Position Details
Position Information
| Recruitment/Posting Title |
RESEARCH APPLICATION DESIGNER |
| Job Category |
Staff & Executive - Research (Laboratory/Non-Laboratory) |
| 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. This position is in the Center for Biomedical Informatics and Health Artificial Intelligence (
BMIHAI) at The Institute for Health, Health Care Policy and Aging Research (
IFH). Leslie Lenert serves as the Director of
BMIHAI.
BMIHAI facilitates the advancement of informatics and artificial intelligence technologies across Rutgers Health and collaborations with other campuses on infrastructure and technical projects.
IFH is the administrative home of
BMIHAI.
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
IFH and 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
BMIHAI through the
IFH 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 Research Application Designer for the Institute for Health, Health Care Policy and Aging Research (
IFH). Reporting to the Director of the Center, the Research Application Designer will play a critical role in advancing research initiatives in health informatics and artificial intelligence, including emerging areas such as agentic AI. In collaboration with faculty and multidisciplinary research teams, the Research Application Designer will communicate with collaborators and contribute to drafting manuscripts for publication in peer-reviewed scientific journals.
Among the key duties of this position are the following:
- Supports and leads application/data architecture and management efforts across a range of federally funded research projects, ensuring that data systems, workflows, and infrastructures align with the Center's strategic goals in biomedical data science and AI-driven discovery.
- Designs, develops, and maintains scalable application/data architectures and infrastructures to support biomedical and health AI research.
- Collaborates with faculty, data scientists, and software engineers to implement advanced data analytics, modeling, and AI methodologies.
- Ensures compliance with institutional and federal standards for data security, privacy, and reproducibility.
- Provides technical leadership, mentoring, and oversight to team members and trainees involved in data-intensive research activities.
- Supports the identification of new research directions, initiate innovative projects, and assist in developing competitive grant proposals in collaboration with faculty.
- Supervises and coordinate diverse, cross-functional project teams to ensure that all project deliverables meet high scientific and technical standards, while adhering to established timelines and objectives.
|
| FLSA |
Exempt |
| Grade |
08 |
| Salary Details |
|
| Minimum Salary |
124377.000 |
| Mid Range Salary |
157334.000 |
| Maximum Salary |
190290.000 |
| 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 provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:
- 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 (when applicable)
- Life insurance coverage
- Employee discount programs
|
| Position Status |
Full Time |
| Working Hours |
|
| Standard Hours |
37.50 |
| Daily Work Shift |
|
| Work Arrangement |
Consistent with the current application of Rutgers Policy 60.3.22, this position may be eligible for a hybrid work arrangement.
The flexible work arrangements outlined in Rutgers Policy 60.3.22 are part of a pilot program that is effective September 1, 2022 through January 31, 2026. Therefore, there is no guarantee that this flexible work arrangement will continue beyond that date. Flexible work arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at
https://futureofwork.rutgers.edu. |
| Union Description |
Admin Assembly (MPSC) |
| Payroll Designation |
PeopleSoft |
| Seniority Unit |
|
| Terms of Appointment |
Staff - 12 month |
| Position Pension Eligibility |
ABP |
Qualifications
| Minimum Education and Experience |
- Bachelor's degree or an equivalent combination of education and/or experience and 6 years of relevant work experience.
|
| Certifications/Licenses |
- Epic certification in interoperability tools and toolkits.
|
| Required Knowledge, Skills, and Abilities |
- Experience in software development and architecture experience and healthcare IT engineering and architecture expertise.
- Must be a highly organized, energetic, responsible, and enterprising individual with demonstrated excellence in organizational management, staff management, and the ability to implement multiple projects, coach and manage project teams and collaborators, facilitate high performance teamwork, and set and achieve strategic objectives.
- Strong skills in written and verbal communication and time management.
- Familiarity with scientific writing.
- Ability to communicate with excellent interpersonal and multidisciplinary project skills.
- Detail-oriented, entrepreneurial, adaptable, and innovative.
- Past success working on complex projects with multidisciplinary research teams across universities, health systems, and federal collaborations.
- Experience in deployment of Epic interoperability tools and toolkits, with advanced expertise in Epic Bridges interface development, Epic REST API services, Clinical Decision Support integration, SMART on FHIR, and HL7 FHIR CDS Hooks service design, development, and deployment.
- Skilled in architecting and implementing large-scale Epic interoperability including Clarity, read/write access to Epic flow sheets, end-to-end workflow integration using middleware, and enterprise data architecture for research and clinical, systems.
HIPAA-compliant API and security engineering: design and development of REST APIs with OAuth 2.0/OpenID Connect-protected endpoints (including SMART on FHIR app launch and scopes), PKCE, JWT, token introspection/rotation, mTLS, least-privilege access control, audit logging, and API gateway/WAF integration for PHI protection.- REDCap system administration, modification and authorship of plug-in modules, and interoperability with clinical and research systems.
- Advanced developer of HL7 FHIR APIs, including SMART on FHIR standards for interoperability between Epic and research systems.
- Skilled in use of large-scale biomedical AI/ML platforms, including Hadoop, Spark, TensorFlow, PyTorch, and Databricks for scalable healthcare data pipelines for analytics.
- Experience with Observational Medical Outcomes Partnership (OMOP) and Patient Centered Outcomes Research Network (PCORnet) standardized data models.
- Java, C++ and Python scripting.
- REDCap system administration, modification, and interoperability.
|
| Preferred Qualifications |
- Ten or more years of relevant work experience.
- Masters degree and four or more years of relevant experience in software development and architecture experience and healthcare IT engineering and architecture expertise.
- Formal training in a relevant scientific discipline such as computer science or health services research, and practical experience optimizing EHR environments for research.
- Skilled configuration of high performance computing (HPC) and hybrid cloud systems, including Slurm, GPFS, Nextflow, and Kubernetes, for secure training and deployment of large language models in biomedical applications.
- Cloud and data engineering experience (e.g., Azure, Databricks, Kubernetes) with experience architecting secure precision medicine platforms.
- Demonstrated ability to design and deploy agentic retrieval-augmented generation (RAG) systems in healthcare and build AI agent workflows integrated with clinical and research environments.
- Expert in HPC-based training of large language models and hybrid HPC-cloud optimization for biomedical AI workloads.
- Knowledge of healthcare data compliance and governance standards including HIPAA, GA4GH, NIST, and FIPS, ensuring AI systems meet regulatory and security requirements.
- Experience supporting research programs and multi-institutional collaborations, aligning infrastructure and AI platforms with grant-funded translational research goals.
|
| Equipment Utilized |
Epic EHR interoperability tools
- Epic EHR interoperability tools, including Epic Bridges, REST APIs, Clarity, Caboodle, RWB, and HL7 FHIR CDS Hooks.
- Precision medicine data lake platforms, including Delta Lake and Databricks pipelines for multi-omics integration and federated analytics.
- Genomic computing frameworks including Hail, PLINK, GATK, and Apache Glow for large-scale genomic and variant analysis.
- High-performance computing (HPC) resources, including Slurm, GPFS, Nextflow, and Kubernetes, for secure training of large language models and biomedical AI workloads.
- AI/ML platforms including TensorFlow, PyTorch, Spark, and Hadoop for large-scale biomedical data processing and predictive modeling.
- REDCap integration systems for clinical research interoperability.
JSON-RPC server environments for blockchain-based and internal healthcare data exchange protocols.
|
| Physical Demands and Work Environment |
|
| Special Conditions |
|
Posting Details
| Posting Number |
25ST2525 |
| Posting Open Date |
12/09/2025 |
| Special Instructions to Applicants |
- Under the required "other document", please upload a list of recent projects and technical contributions as part of your application documents.
- Under the optional "other document (2)", applicants have the option to include a Pointer to GitHub repository of code authored by the applicant.
|
| 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.
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 encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
|