Senior Biostatistician

Position Details

Position Information

Recruitment/Posting Title
Senior Biostatistician

Job Category
Staff & Executive - Research Support (Laboratory/Non-Laboratory)

Department
RWJ-Pediatrics-General Pediatrics

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 Senior Biostatistician for the department of Pediatrics at the Robert Wood Johnson Medical School.

The Senior Biostatistician will be a resource and leader who will support faculty in PopQuIS and those within the Joint Program in Population and Prevention Sciences (J3PS) - a joint program of the Department of Pediatrics and the Child Health Institute of NJ. In this role the Senior Biostatistician will support cutting edge, collaborative research, with a focus in the areas of systemic influences of health (e.g. social determinants of health, health system impacts, forces related to equity and disparities) and related to the health and health services research regarding individuals and populations, with a focus area including primary care research. The position requires knowledge of pragmatic biostatistics and high-level skills in statistical programming and analysis, as well as expertise in research methodology. He/she will perform advanced analyses independently and primarily in collaboration with the Division and Program Directors, faculty, research staff, and postdoctoral fellows, support faculty, other research staff, and postdoctoral fellow research. In coordination with the PopQuIS Division Director, the successful candidate will also be the lead individual to develop, curate, and manage a data center comprised of publicly available data under the direction of program leadership. The position may offer the opportunity to propose and to conduct independent studies of interest to program directors, faculty, and fellows; with the opportunity to develop presentations, posters, tables, and figures for publication and presentation, both independently and under the guidance of faculty, fellows and staff. The position may require the opportunity to mentor and manage research staff, especially regarding data acquisition integration, management, analysis, and presentation.

Among the key duties of this position are the following:

• Work with project leadership and others as needed to develop valid and reliable plans for analyses consistent with underlying conceptual and operational models and the study design.
• Collaborate, develop, and suggest epidemiological and statistical analyses supporting faculty research projects. Implement these analyses once agreed up.
• Develop and run statistically advanced programs in SAS, STATA, and R as appropriate for the research question and project.
• Collaborate as necessary with biostatisticians, epidemiologists, other analysts, and other methodologists in keeping with the needs and intentions of each project.
• As necessary, work across disciplines to lead and perform quantitative components of mixed methods and evaluation projects.
• Support, guide, and mentor fellows and other research staff/statistical programmers/analysts regarding the development and use of statistical programs to analyze data.

FLSA
Exempt

Grade
28S

Salary Details

Minimum Salary
[click to reveal phone number]81155.000

Mid Range Salary
[click to reveal phone number]97671.000

Maximum Salary
116172.000

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: .

Position Status
Full Time

Working Hours (per week)

Standard Hours
37.50

Daily Work Shift
Day

Work Arrangement

Union Description
HPAE 5094

Payroll Designation
PeopleSoft

Seniority Unit

Terms of Appointment
Staff - 12 month

Position Pension Eligibility
ABP

Qualifications

Minimum Education and Experience

• A PhD in public health, biostatistics, epidemiology, social science methods, clinical investigation, or other related field.
• Minimum of 3 years of experience as a data analyst or statistical programmer, quantitative epidemiologist or similar role, in public health, biostatistics, epidemiology or similar environment.
• Experience in an academic medical center environment.

Certifications/Licenses

Required Knowledge, Skills, and Abilities

• High level of computer literacy including experience using statistical analysis software, and data entry management experience.
• Other programs of interest include Stata and R.
• The ideal candidate will possess expertise beyond statistical programming to include demography, sociological methods.
• Outstanding human relations and leadership skills, and the ability to function independently as a dependable team member in a team environment required.
• Ability to manage projects and to prioritize across projects with competing deadlines and priorities.
• Demonstrated ability to provide leadership to research staff.
• Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint.
• Ability to meet deadlines and handle several projects at once in a fast-paced environment.
• Excellent communications skills and be willing to work closely with both clinical and research faculty, and with research staff.
• It is expected that this individual keeps abreast of new technologies and computer methods going forward.

Preferred Qualifications

• Preference is given to those with experience in an academic or quasi-academic setting.
• SAS skills preferred.

Equipment Utilized

Physical Demands and Work Environment

• Physical Demands: Standing, sitting, walking, talking, or hearing. No special vision requirements.
• Work Environment: Moderate noise (examples: business office with computers and printers, light traffic). This position is considered on site, however opportunities for hybrid in person / remote work may be permissible in accordance with Rutgers/RBHS policies.

Special Conditions

Posting Details

Posting Number
25ST1592

Posting Open Date

Special Instructions to Applicants

Regional Campus
Rutgers Biomedical and Health Sciences (RBHS)

Home Location Campus
Downtown 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, 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: