Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.
This position is full-time and works approximately 40 hours per week.
Department Name/Job Location:
This position is in the Department of Genetics, Division of Statistical Genomics. This position is for the Medical School Campus.
This position conducts analyses, manages data and carries out programming tasks under the supervision of DSG faculty on biomedical research projects. Additional tasks include compiling reports, charts and tables based upon statistical analysis using statistical software.
PRIMARY DUTIES AND RESPONSIBILITIES:
Analyze genetic/biomedical data using SAS and R programs, as well as custom software for genetic analysis.
Manipulate data and manage databases, including relational SAS, SQL and txt tables.
Execute quality control procedures for data and programs.
Generate accurate and thorough documentation of all work.
Participate in analytical discussions and help prepare conference presentation materials, as guided by faculty.
Comply with all DSG and Washington University regulations and policies and local, state and federal regulatory requirements.
Equivalent of Bachelor’s degree in a relevant field (such as, Math, Statistics, Computer Science or Epidemiology).
Experience and proficiency with data analysis and data management utilizing statistical packages utilized by department/s.
Master's or Ph.D. degree in biostatistics, genetic epidemiology, biocomputing, bioinformatics or a related field with two or more years of experience in statistical analysis or bachelor's degree in the same disciplines with five or more years of experience.
Advanced knowledge of applied statistics is desirable.
Excellent skills in statistical analysis and programming.
Familiarity with genetics concepts.
Demonstrated strong knowledge in use of statistical software (e.g. R, SAS, Perl, etc.) with the ability to perform statistical analysis.
Exercise good judgment and interpret results.
Good knowledge of command line functions of Linux/Unix OS, as well as knowledge of Windows or Mac OS.
Excellent verbal and written communication abilities.
Ability to operate independently and exercise good judgment.
The hiring range for this position is $47,986 - $61,194 annually.
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Please attach a copy of your most current signed performance evaluation (completed within the last 18 months) to your online account. If you have not received a performance evaluation, you may provide two current signed letters of recommendation (written within the last 18 months), preferably to include one letter from either a current or recent former supervisor. To attach these documents, go to: My Career Tools, Add Attachment, Attachment Type – Performance Reviews or Letters of Recommendation.
Washington University in St. Louis, a medium-sized, independent university, is dedicated to challenging its faculty and students alike to seek new knowledge and greater understanding of an ever-changing, multicultural world. The University offers more than 90 programs and almost 1,500 courses leading to bachelor's, master's and doctoral degrees in a broad spectrum of traditional and interdisciplinary fields, with additional opportunities for minor concentrations and individualized programs. The faculty is composed of scholars, scientists, artists and members of the learned professions. They serve society by teaching; by adding to the store of human art, creativity, understanding, and wisdom; and by providing direct services, such as health care.