SEARCH CAREER OPPORTUNITIES

GENERAL SUMMARY OF POSITION: 

The Bioinformatician III - Statistical Geneticist is independently responsible for statistical genetic analyses of large-scale human genetic datasets. Will perform analyses of human genotyping and sequencing data and conduct meta-analyses of multiple datasets as well as genetic-epidemiologic analyses. Individual will submit publications in peer reviewed journals, present at scientific meetings, and grow in the academic environment.

MAJOR RESPONSIBILITIES:

• Lead data analyses involving human genotyping and sequencing data
• Conduct gene-environment and genetic-epidemiologic association analyses and analyze longitudinal studies
• Develop methods to facilitate large scale and custom analyses of genotype-phenotype associations
• Manage large datasets using the high-performance computing cluster
• Establish and manage genomic and proteomic databases
• Develop custom databases and web portals for managing raw and processed data
• Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology professionals, and interdepartmental project teams
• Access and analyze public genomic databases to enhance analyses
• Document the methods, analyses and all datasets used in analysis
• Provide reports of design and results for inclusion in manuscript and grant applications
• Develop or acquire new computational tools for data analysis
• Present results at scientific meetings
• Perform other duties as required

REQUIRED QUALIFICATIONS:

• Doctoral degree Preferred in quantitative genetic-epidemiology, statistical genetics, computer science, bioinformatics
• Minimal of masters degree required in statistical genetics, computer science, a related computational discipline, with experience listed below
• 3 or more years of experience and working knowledge of genetic databases and websites; strong background in computational programs such as Operating Systems (e.g., UNIX, LINUX, Windows); Scripting languages (e.g., Perl, Python, Bash, Tcl); Programming languages (e.g., Java, C/C++) and statistical programming (R or MatLab), PLINK, SAS.
• Proven ability to analyze human genotyping and sequencing data
• Thorough knowledge of methods used in complex trait genetics, genomic research projects including quality control, knowledge of potential biases and how to control for them in study design and analyses.
• Proficiency with large complex genetic data sets and high-performance computing 
• Experience with cloud-based computing
• Knowledge of epidemiologic methods and analyses including longitudinal studies
• Strong communication skills, both the oral and written necessary to interact with a wide range of individuals
• Excellent organizational and interpersonal skills
• Proven research record with high quality publications and oral presentations preferable.
• Ability to work independently with minimal supervision
• Strong analytical and problem-solving skills
• Team player, respectful and professional behavior, willing to teach and share

Highly qualified candidates will have:

• Direct experience with analyses of genotyping and sequencing data with publications
• Understanding of basic molecular biology
• Ability to manage and steer research projects
• Publications in top tier journals
• Excellent written and verbal communication skills

#LI-BK1