Responsible for planning data collection, and analyzing and interpreting numerical data from experiments, clinical studies and surveys; apply statistical methodology to provide information for scientific and clinical research; perform statistical analysis of data collected; prepare numerical information for presentations; prepare statistical sections of research protocols and scientific publications; utilize experiment design, sampling theory, simulation study, Python, large medical claim data, categorical data analysis, Cox PH, shrinkage regression, LASSO, ENET, adaptive ENET, tree-based algorithms, CART, random forests, inverse probability weighting, propensity score weighting, Linux, Git, ggplot2 (data visualization tool), categorical analysis, survival analysis, longitudinal analysis, power analysis, missing data analysis, statistical simulation, mediation analysis, weighting methods, epidemiology, machine learning, Excel VBA, R, R-Shiny, Python, data wrangling, data visualization, Hypothesis testing, Linear Regression Modeling, Logistic Regression Modeling, Residual Analysis, SAS and random/mixed effects models to perform duties; evaluate reliability of source information, adjust and weigh raw data, and organize results into a form compatible with analysis by computer or other methods; assist investigators with the design of complex studies by planning methods to collect information and by developing questionnaires and sampling techniques; analyze data using diverse statistical methods from univariate statistics to complex multivariate techniques, as well as utilizing appropriate statistical packages; present numerical information in the form of customized tables and figures by advanced tools; and assist investigations with the designing of research studies or projects.

Location : Detroit, Michigan and multiple undetermined worksites throughout the US .

"DNS"

#LI-DNI"

Education: Masters Degree in Biostatistics, Statistics, Applied Statistics, or in a related field of study (will accept equivalent foreign degree);

Training: None.

Experience: None.

Other Requirements: M ust have completed one (1) academic semester of coursework or research work that included use of all the following:Excel VBA, R, R-Shiny, Python, data wrangling, data visualization, Hypothesis testing, Linear Regression Modeling, Logistic Regression Modeling, Residual Analysis, SAS and random/mixed effects models.

Will also accept any suitable combination of education, training and/or experience.

Additional Information

• Organization: Henry Ford Medical Group

• Department: Research Design and Analysis

• Shift: Day Job

• Union Code: Not Applicable

  Additional Details

  This posting represents the major duties, responsibilities, and authorities of this job, and is not intended to be a complete list of all tasks and functions. It should be understood, therefore, that incumbents may be asked to perform job-related duties beyond those explicitly described above.

Overview

Henry Ford Health partners with millions of people on their health journey, across Michigan and around the world. We offer a full continuum of services – from primary and preventative care to complex and specialty care, health insurance, a full suite of home health offerings, virtual care, pharmacy, eye care and other health care retail. With former Ascension southeast Michigan and Flint region locations now part of our team, Henry Ford’s care is available in 13 hospitals and hundreds of ambulatory care locations. Based in Detroit, Henry Ford is one of the nation’s most respected academic medical centers and is leading the Future of Health: Detroit, a $3 billion investment anchored by a reimagined Henry Ford academic healthcare campus. Learn more at henryford.com/careers .

Benefits

The health and overall well-being of our team members is our priority. That’s why we offer support in the various components of our team’s well-being: physical, emotional, social, financial and spiritual. Our Total Rewards program includes competitive health plan options, with three consumer-driven health plans (CDHPs), a PPO plan and an HMO plan. Our team members enjoy a number of additional benefits, ranging from dental and eye care coverage to tuition assistance, family forming benefits, discounts to dozens of businesses and more. Employees classified as contingent status are not eligible for benefits.

Equal Employment Opportunity/Affirmative Action Employer

Equal Employment Opportunity / Affirmative Action Employer Henry Ford Health is committed to the hiring, advancement and fair treatment of all individuals without regard to race, color, creed, religion, age, sex, national origin, disability, veteran status, size, height, weight, marital status, family status, gender identity, sexual orientation, and genetic information, or any other protected status in accordance with applicable federal and state laws.