Computational Biologist | GenomeWeb

Computational Biologist

Organization
The Jackson Laboratory
Job Location
Farmington, CT 06032
Job Description

POSITION TITLE: Computational Biologist in Genomics of Human Aging

 

GENERAL SUMMARY

The Ucar lab at the Jackson Laboratory for Genomic Medicine (JAX-GM in Farmington, CT) is seeking an enthusiastic, highly-skilled statistician/biostatistician to analyze human epigenomics datasets. This position will involve close collaboration with several labs across the institute, including Banchereau Lab and Stitzel Lab. This position is available immediately. 

 

KEY RESPONSIBILITY

  • Develop methods to integrate, interpret, and visualize large and diverse genomic datasets to uncover regulatory changes associated with aging and age-related diseases.

     

    REQUIRED SKILLS

  • Excellent programming skills, preferentially with expertise in R and/or python and UNIX programming

  • Excellent communication skills and fully fluent spoken and written English

  • Strong problem-solving and creative thinking skills, and enthusiastic about science

     

    MINIMUM QUALIFICATIONS

  • PhD in a statistics/biostatistics or another computational field (CS, EE, Physics) with a strong foundation in statistics

  • Familiarity with machine-learning methods, and prior experience in using them for analyzing and integrating genomics data

  • Familiarity with bioinformatics resources, i.e., UCSC genome browser, NCBI

  • Familiarity with next generation sequencing data sets and pre-processing

     

    ADDITIONAL INFORMATION

    For more on Dr. Duygu Ucar and the exciting research happening in the Ucar Lab, visit: https://www.jax.org/research-and-faculty/research-labs/the-ucar-lab

     

     

    p> 

    EEO

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.

     

     

    Job Location: Farmington, Connecticut, United States

    Position Type: Full-Time/Regular

     

About Our Organization

The GRE isn't a good predictor of graduate school performance or productivity, according to two PLOS One studies.

Bitesize Bio has some advice for scientists ready to leave their current lab behind.

A trio of editors from the Nature family of journals describes what make a peer review a good one.

Spots in genetic counseling training programs are competitive, Maclean's reports.