St. John’s, established in 1870, has three New York City campuses; international locations in Rome, Italy; Limerick, Ireland; and Paris, France; and study abroad locations around the world. The Princeton Review and other top rankings consistently recognize the University’s outstanding academics, diverse student body, dynamic internship, and volunteer opportunities, focus on student life, and diverse study abroad offerings. St. John’s University offers more than 100 undergraduate and graduate programs in its six colleges and schools, with a growing number of programs offered online. The University is accredited by the Middle States Commission on Higher Education and 12 other major academic and professional associations.

A dedication to diversity, equity and inclusion is at the heart of our mission. As a Catholic and Vincentian university, St. John’s is committed to institutionalizing practices of inclusive excellence to ensure that we welcome and celebrate the intrinsic worth of all members of our community. We will become an even stronger university as we enhance equity at every level of our institution. Our graduates will excel in the competencies and values needed for leadership and service in a rapidly evolving world.

**Department: **Division of Computer Science, Mathematics and Science, St. John’s University

Specific Job Title: Postdoctoral Researcher

Job Summary:

We are seeking a highly motivated and skilled postdoc researcher to join our interdisciplinary team working on the development of a trustworthy medical code recommender system. This NSF-supported project addresses key challenges in medical coding and reimbursement, including errors in manual coding, limitations of current systems, and the need for increased transparency and trustworthiness in emerging healthcare technologies. The successful candidate will contribute to improving the accuracy and efficiency of medical coding, working closely with healthcare professionals and researchers.

Essential Functions:

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• Apply advanced methodologies, including AI and machine learning, to address challenges in medical coding, reduce errors, and optimize billing processes.
• Integrate pharmacological data and clinical guidelines to improve coding accuracy for medications and therapies, ensuring appropriate billing for pharmaceutical interventions.
• Collaborate with healthcare professionals, including pharmacists (PharmD), physicians (MD), and clinical staff, to ensure the system aligns with real-world clinical workflows and supports accurate reimbursement.
• Work within a multidisciplinary team of healthcare professionals, informatics specialists, and researchers to validate and refine the system’s effectiveness and trustworthiness.

Competencies:

• Strong understanding of healthcare standards and medical coding systems (ICD-10, CPT, HL7, SNOMED) and healthcare revenue cycle
• Expertise in clinical data extraction and analysis from EMRs.
• Advanced AI and machine learning methodologies applicable to healthcare.

Supervisory Responsibility:

This position does not have supervisory responsibilities.

Work Environment:

This position operates in a professional office environment, with a significant portion of work focused on research and collaboration with healthcare professionals and technical teams.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is primarily required to sit and use a computer, with occasional standing and movement within the office. No significant lifting or physical activity is required.

Position Type/Expected Hours of Work:

This is a part-time, temporary 1-year position, with the possibility of extension based on performance. Hours may vary. Occasional long hours may be required based on project demands.

Travel:

Minimal travel expected, primarily local for campus meetings and collaboration with healthcare institutions.

Required Education and Experience:

PhD in CS/Data Science, PharmD, MD with relevant experience

Preferred Education and Experience:

• Experience working in a pharmaceutical, clinical or healthcare-related setting.
• Previous experience collaborating in multidisciplinary research teams and have strong publication record.

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Additional Eligibility Qualifications:

Ability to work in a fast-paced, interdisciplinary research environment.

Strong problem-solving skills, with the ability to contribute to innovative healthcare solutions.

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Other Duties:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time, with or without notice.

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In compliance with NYC’s Pay Transparency Act, the hourly salary range for this position is $26.00 - $30.00. St. John’s University considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.

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Any offer of employment is subject to receipt by St. John’s University of satisfactory references, verification of employment and education.

St. John’s University is an Equal Opportunity Employer and encourages applications from women and minorities. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, or any other characteristic protected by law.

Required Skills

Required Experience