or a related field with previous experience in a research setting.

• 6 years of relevant experience required; 8-12 years of relevant experience preferred.

• Requires successful completion of a background check; qualified candidates may be asked to complete a pre-employment physical, including a drug screen.

• Final candidates are subject to a successful background check. A drug screen or physical may be required during the post-offer process.

• The university is an equal opportunity employer, including veterans and disability.