BACKGROUND

RESPONSIBILITIES

• Develop, benchmark and implement data analysis pipelines for SNP genotyping data
• Evaluate significance of results and recommend changes in experimental design to improve results
• Develop, benchmark and implement methods to use genotyping data to inform pedigrees
• Identify new experimental and/or analytic approaches that will improve the outcome of the study
• Manage collaborations with laboratory and informatics staff
• Successfully communicate scientific concepts to a diverse community of scientists and laypeople

REQUIREMENTS

• Doctorate degree in statistical genetics, population genetics, statistics or a related field.
• Candidates should have a track record of productive research in statistical and population genetics
• Experience in human population genetics and genotyping
• Ability to manipulate large data sets
• Programming skills in UNIX/LINUX operating systems, and fluency in standard genetic analytic software (such as R/Bioconductor, EIGENSOFT, MACH, PLINK, ADMIXMAP)
• Excellent organizational skills
• Superior oral and written English communication skills required.
• Must be able to manage multiple simultaneous long-term projects while meeting frequent project deadlines in a fast-paced environment.
• Must be able to translate high-level biological questions into concrete tasks
• Must have the ability to operate independently and interface with team members to achieve the needed results.

PREFERENCES

• Experience in molecular biology and high-throughput environments would be a significant advantage.

TERMS

LOCALE

COMPENSATION

HOW TO APPLY

DEADLINE