Master's degree in Biostatistics, Statistics, or Health Informatics, 3 years of experience in programming and statistical data analytics, Proficient in R, SQL, SAS, and/or Python, Solid knowledge of Multivariate Analysis and Regression.
Key responsabilities:
Analyze health plan costs and utilization trends
Provide statistical support to RD and Medical Affairs projects
Report This Job
Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
Quest Diagnostics (NYSE: DGX) empowers people to take action to improve health outcomes. Derived from the world's largest database of clinical lab results, our diagnostic insights reveal new avenues to identify and treat disease, inspire healthy behaviors and improve health care management. Quest annually serves one in three adult Americans and half the physicians and hospitals in the United States, and our 47,000 employees understand that, in the right hands and with the right context, our diagnostic insights can inspire actions that transform lives.
The company offers physicians the broadest test menu (3,000+ tests), is a pioneer in developing innovative new tests, is the leader in cancer diagnostics, provides anatomic pathology (AP) services, & interpretive consultation through its medical & scientific staff of about 900 M.D.s & Ph.D.s. The company reported 2020 revenues of $9.44 billion.
Quest Diagnostics offers the most extensive clinical testing network in the U.S., with laboratories in most major metropolitan areas, & in Mexico, the UK & India. The company also operates four esoteric laboratories, 40 outpatient AP laboratories, & 160 smaller, rapid-response laboratories.
Patients may have specimens collected in any of the company’s approximately 2,250 patient service centers. On a typical workday, testing is performed for about 550,000 patients.
Quest Diagnostics empowers healthcare organizations & clinicians with state-of-the-art connectivity solutions.
The company is the leading provider of pre-employment drugs-of-abuse screening for employers & risk assessment services for the life insurance industry. It is the world’s 2nd largest provider of clinical trials testing for new pharmaceuticals.
More information is available at www.questdiagnostics.com.
Language Assistance / Non-Discrimination Notice
Asistencia de Idiomas / Aviso de no Discriminación
語言協助 / 不歧視通知
www.QuestDiagnostics.com/home/nondiscrimination
The successful applicant will work as part of a team responsible for analyzing health plan costs and utilization trends, quality of care (process and outcomes measures), efficiency and practice pattern variation, and other relevant performance metrics. The position will also provide statistical support to general R&D and Medical Affairs projects as needed.
This professional can work in a 100% remote capacity and must be located in the US.
Data extraction from disparate sources and perform statistical analysis on large-scale laboratory data
Design statistical algorithms related to Statistical Quality Control
Apply appropriate methods and look for novel statistical approaches to solve business and research questions.
Support publications, which includes but not limited to data extraction, analysis, figures, reporting, data interpretation, presentation.
Provides expert analysis and data interpretation to a broad range of users, including both expert and lay users of complex public health data sets.
Delve into data to discover discrepancies, patterns and create visualization
Write programs in R, SQL, SAS, and / or Python for data extraction, analysis, trend recognition, reporting, hypothesis testing, and simulation studies etc.
A master’s degree in Biostatistics, Statistics, or Health Informatics is required
Background in biological and clinical sciences is a plus.
3 years of experience in programming, industry statistical data analytics and problem-solving skills.
Proficient in R, SQL, SAS, and / or Python
Solid knowledge on Multivariate Analysis, Regression, ANOVA, Mixed Models, Design of Experiments (DOE), Nonlinear or Logistic Regression, Categorical Data Analysis, Data Mining
Good at collaboration with other team members or external customers
Proficient in Microsoft, Excel, Word, and PowerPoint
Strong organization and communication skills
Ability to multi-task and manage multiple projects, from start to finish, with shifting priority levels.
Responsible, reliable, and dedicated
Keen attention to detail and Self-motivated
Exhibits a personal presence characterized by honesty, integrity and caring with the ability to inspire and motivate others.