look for more than answers at quest we are on a continuous journey of discovery and development its this attitude that has made us an industry leader and the 1 diagnostic lab in the us for those joining us we offer exciting and fastmoving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope while we invest in and develop technology to drive our innovations our ongoing success relies on our people as a data scientist you will work for the world leader in the industry with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge you can make a real impact in a market that is growing and developing data scientist the role the data scientist will support the franchises by using internal quest diagnostics data and externally purchased market data to inform key business decisions the main purpose of this role is to turn data into insights that drive key decisions for the organization and our clients job responsibilities provide biostatistical consultation to clients or colleagues analyze archival data such as laboratory medical prescription and death records read current literature attend meetings or conferences and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as actuarial sciences data science biostatistics risk management pharmacology life sciences and social sciences prepare articles for publication or presentation at professional conferences calculate sample size requirements for studies write program code to analyze data and develop predictive models using sas statistical analysis software write detailed analysis plans and descriptions of analyses and findings for research protocols or reports prepare tables and graphs to present data or results draw conclusions or make predictions based on data summaries or statistical analyses develop or implement data analysis and reporting algorithms design research studies in collaboration with physicians life scientists underwriters or other professionals analyze data using statistical approaches such as longitudinal analysis mixed effect modeling logistic regression analyses proportional hazards regression and other model building techniques to qualify the ideal candidate will have the following bachelors degree in actuarial sciences biostatistics mathematics risk management data science or other closely related field experience and demonstrable success will be considered in place of education masters degree in actuarial sciences biostatistics or data science preferred experience working with datasets in the life insurance andor health care industries experience with sas strongly preferred experience with other statistical languages such as r and python will be considered knowledge of arithmetic algebra geometry calculus statistics and their applications ability to use advanced statistics and mathematics to solve problems and develop models additional skills preferred statisticsmathematics using advanced statistics and mathematics to solve problems and develop models critical thinking using logic and reasoning to identify the strengths and weaknesses of alternative solutions conclusions or approaches to problems complex problem solving identifying complex problems and reviewing related information to develop and evaluate options and