Research Assistant, Cardiology

Overview

JOB SUMMARY

Under technical supervision from academic staff members, performs a variety of technical duties and investigations in support of research-oriented activities. Participate in research activities including building deep and machine learning models on large and diverse data sets including signal, image, and tabular format data for cardiovascular outcome research. The candidate will be responsible of an entire cycle of data science on assigned projects ranging from data acquisition, manipulation, model building to preparation of research articles and grant proposals, under supervision. 

EDUCATION/EXPERIENCE

Master's degree in statistics, mathematics, computer science, or related engineering field, with four years' experience in a research or laboratory setting; or, an equivalent combination of education and experience. PhD or PhD candidates preferred.

ESSENTIAL FUNCTIONS

1. Participate in research activities including building deep and machine learning models on large and diverse data sets including signal, image, and tabular format data for cardiovascular outcome research.
2. Designs, develops, and constructs specialized programs, instruments, equipment and apparatus as required for performance of research activities. 
3. Assists in the development of new research procedures and techniques.
4. Operates various electronic devices in the collection, tabulation, and calculation of data. 
5. Assists in training new personnel, conducts performance reviews on assigned lab employees, and creates work schedules. 
6. Assists with planning and presenting classroom instructions and lectures.
7. Performs other related duties incidental to the work described herein.

REQUIRED SKILLS/QUALIFICATIONS

• Must be a US citizen or green card holder
• Demonstrates knowledge of scientific principles
• Strong computer skills
• Excellent Python programming skills
• Expertise in deep learning, CNN, RNN, autoencoders
• Strong communication skills
• Public speaking experience
• Ability to prepare grant proposals with minimal supervision
• Peer reviewed publications, plus oral or poster presentations at national meetings

PREFERRED SKILLS/QUALIFICATIONS

• Signal Processing
• NLP-LLM expertise
• IOS/Android app development expertise
• SQL