University of Rochester Analyst/Programmer - 231081 in Rochester, New York
Analyst/Programmer Job ID 231081Location School of Medicine & Dentistry Full/Part Time Full-Time Favorite Job Regular/Temporary Regular Opening
Full Time 40 hours Grade 053 Neurology/CTN Cell & Gene TherResponsibilities
GENERAL PURPOSE :
To support ongoing and future studies on human CNS disease by performing essential analysis tasks with data derived from microarray and high-throughput sequencing methodologies, implementing analysis workflows, managing data, presenting results, and providing input to investigators on statistical issues and experimental design. Supports other analyst(s) and works with other University groups/collaborators as appropriate for larger projects.
SPECIFIC RESPONSIBILITIES :
Works independently and takes technical initiative, to provide the following services:
Executes the analysis of bulk and single cell RNA-sequencing data to produce figures for publications and grants. 30%
Works collaboratively with lab scientists to interpret data and identify directions for future experiments. 30%
Establishes and maintains pipelines for the processing and alignment of high throughput sequencing data. 10%
Proactively seeks out and evaluates new software for the analysis of high throughput sequencing data. 10%
Keeps abreast of emerging relevant biology concepts. 10%
May coordinate the work of other analysts as assigned. 5%
Performs other related duties, including presentation of data analysis techniques and results as required. 5%
Bachelor's degree in related discipline such as Computer Science, Business, Mathematics, Statistics, Science or Engineering, and 2-3 years of related experience; or an equivalent combination of education and experience.
Strong background in statistics required.
Experience and ability with working in different programming languages, such as R, C#, Python, etc. Experience with database systems such as MySQL and SQL Server. Ability to utilize different computing platforms, primarily Windows and Linux/UNIX. Knowledge and experience with high performance computing (cluster) environments preferred. Experience with building reusable and reproducible data analysis workflows also preferred.
NOTE: This document describes typical duties and responsibilities and is not intended to limit management from assigning other work as required.
How To Apply
All applicants must apply online.
EOE Minorities/Females/Protected Veterans/Disabled