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Position: Statistical Geneticist, Research Scientist
Institution: East Carolina University
Location: Greenville, North Carolina, United States
Duties: Work with faculty and staff to develop goals and strategies for data analysis and experimental design; Create, manipulate, and merge large and complex data sets; Stay informed about new methods in statistical genetics and understand how to apply them appropriately; Program statistical data analysis of large data sets efficiently using parallel computing locally and in a cloud environment; Summarize and communicate results of analyses to research faculty, staff and clinical collaborators; Interpret results; identify potential problems and their solutions; Perform simulations to support statistical methods development
Requirements: Masters degree in genetics, statistics, or a closely related field and 4 years of experience in a quantitative field of science where management and interpretation of large and complex data sets was undertaken; This training must demonstrate extensive use of advanced computational and statistical techniques; Knowledge of both the biology and statistics required for analysis of projects relating to translational, genetic, or genomic research; Demonstrated ability to detect problems in data or analytic results and find appropriate remedies; Advanced skills with R and Linux/Unix systems, experience in statistical software packages (e.g. SAS, STATA, S- Plus, SPSS) and knowledge of or demonstrated ability to learn specialized software packages for the analysis of genetic and genomic data
   
Text: Skip to Main Content Toggle navigation Home Search Jobs Applicant Interest Card Notifications Create Account Log In Help Applicants Have Rights Under Federal Employment Laws Immigration Law Related Notices Relocation Assistance Program Working at ECU Statistical Geneticist, Research Scientist Bookmark this Posting | Print Preview | Apply for this Job Please see Special Instructions for more details. East Carolina University requires applicants to submit a candidate profile online in order to be considered for the position. In addition to submitting a candidate profile online, please submit online the required applicant documents: Curriculum Vitae Letter of Interest List of Three References (noting contact information) Posting Details Job Title Statistical Geneticist, Research Scientist Position Number 500167 Vacancy Open to All Candidates Department HSH BSOM ECU Ctr for Hlth Dispariti Department Homepage https://healthdisparities.ecu.edu/ Advertising Department CENTER FOR HEALTH DISPARITIES Division Health Sciences Classification Title Research Associate Working Title Statistical Geneticist, Research Scientist Number of Vacancies 1.0 Full Time Equivalent (FTE) 1.0 Full Time or Part Time Full Time Recruitment Range Commensurate with Qualifications Position Location (City) Greenville Position Type Non-Faculty Job Category Non-Faculty Instructional & Research Organizational Unit Overview Welcome to the East Carolina University, Brody School of Medicine Center for Health Disparities (CHD). Our mission is to reduce health disparities of vulnerable populations and disadvantaged communities across the Eastern North Carolina (ENC) region through research, education and training, and community engagement and outreach. The Center’s faculty, staff, and community members work to reduce disparities in obesity, diabetes, cancers, and cardiovascular disease among rural, ethnic-minority, and low socioeconomic populations. The term “health disparities” refers to the unequal distribution of health, illness, disease, suffering and death by social status (e.g. race/ethnicity, sex/gender, socioeconomic status, geographical region, etc.). ENC consists of the 41 county region east of Interstate 95 (pink areas). Health in ENC is significantly poorer than health in the rest of North Carolina, and health in the ENC-29 counties (dark pink) is poorest of all. Prevalence and mortality (death) rates from cancers, cardiovascular diseases and diabetes are far higher in the ENC-41 and ENC-29 than elsewhere in NC. Health for all racial/ethnic groups, and for all income and education groups is poorer in ENC than in the rest of NC. Job Duties The research scientist would develop and apply statistical methods to genomic and health-related data, to discover how -Omics data contribute to human health and disease. The genetic data include variations assayed by microarrays, targeted, exome, or whole-genome sequencing and the health data cover a broad range of traits, particularly complex diseases such as stroke, diabetes, as well as responses to drug treatments. Other -Omics data include epigenetics (array) and global metabolomics. The responsibilities of this position involve the following activities: Work with faculty and staff to develop goals and strategies for data analysis and experimental design. Create, manipulate, and merge large and complex data sets. Stay informed about new methods in statistical genetics and understand how to apply them appropriately. Program statistical data analysis of large data sets efficiently using parallel computing locally and in a cloud environment. Summarize and communicate results of analyses to research faculty, staff and clinical collaborators. Interpret results; identify potential problems and their solutions. Perform simulations to support statistical methods development. Prepare results for publications, work with collaborators in writing publications and, in some cases, take the lead in writing publications. Participate in writing grant applications. Minimum Education/Experience Masters degree in genetics, statistics, or a closely related field and 4 years of experience in a quantitative field of science where management and interpretation of large and complex data sets was undertaken. This training must demonstrate extensive use of advanced computational and statistical techniques. Knowledge of both the biology and statistics required for analysis of projects relating to translational, genetic, or genomic research. Demonstrated ability to detect problems in data or analytic results and find appropriate remedies Advanced skills with R and Linux/Unix systems, experience in statistical software packages (e.g. SAS, STATA, S- Plus, SPSS) and knowledge of or demonstrated ability to learn specialized software packages for the analysis of genetic and genomic data. Experience with cloud computing. Communication skills and ability to translate complex genetic or medical research questions into statistical questions. Demonstrated ability to write clearly and prepare results for publication License or Certification Required by Statute or Regulation N/A Preferred Experience, Skills, Training/Education PhD in genetics, statistics, or a closely related field Publications in statistical genetics Working knowledge of programming language (e.g., python, perl, C++, etc) Familiarity with reproducible research principles and tools (e.g. git, R Markdown/Sweave) Special Instructions to Applicant East Carolina University requires applicants to submit a candidate profile online in order to be considered for the position. In addition to submitting a candidate profile online, please submit online the required applicant documents: Curriculum Vitae Letter of Interest List of Three References (noting contact information) Additional Instructions to Applicant In order to be considered for this position, applicants must complete a candidate profile online via the PeopleAdmin system and submit any requested documents. Additionally, applicants that possess the preferred education and experience must also possess the minimum education/experience, if applicable. Job Open Date 08/20/2021 Open Until Filled Yes Job Close Date - Positions will be posted until 11:59 p.m. EST on this date. If no closing date is indicated, the position may close at any time after the initial screening date. Initial Screening Begins 09/03/2021 Rank Level Quick Link for Direct Access to Posting https://ecu.peopleadmin.com/postings/43907 AA/EOE East Carolina University is an equal opportunity and affirmative action employer and seeks to create an environment that fosters the recruitment and retention of a more diverse student body, faculty, staff and administration. We encourage qualified applicants from women, minorities, veterans, individuals with a disability, and historically underrepresented groups. All qualified applicants will receive consideration for employment without regard to their race/ethnicity, color, genetic information, national origin, religion, sex, sexual orientation, gender identity, age, disability, political affiliation, or veteran status.Individuals requesting accommodation under the Americans with Disabilities Act Amendments Act (ADAAA) should contact the Department of Human Resources at (252) 737-1018 (Voice/TTY) or ADA-Coordinator@ecu.edu. Eligibility for Employment Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. ECU participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. Office of Human Resources Contact Information If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at (252) 328-9847 or toll free at 1-866-489-1740 or send an email to employment@ecu.edu. Our office is available to provide assistance Monday-Friday from 8:00-5:00 EST. Supplemental Questions Required fields are indicated with an asterisk (*). * Please indicate where you learned about this job vacancy. LinkedIn Chronicle of Higher Education CareerBuilder Greenville Daily Reflector Raleigh News & Observer InsightIntoDiversity.com HigherEdJobs.com InsideHigherEd.com Monster.com Indeed ECU Website Other Documents Needed To Apply Required Documents Curriculum Vitae/Resume Cover Letter List of References Optional Documents Student Employment UNC Wide Employment NC State Agencies Employment Back to top To ensure the security of your data, you will be logged out due to inactivity in 3 minutes at . 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