Senior Data Scientist (Pasadena)

About Ventric Health

Ventric Health develops real-time, point-of-care cardiovascular diagnostics that empower health care providers to make faster, data-driven decisions to improve patient care. We are a missiondriven, collaborative, and fast-paced team committed to improving patient outcomes.

Why Join Us

At Ventric Health, your work will have a direct impact on patients' quality of life and expand access to cardiovascular care. By advancing innovative diagnostics, you will :

Improve early screening and monitoring for at-risk populations

Help reduce health disparities and promote equity in cardiovascular care

Collaborate with engineers, scientists, and clinicians in a dynamic and supportive environment to shape next-generation diagnostic tools

Role Overview

We are seeking a Senior Data Scientist to join our team as an individual contributor reporting to the Lead Data Scientist. You will drive the development of diagnostic algorithms and collaborate with people in both engineering and clinical roles. This role requires independence, critical thinking, and the ability to mentor junior team members.

Key Responsibilities

Analyze and model complex datasets from clinical trials

Improve diagnostic methods and generate new clinical hypotheses

Partner with cross-functional teams to design and deploy data-driven models

Present insights and recommendations to leadership

Guide junior data scientists and foster a collaborative learning culture

Required Qualifications

Bachelors degree in Data Science, Computer Science, Engineering, Applied Math, or related field (advanced degree preferred)

5+ years of applied machine learning experience (feature engineering, dimensionality reduction, clustering, regression, tree-based methods, deep learning)

Proven expertise in Python with proficiency in data science libraries (NumPy, Pandas, SciPy, scikit-learn, etc.)

Proven expertise in statistical analysis (hypothesis testing, etc.)

Proficiency with Git and comfort using the command-line environment

Strong communicator, able to work independently and in teams

Preferred Qualifications

Knowledge of signal processing, cardiovascular physiology, and / or hemodynamics

Knowledge in medical statistics Hands-on experience with PHI and EHR datasets, with strong understanding of data privacy and HIPAA compliance

Experience in or comfort with FDA-regulated environments (Quality Systems, Design Control)

Familiarity with AWS or other cloud platforms

Experience with presenting and / or writing in an academic setting

Work Style & Culture

Hybrid work model with in-office and remote flexibility

Collaborative, research-driven, and mission-focused team

Opportunities for informal mentorship and leadership

Compensation & Benefits

Competitive pay and comprehensive benefits package

Equal Opportunity Statement

Ventric Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.