Overview

Asst Dir Coding & Data Quality Jobs in New Brunswick, NJ at Rutgers University

Position Details

Position Information

Recruitment/Posting Title
Asst Dir Coding & Data Quality

Job Category
Staff & Executive – Executive – Other Executive Positions

Department
Inst-Hth,Hth Care Pol&Agng Res

Overview
New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research.

Our faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy, public health, nursing, biomedical research, and the full spectrum of allied health careers.

Our clinical and academic facilities are located throughout the state—at Rutgers University–New Brunswick, including Piscataway; and at locations in Newark, Scotch Plains, Somerset, Stratford, and other locations. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, Newark’s University Hospital in Newark, and other affiliates.

Through this community of healers, scientists, and scholars, Rutgers is equipped as never before to transform lives.

Posting Summary
Rutgers, The State University of New Jersey is seeking a Assistant Director of Coding & Data Quality for the Center for Pharmacoepidemiology and Treatment Science (P E T S ) within Rutgers University Behavioral Health Care.

The primary purpose of the Assistant Director of Coding & Data Quality is to manage the numerous and complex Electronic Health Record and administrative claims data from the various datasets held and used within the Center (including Centers for Medicare & Medicaid Services [CMS] data, Clinical Practice Research Datalink, MarketScan, and other electronic healthcare data sources). The Asst Dir Coding & Data Quality manages the associated analytics and reporting; oversees support and research operations with ongoing data; and oversees the Center analytical efforts with regards to the data. The Asst Dir Coding & Data Quality will conduct complex analyses using healthcare datasets within an ever-expanding grant portfolio within the Center. Working with internal and external data providers and project teams to build analytical plans, build and manage databases, and complex analyses. The Asst Dir Coding & Data Quality is responsible for ensuring that analytical best practices are taken by all junior analysts with regards to management, organization, data cleaning, and compliance with regards to the Center’s data. The Asst Dir Coding & Data Quality will serve as a leader and subject matter expert with regards to data analysis and advanced analytics within the Center. This individual will serve as a co-author on papers, provide advanced statistical analysis, and provide direct support on research proposals and analytical plans.

Among the key duties of this position are the following:

Oversees and manages all aspects of data administration, data management, security and data analytics required to support the PETS Center and its project initiatives.
Oversees the performance and process improvement data analytics and reporting for all offerings working closely with the data management team and faculty to define the metrics and reporting requirements.
Apply advanced knowledge of statistical theory and practice to analytic work and provide high-level statistical consultation and expertise to federally funded projects including the selection of appropriate statistical modeling strategies to appropriately address research questions and test hypotheses in pharmacoepidemiology studies
Maintain high-level expertise in advanced statistical techniques for pharmacoepidemiology, treatment science, health services, and outcomes research.
Implement modeling strategies in health care “big data” to address critical population health questions.
Plan and implement use of sophisticated methodological tools to reduce confounding in large observational outcomes studies; contribute to research proposals and peer-reviewed articles serving as co-author on articles and reports to funding agencies.
Co-lead dissemination and implementation efforts (e.g., articles, papers, conference presentations) in areas of specialization.
Performs advanced and technically challenging data extraction, analysis, cleansing, mapping, complex linkages, and files as need per individual statistical analysis plans for Center and project initiatives.
Manages, directly or indirectly other Center data analysts who are responsible for study analytics and data quality control.
Leads the evaluation of the appropriate applications, data resources, and environment for the Center’s strategic Center and project level planning in conjunction with the Center’s operations and research leadership team and Center Core Faculty; conducts pilot and feasibility testing using the Center’s data resources.

FLSA
Exempt

Grade
34S

Salary Details

Minimum Salary
124208.00

Mid Range Salary
157123.00

Maximum Salary
190037.00

Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Benefits
Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:
Medical, prescription drug, and dental coverage
Paid vacation, holidays, and various leave programs
Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
Employee and dependent educational benefits
Life insurance coverage
Employee discounts programs

For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview.

Position Status
Full Time

Working Hours (per week)

Standard Hours
37.50

Daily Work Shift

Work Arrangement
Consistent with the current application of Rutgers Policy 60.3.22 or the applicable provisions of relevant collective negotiations agreements, this position may be eligible for a hybrid work arrangement. Flexible work arrangements are not permanent, are subject to change or discontinuation, and contingent on the employee receiving approval in the FlexWork@RU Application System.

Union Description
MPSC – Legacy UMD

Payroll Designation
PeopleSoft

Seniority Unit

Terms of Appointment
Staff – 12 month

Position Pension Eligibility
ABP

Qualifications

Minimum Education and Experience
Masters’ Degree in a related scientific field with a minimum of Five years of experience working with complex administrative and claims datasets, or similarly large datasets, including analysis, and of increasing functional responsibility in a leadership role.
Equivalent education, experience and/or training may be substituted for the degree requirements.

Certifications/Licenses

Required Knowledge, Skills, and Abilities
Knowledge and understanding of healthcare-related data for: reporting to internal and external partners and collaborators, data analysis, data management, and report generation; and meeting accountability and assessment requirements of a healthcare organization.
Must have a high level of computer literacy including Microsoft Office Suite and data querying tools.
Extensive knowledge of data management and manipulation in SAS, R, and/or SPSS.
Experience with healthcare and clinical data (patient data, quality data, claims), as well as an understanding of electronic medical record system data collection and reporting.
Must have excellent project management, time management, communication, interpersonal, decision making, analytic, and reporting skills.
Must be able to work with a wide range of individuals with diverse backgrounds and perspectives on data usage including faculty, staff, and senior administrators; as well as individuals at other healthcare institutions, media outlets, and government offices.

Preferred Qualifications

Equipment Utilized

Physical Demands and Work Environment
Significant telephone and email communication are required with some travel. Extensive work from a personal computer is required. In addition, must be able to function under rapidly changing conditions. Standing, sitting, walking, talking, hearing. No special vision requirements.

Special Conditions

Posting Details

Posting Number
25ST0787

Posting Open Date

Special Instructions to Applicants

Regional Campus
Rutgers University-New Brunswick

Home Location Campus
Rutgers University – New Brunswick

City
New Brunswick

State
NJ

Location Details

Pre-employment Screenings

All offers of employment are contingent upon successful completion of all pre-employment screenings.

Immunization Requirements

Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination.

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Title: Asst Dir Coding & Data Quality

Company: Rutgers University

Location: New Brunswick, NJ

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