Statistical Geneticist


Van Andel Research Institute


Grand Rapids, Michigan

Principal Investigator

Rita Guerreiro

Principal Investigator

Jose Bras


Apply by visiting and submitting a cover letter highlighting key qualifications, current curriculum vitae with complete bibliography, and the names and contact information of two references.

This position will be open until filled and will be reviewing applications on an ongoing basis. In case of difficulty uploading your application or with any questions, please email Eric Miller at


Rita Guerreiro and Jose Bras joined VARI in November 2018 as principal investigators. Their main research focus is dedicated to understanding the genetic basis of neurological disease.

Though Drs. Guerreiro and Bras’ labs work closely together, each focuses 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 seek to add a talented statistical geneticist, to start in January/February 2019. The geneticist, in their joint lab, will be key in leading projects applying genomic technologies focused on brain and neurodegenerative disease.

  • The geneticist's tasks will include:
  • Leading the analysis of large-scale genotyping datasets from various neurodegenerative disease cohorts.
  • Developing 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.


Candidates should possess the following traits and characteristics:

  • Motivated and hardworking individual that possesses strong planning and organizational skills.
  • Be at a stage in your career to confidently take the lead on projects.
  • Bring innovation/creative thinking about science.
  • Have a strong commitment to building and maintaining a positive work environment.

Candidates should also possess a Ph.D., ideally focused on statistical genetics, as a good understanding of biology. Key areas of excellence would include:

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