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Rutgers The State University (Mixed Methods) Research Project Manager in New Brunswick, New Jersey

Position Details

Position Information

Recruitment/Posting Title (Mixed Methods) Research Project Manager
Job Category Staff & Executive - Project/Program Management/Planning
Department Inst-Hth,Hth Care Pol&Agng Res
Overview
Rutgers, The State University of New Jersey, is distinguished in its many efforts to advance health and wellness, and its broad reach, diversity, and expertise provides opportunities to address a wide array of health challenges. The Institute for Health, Health Care Policy and Aging Research (IFH) facilitates collaboration among the social and behavioral sciences, clinical disciplines, basic sciences and related fields to promote research on critical population health issues. Tobias Gerhard serves as the director of IFHand brings together scholars across and beyond Rutgers into a vibrant interdisciplinary network that advances high quality research in core areas: * Behavioral Health
* Health Economics
* Social and Cultural Determinants of Health
* Pharmacoepidemiology
* Violence Prevention
* Health Disparities
* Aging Research
* State Health Policy
* Health Services Research The Institute communicates with many diverse audiences, including Rutgers faculty and students, government agencies (U.S. and abroad), nongovernmental organizations in various regions of the world, industries, foundations, and individual donors.
Posting Summary
Rutgers, The State University of New Jersey is seeking a (Mixed Methods) Research Project Manager for the Institute of Health, Health Care Policy and Aging Research. The Research Project Manager, as an investigative collaborator, will act in a leadership role on federally funded studies with responsibilities including direction of study activities, interfacing with investigators at multiple institutions, monitoring study progress, writing progress and final reports, leading authorship for scholarly peer-reviewed publications, providing guidance and supervision of further study data analysis.Among the key duties of the position are the following:
  • Develops modeling approaches best suited to data and inferential challenges in making appropriate inferences to address study research questions and hypotheses.
  • Collaborates with faculty investigators in planning and implementing complex health services research analyses.
  • Implements research analyses of large healthcare datasets incorporating billions of records.
  • Designs and conducts statistical modeling of patient level outcomes and utilization.
  • Leads multidisciplinary teams to plan and manage project implementation strategy and progress, develop and implement scientific strategies to best address study research questions, assure scientific rigor, utilization of appropriate analytic methods, and the scientifically appropriate integration of qualitative and quantitative methods in mixed-methods research.
  • Takes a leading role in the writing and revision of scientific papers for highly selective scientific journals reporting results; prepare responses to peer reviewer critiques.
  • Maintains expertise in state of the art analytic methods appropriate for each study; develop and apply sensitivity analyses to test robustness of conclusions.
  • Assures scientific rigor of project reports and publications.
  • Leads teams in assuring appropriate utilization of advanced biostatistical techniques including machine learning, propensity scoring, proportional hazards regression, and other complex modeling techniques.
  • Maintains expertise and currency in relevant literature, as well as be able to prepare drafts of grant applications, papers, research planning memos, research reports, summaries and bibliographies to be shared within CHSR and IFH.
  • Reviews funding opportunities that fit with the Center's and Institute's missions and priorities, contribute to the development of, and lead authorship of new grant applications in conjunction with Center leadership and staff.
  • Facilitates necessary pilot analysis.
  • Acts in a project leadership capacity managing major state and federally funded studies with responsibilities including leadership and monitoring of study activities, health policy research guidance, interfacing with investigators at multiple institutions and state agencies, and writing scientific progress and final reports.
  • Researches the availability of very large datasets for research use as well as develop research protocols for Data Use Agreements and IRB review using new and existing datasets.
  • Develops concept statements and outlines for planned papers and research studies, prepare selected sections of papers and applications, manage scientific timetables and deliverables, and work to assure that project work and deliverables are completed as planned.
  • Prepares annual and other needed scientific progress reports for funded projects.
  • Liaises with relevant collaborators, state officials, stakeholders, and other partners to identify collaboration and research opportunities and to engage partners in planning and conduct of relevant health services and policy research studies.
Position Status Full Time
Hours Per Week
Daily Work Shift
Work Arrangement
FLSA Exempt
Grade 07
Position Salary
Annual Minimum Salary 91297.00
Annual Mid Range Salary 115559.00
Annual Maximum Salary 139821.00
Standard Hours 37.50
Union Description Admin Assembly (MPSC)
Payroll Designation PeopleSoft
Benefits
Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview.
Seniority Unit
Terms of Appointment Staff - 12 month
Position Pension Eligibility ABP
Qualifications

Minimum Education and Experience
  • Master's degree in a relevant social science (social work, health policy, health service research, public health).
  • 3 years related experience.
Certifications/Licenses
Required Knowledge, Skills, and Abilities
  • Energetic and enterprising individual with demonstrated excellence in quantitative analysis, mixed methods, and other health services research methods
  • Experience in project management from development through completion, ensuring that all deliverables are met in a timely way.
  • The ideal candidate will have experience with very large administrative datasets and a strong command of basic statistical techniques.
  • Experience analyzing health policy environments and identifying critical areas for study and evaluation.
  • Communicates with excellent interpersonal and multidisciplinary project skills.
  • Detail-oriented, entrepreneurial, adaptable, and innovative.
  • Prior success in collaborating on complex projects with multiple stakeholders.
  • Possesses strong skills in written and verbal communication, with experience in presenting research in various settings (e.g., conferences, webinars).
  • Demonstrated record of productivity as first author on three or more scholarly peer-review publications.
  • Strong command of basic statistical techniques.
  • Must be flexible and efficient in a fast-paced academic environment.
  • Experience in development of federal funding applications, including drafting of relevant funding application sections.
Preferred Qualifications
  • Experience with social science and health services research implementation.
  • Experience in the supervision, mentoring, and training of graduate students and entry-level staff.
  • Experienced in the use of Medicaid, Medicare, private insurance claims data, electronic medical record data) and data linkages of very large datasets.
  • Familiarity with public insurance (i.e., Medicare, Medicaid) policies and delivery systems.
  • Understanding of health care issues facing underserved populations, such as individuals with substance use disorders and serious mental illness and those involved with the justice system.
  • Experience in writing IRB protocols and Data Use Agreements.
  • Experience developing and writing funding proposals.
  • Experience in drafting dissemination products for a variety of audiences, including scientific peers, health policy leaders, clinicians and providers as well as patients and families.
Equipment Utilized
  • Microsoft Office, statistical software (SAS, R, Python, Stata, SPSS), qualitative data management software (Dedoose, NVivo, Atlas.Ti).
Physical Demands and Work Environment
Special Conditions
Posting Details

Posting Number 24ST2210
Posting Open Date 09/16/2024
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.

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, p regnancy, 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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