Position Details
Position Information
| Recruitment/Posting Title |
Assistant Director of Data Analytics |
| 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 Data Analytics for the Center for Pharmacoepidemiology and Treatment Science (
PETS) within the Institute for Health, Health Care Policy, and Aging Research under Rutgers Biomedical and Health Sciences (
RBHS).
The primary purpose of the Assistant Director of Data Analytics 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 Assistant Director of Data Analytics manages the associated healthcare databases, analytics, interpretation of study results, reporting of study findings, and publication of results; oversees support and research operations with ongoing data; including supervision and mentor ship of three data analysts; and oversees the
PETS Center analytical efforts with regards to the data.
The Assistant Director of Data Analytics will conduct complex analyses using healthcare datasets within an ever-expanding research grant portfolio within the Center. Working with internal and external data providers and project teams to build analytical plans, build and manage databases, and formulate complex analytical plans; lead the conduct, interpretation, and reporting of analyses and study findings; and contribute significantly to the publication of studies.
The Assistant Director of Data Analytics 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 Assistant Director of Data Analytics will serve as a leader and subject matter expert in biostatistics, coding and advanced analytics within the Center. This individual will lead, and provide direct support on research proposals, analytical plans and serve as a co-author on papers.
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 data management and the performance and process improvement data analytics and reporting for all offerings working closely with the PETS Center Faculty to define the metrics and reporting requirements.
- Apply advanced knowledge of statistical theory and practice to analytic work and provide high-level biostatistical consultation and expertise to federally funded pharmaceutical industry and other 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.
- Leads dissemination and implementation efforts (e.g., articles, papers, conference presentations) in areas of specialization, presenting at local, national, and and international webinars as well as in-person conferences, leading and contributing to peer-reviewed manuscripts in leading scientific journals.
- 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.
- Provides guidance, mentors and manages, directly or indirectly other PETS Center data analysts who are responsible for study analytics and data quality control and to PETS Center faculty preparing or conducting pharmacoepidemiology research.
- 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 |
128555.000 |
| Mid Range Salary |
162622.000 |
| Maximum Salary |
196688.000 |
| 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 epidemiology, biostatistics, medical science or a relevant field with a minimum of Seven (7) 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.
- Must have a minimum of 2 years supervising direct reports in a research field.
- Equivalent education, experience 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.
- Evidence of experience performing advanced biostatistical analyses, including propensity scores, casual inference, advanced regression, and multiple imputation. Evidence of leadership by guiding, empowering and supporting the study team, ensuring successful project execution, impactful data-driven decisions, and continuous growth of the teams capabilities.
- Experience with healthcare and clinical data, (patient data, quality data, claim data). Must have good level of electronic medical record system data collection and reporting.
- Record of published peer-reviewed journal articles, research reports and abstract presentations at scientific conferences.
- Must have evidence of work as a collaborative, creative problem-solver who excels at turning complex data into meaningful healthcare outcomes; ensures that the study team's work aligns with the broader organizational objectives and translates into actionable insights; and utilizes advanced methodologies to enhance the team's statistical practices.
- 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.
- 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 |
PHYSICAL DEMANDS:
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.
WORK ENVIRONMENT:
Generally, a pleasant, comfortable and well-lit workspace in New Brunswick. |
| Special Conditions |
|
Posting Details
| Posting Number |
25ST1768 |
| 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 |
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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. Affirmative Action/Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement |
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