Staff Data Scientist

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, Data science techniques, Deep Learning, Design, Effective communication skills, Machine learning techniques, MATLAB Programming, Python Programming, R Programming, US Healthcare Recruitment

Job Description

About the role:

• Develop software solutions to provide clinically relevant metrics and indications from unobtrusive and non-invasive sensors.
• Coordinate with cross-functional teams to align business, clinical, and model requirements.
• Collaborate with clinical teams and external vendors to facilitate data collection.
• Apply digital signal processing techniques to physiological waveforms (PPG, ECG, SCG, etc.) and build novel machine learning algorithms for hemodynamic assessment.
• Design, implement, and evaluate models using both classical feature extraction and deep learning techniques.
• Manage multiple experiments in parallel.
• Perform statistical and subpopulation analysis on sensor and clinical data collected from clinical trials.

QUALIFICATIONS:

• MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer Science, Mathematics, or equivalent practical experience.
• 5+ years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or Bioinformatics.
• Experience with wearable health sensors and related biometric algorithms (e.g., PPG, ECG, respiratory signals).
• Expertise in digital signal processing techniques and AI/deep learning concepts.
• Strong ability to communicate requirements, manage tasks, and relay results to management teams.
• Understanding of good machine learning practices for medical device development.

PREFERRED:

• Experience in a healthcare or medical device environment.
• Proficiency in programming languages such as Python, R, or MATLAB.
• Familiarity with cloud computing platforms and tools.
• Demonstrated ability to work independently and as part of a team.
• Excellent problem-solving and analytical skills.

Cardiosense is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.