Senior Data Scientist, Product
Listed on 2026-09-01
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IT/Tech
Data Scientist, Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
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People & Talent Acquisition Leader | Employer Branding Strategist | Culture Advocate | Driving Talent & Growth in Healthcare & Fast-Paced StartupsWho Are We?
Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by integrating a connected platform enabled by smart data science to help patients access the care and attention that will inform better treatments and outcomes.
We envision a future where care teams and hospitals can be more effective, the healthcare system can be more efficient, and patients have a better care experience and more fulfilling lives.
This is precision cardiology, and we know it’s within reach
What Will You Do?
The Overview
We are seeking a data scientist with a passion for data-driven medicine using state-of-the-art methods of data science. The successful candidate will apply their skills to develop data-driven tools, such as intuitive analytics, prediction scores, and dashboards to support clinical decision-making and patient monitoring. The role involves substantial interaction with clinicians to identify needs and develop solutions that meaningfully improve clinical outcomes.
The Specifics
- Use methods of machine learning to summarize patient data into meaningful scores
- Develop dashboards to visualize analytics and predictions in support of clinical decision-making
- Engage directly with clinicians users to gather requirements and iteratively refine analytics tools
- Collaborate closely with software engineering and product management to launch products
- Clearly communicate insights, methodologies, and product value to stakeholders and end-users
Minimum Qualifications
Experience
- PhD or MS in Data Science, Computer Science, Epidemiology, or other quantitative fields
- 2+ years of industry experience in data science
Data Science
- Strong skills in state-of-the-art statistical analysis and machine learning
- Strong skills in summarizing data into intuitive tables and visualizations
Science
- Understands the scientific method, study design and hypothesis-driven experimentation
- Passion for transparent, rigorous and reproducible data science
Software Engineering
- Proficiency in Python and SQL (additional proficiency in R preferred)
- Dedication to engineering best practice (e.g., version control, documentation, etc.)
Personal Attributes
- Excellent communication and collaboration skills with varied stakeholders
- Independent, proactive, and adept at managing multiple projects
- Humility, kindness, urgency, and a hunger to continuously learn and grow
Preferred qualifications
- Experience developing and launching data-driven products end-to-end
- Experience with LLMs and Agentic AI in the context of product development
- Background working with wearable devices, biosensing data, or other physiological data types
- Experience working with electronic health records or other healthcare data
- Cloud storage and virtual machine experience (preferably Google Cloud Platform)
- Impactful Work: You will join in the fight to eradicate the world’s #1 killer by extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
- Innovative Environment: You will be part of an organization doing something that’s never been done before.
- Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
- Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.
Company Benefits
- Competitive Compensation:
Competitive salary plus performance bonus and equity. - Health Benefits:
Generous benefit package which starts on the first day of employment. Our benefits are through a PEO called Tri Net and include medical, dental, and vision.…
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