Statistical Geneticist - Brain and Neurodegenerative Disease

Van Andel Institute   •  

Grand Rapids, MI

Industry: Education, Government & Non-Profit

  •  

Not Specified years

Posted 61 days ago

This job is no longer available.

VARI has seen immense growth in the past year, hiring over 6 new Principal Investigators to start research labs with the goal of improving health and enhancing the lives of current and future generations.

Two of these new Principal Investigators, Rita Guerreiro, Ph.D. and Jose Bras, Ph.D., will be joining VARI in November 2018. Their main research focus is dedicated to understanding the genetic basis of neurological disease. Though Drs. Guerreiro and Bras' labs work closely together, they each focus on different approaches in their research.

Dr. Guerreiro's interests include the analysis of genetic variability in several neurological diseases (including Parkinson and Alzheimer's diseases) and more broadly trying to understand how genetic variants affect the disease process at the molecular level.

Dr. Bras' research interests are primarily directed at how genetic variability acts on neurodegenerative diseases, using a bioinformatics/computational biology approach.

They are actively seeking to add a talented Statistical Geneticist, to start in January/February 2019. As a Statistical Geneticist, in their joint lab, you will be key in leading projects applying genomic technologies focused on brain and neurodegenerative disease.

In this role, you would be tasked to:

  • Lead the analysis of large-scale genotyping datasets from various neurodegenerative disease cohorts.
  • Develop methods to analyze cohort-level data from whole-exome and whole-genome sequencing data.
  • Use large-scale genetic data to perform cross-disease analysis.
  • Develop methods to integrate genetic data with molecular and high-level phenotype datasets.

You also should possess the following traits and characteristics:

  • Motivated and hardworking individual that possesses strong planning and organizational skills.
  • You are at a stage in your career where you can confidently take the lead on projects.
  • Brings innovation/creative thinking about science.
  • A strong commitment to building and maintaining a positive work environment.

You also possess a Ph.D., which is ideally focused on Statistical Genetics, but it is important for you to have a good understanding of biology. The key areas you excel in would include:

  • Statistical genetics
  • Data mining
  • Genome-wide association studies
  • High performance cluster computing
  • Scripting and statistical language (ideally Python and R)