Post Doctoral Associate-DeMazumder Lab at UPMC

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Jul, 26

Salary

0.0

Posted On

11 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Science, Engineering, Digital Signal Processing, Feature Extraction, Time Series Data, C++, Python, Matlab, Stata, Mata, Statistical Programming, ECG Analysis, PPG Analysis, Data Security, Software Development, Research Publication

Industry

Hospitals and Health Care

Description

The Department of Surgery, McGowan Institute for Regenerative Medicine, is seeking to fill a permanent full-time position for a Postdoctoral Associate who will focus on Computer Science and Engineering for advancing AI healthcare research. Qualifications: 1) PhD degree (either awarded or in progress) in the computer sciences, engineering, or related fields; 2) Proficiency in and prior experience with digital signal processing; 3) Proficiency in and prior experience with feature extraction from time series data; 4) Proficiency in C/C++, Python and Matlab; 5) Proficiency or interest in gaining proficiency in Stata/Mata statistical programming. Primary duties: The trainee will write software code in Python, C/C++ and Stata/Mata to: 1) Optimize existing code for signal processing and numerical analysis of ECG, PPG, and other physiological waveforms; 2) Convert existing Matlab and Stata code to C/C++, Python and Mata for body signal waveform analysis and personalized health risk stratification under the guidance and supervision of leading experts in the mathematical sciences, healthcare engineering and clinician-scientists. Other responsibilities: The trainee will be primarily responsible for day-to-day software and computing tasks in Dr. DeMazumder’s lab. This includes following all applicable state, federal, and institutional laws and regulations; programming and maintaining functionality of the computing hardware and software infrastructure; ensuring data quality and security; training and managing junior students and staff; performing statistical analyses; presenting research results orally and in writing through conference and journal article publications; coordinating with collaborators and projects members; routinely preparing and submitting progress reports to Dr. DeMazumder and stakeholders in a timely manner; and preparing and submitting manuscripts and grant applications in a timely manner. To be considered for this position, please provide a current curriculum vitae when applying through Talent Center at join.pitt.edu and search for Requisition #: 25006720

Responsibilities

The trainee will develop and optimize software for signal processing and physiological waveform analysis using Python, C/C++, and Stata/Mata. Additionally, they will manage computing infrastructure, ensure data security, and assist in the preparation of manuscripts and grant applications.