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University of Rochester Analyst/Programmer - 231081 in Rochester, New York

Analyst/Programmer Job ID 231081

Location 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 Ther

Responsibilities

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%

    REQUIREMENTS :

    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.

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