Data Scinetist

Responsibilities:

• Provide data management, manipulation, cleaning, and analysis support for omics research projects.
• Develop and present reports of analytic findings to internal and external investigators and teams.
• Prepare tabular, graphical, and narrative summaries of findings suitable for publication.
• Support the development of abstracts, manuscripts, and funding applications under the direction of the Investigators.
• Implement cutting-edge and newly developed algorithms and software tools for analyzing multidimensional omics data, either independently or as part of a team, within a reproducible research environment.
• Building analysis workflows/pipelines and automated functions for repetitive summaries and analyses.
• Maintain and manage coding libraries and team resources in line with advanced standards.
• Provide expertise in statistical analysis and bioinformatics function on small to intermediate-scale projects.
• Present technical aspects of development to the research team.
• Participate in the development of funding applications to drive future work.

Key Skills:

• Statistical Analysis and Mathematics. 
• Programming and Software Engineering. 
• Data Manipulation and Visualization. 
• Machine Learning & Artificial Intelligence.
• Deep Learning. 
• Natural Language Processing.
• Big Data. 
• Cloud computing.