As member of a research team, the Statistical Genetic Analyst II will conduct multi-level genomic models and novel biostatistical analyses to identify novel markers of Alzheimer's disease risk and resilience. The successful candidate will: have the opportunity to work on large-scale consortium datasets; work in a team environment with supervision; apply existing genetics and statistical tools and/or develop new methods such as machine learning; provide statistical expertise in study design; manage databases; prepare and implement analysis plans; summarize and present results for written reports and oral presentations; and assist in manuscript and grant writing. Projects include genome-wide associations, whole exome/genome sequencing, RNA sequencing, gene co-expression network analysis, and metabolomic and proteomic studies.
Master's degree in statistics, computer science, bioinformatics, human genetics, or a related field.
Experience in Unix/Linux systems including HPC environments.
Scripting languages: Python or Perl.
Statistical packages: R (preferred) or MATLAB
Collaborate as a member of a research team on the design of a research project.
Provide statistical genetic expertise in the design of research projects, focusing on fundamental issues including specification of hypotheses and basic study design.
Assist the research team in the design of methods to collect information, including the design of questionnaires and other data collection instruments, following the study design developed for the research program.
Participate in the development of operations and procedures for the collection, editing, verification and management of data.
Assist in preparing preliminary plan for analysis of a research study; present such plans to the research team, and prepare final analysis plans based on team input.
Collaborate as a member of a research team on the implementation and analysis of a research project.
Implement planned analysis, including data verification and data correction as necessary, using one or more systems of computer hardware and statistical genetic analysis software for the management and analysis of data.
May assign and direct the work of technical staff engaged in the collection or analysis of statistical data
Manipulate standard data formats to create input and output formats for statistical genetic analysis software.
Assist in the publication of research projects.
Participate in the preparation of written reports and oral presentations summarizing data analysis results, including detailed description of statistical genetic methods, detailed analysis of results, and synthesis of conclusions from summary tables.
Internal Number: 2000456
About Vanderbilt Health
Vanderbilt University Medical Center is home to Vanderbilt University Hospital, The Monroe Carell Jr. Children’s Hospital at Vanderbilt, the Vanderbilt Psychiatric Hospital and the Vanderbilt Stallworth Rehabilitation Hospital. These hospitals experienced more than 61,000 inpatient admissions during fiscal year 2015. Vanderbilt’s adult and pediatric clinics treated nearly 2 million patients during this same period.Vanderbilt University Hospital and the Monroe Carell Jr. Children’s Hospital at Vanderbilt are recognized again this year by U.S. News & World Report’s Best Hospitals as among the nation’s best with 18 nationally ranked specialties. Vanderbilt University Medical Center is world renowned because of the innovation, work ethic and collegiality of its employees. From our health care advances to our compassionate care, Vanderbilt owes its accomplishments and reputation to staff and faculty who bring skill and drive and innovation to the medical center day after day. World-leading academic departments and comprehensive centers of excellence pursue scientific discoveries and transformational educational and clinical advances across the entire spectrum of health and disease.As th...e largest employer in middle Tennessee, we welcome those who are interested in ongoing development in a caring, culturally sensitive and professional atmosphere. Most of us spend so much of our lives at work, we want to be part of maintaining a workplace in which people support one another and encourage reaching for excellence. Many high-achieving employees stay at Vanderbilt because of the professional growth they experience and because of their appreciation of Vanderbilt’s benefits, public events and discussions, athletic opportunities, beautiful setting and, above all, sense of community and purpose.Vanderbilt and its employees share a set of mutual expectations that have been created with productivity, legality, fairness and safety always in mind. We believe that our investment in training and compensating employees multiplies in value when we enable individuals to deliver their best performance for the benefit of us all.