Position Details
Position Information
Recruitment/Posting Title |
Data Analyst |
Job Category |
Staff & Executive - Information Technology |
Department |
Office of Advanced Research Computing |
Overview |
OIT's Office of Advanced Research Computing (
OARC) is a large and diverse team working to create an outstanding environment for research computing at Rutgers. A key part of OARC's responsibility to the University is to ensure that we are seeking and supporting the best solutions for constantly evolving computational research challenges. Doing that effectively requires us to carefully address the needs of the community we serve and to ensure that our support networks are diverse, inclusive, and equitable. Diversity is welcome and encouraged here because it fuels innovation and ensures exploration of the broadest range of possible solutions to research problems. Inclusivity and respect for all points of view empower the decision making and policy development that are the framework of a productive research support organization. Prioritizing equity ensures access to resources needed to support the ideas, initiatives, and efforts of all contributors to our research support operations. Above all, we value our team members and their unique capabilities, interests, and experiences that, in concert, form OARC's mission and vision. |
Posting Summary |
Rutgers, The State University of New Jersey, is seeking a Data Analyst for the Office of Advanced Research Computing. The Rutgers Clinical & Research Data Warehouse (
CRDW) Data Analyst position involves contributing to various aspects of clinical research data management, analysis, and visualization.
Among the key duties of this position are the following:
- Assists in maintaining data quality, performing analytical tasks, developing visualization techniques, and aiding in the selection and application of analytical tools within a clinical research data warehouse context.
- Uses EPIC data structures and other healthcare-related data systems.
- Leads team efforts to ensure data Quality Assurance (QA) processes are effectively implemented, maintaining the integrity and accuracy of clinical research data within the data warehouse.
- Leads team efforts to ensure data Quality Assurance (QA) processes are effectively implemented, maintaining the integrity and accuracy of clinical research data within the data warehouse.
- Develops data visualization techniques to present findings and insights effectively, aiding in the interpretation and communication of results to stakeholders.
- Develops analytical workflows, optimizing processes for data acquisition, analysis, and reporting within the clinical research context.
- Recommends, selects and implements appropriate analytical tools and methodologies to support research teams in leveraging data for analysis.
- Understands and adheres to Rutgers' compliance standards as they appear in RBHS's Corporate Compliance Policy, Code of Conduct and Conflict of Interest Policy.
- Keeps abreast of all pertinent federal, state and Rutgers' regulations, laws and policies as they presently exist and as they change or are modified.
- Performs other related duties as assigned.
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Position Status |
Full Time |
Hours Per Week |
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Daily Work Shift |
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Work Arrangement |
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FLSA |
Exempt |
Grade |
26S |
Position Salary |
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Annual Minimum Salary |
73161.00 |
Annual Mid Range Salary |
87905.00 |
Annual Maximum Salary |
104450.00 |
Standard Hours |
37.50 |
Union Description |
HPAE 5094 |
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.
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Seniority Unit |
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Terms of Appointment |
Staff - 12 month |
Position Pension Eligibility |
ABP |
Qualifications
Minimum Education and Experience |
- Bachelor's degree or an equivalent education, experience, and/or training may be substituted for the degree requirements.
- 3 years of experience in Data Science, Statistics, Computer Science, Biomedical Informatics, or a related field.
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Certifications/Licenses |
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Required Knowledge, Skills, and Abilities |
- Proven experience in data analysis, data quality assurance, and data visualization within a clinical research or healthcare environment.
- Certification from the EPIC health system and experience working with data structures and electronic health record (EHR) systems.
- Experience working with clinical research data warehouses or similar healthcare data systems.
- Understanding of HIPAA regulations and/or Human Subjects regulations for clinical research.
- Familiarity with medical ontologies (e.g., ICD-9/10 and CPT codes).
- Proficiency in analytical tools and programming languages such as SQL, Python, R, or similar tools for data manipulation and analysis.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, etc.) to create impactful visual representations of data.
- Understanding of analytical workflows and the ability to contribute to their development and optimization.
- Strong problem-solving skills and attention to detail in ensuring data accuracy and integrity.
- Excellent communication skills and the ability to collaborate effectively with multidisciplinary teams.
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Preferred Qualifications |
- Advanced degree (e.g., Master's, PhD, etc.)
- Knowledge of regulatory requirements and best practices in data management for clinical research (e.g., HIPAA).
- Experience in developing, maintaining, and managing IT applications and systems.
- Familiarity with REDCap for building and managing online databases and surveys.
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Equipment Utilized |
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Physical Demands and Work Environment |
- Standing, sitting, walking, talking or hearing.
- Visual acuity to perform activities such as: viewing a computer terminal, reading, analyzing written information/data, etc.
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Special Conditions |
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Posting Details
Posting Number |
24ST2588 |
Posting Open Date |
11/04/2024 |
Special Instructions to Applicants |
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Regional Campus |
Rutgers University-New Brunswick |
Home Location Campus |
Busch (RU-New Brunswick) |
City |
Piscataway |
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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