Senior Data Scientist, Product
Who 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
• Summarize granular longitudinal wearable device data into meaningful analytics
• 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
• Customer-centric mindset, passionate about developing products users love
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)
• Medical degree (MD, MBChB, MBBS, etc.)
Why Prolaio Data Science?
• 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 TriNet and include medical, dental, and vision. Prolaio pays for 80-100% of the premiums. The contribution depends on the plan and level of coverage selected.
• Life Insurance: Company-provided life insurance ($10,000) with the opportunity to buy up additional coverage.
• Retirement Plan: 401(k) plan available upon hire through Empower. We do not currently offer a company match.
• Paid Time Off: Prolaio time off policy is based on length of service. As a new employee you will be eligible for 15 days of PTO which you will start to accrue immediately. We also offer a minimum of 5 sick days (adjusted based on location) and 13 paid company holidays each year (11 scheduled and 2 floating).
Diversity, equity and inclusion
Prolaio is committed to diversity, equity and inclusion. It is our priority to be an open and accessible community of individuals united by their passion to translate state-of-the-art technological capabilities into value clinical care.
Apply Now
Apply Now
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
• Summarize granular longitudinal wearable device data into meaningful analytics
• 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
• Customer-centric mindset, passionate about developing products users love
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)
• Medical degree (MD, MBChB, MBBS, etc.)
Why Prolaio Data Science?
• 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 TriNet and include medical, dental, and vision. Prolaio pays for 80-100% of the premiums. The contribution depends on the plan and level of coverage selected.
• Life Insurance: Company-provided life insurance ($10,000) with the opportunity to buy up additional coverage.
• Retirement Plan: 401(k) plan available upon hire through Empower. We do not currently offer a company match.
• Paid Time Off: Prolaio time off policy is based on length of service. As a new employee you will be eligible for 15 days of PTO which you will start to accrue immediately. We also offer a minimum of 5 sick days (adjusted based on location) and 13 paid company holidays each year (11 scheduled and 2 floating).
Diversity, equity and inclusion
Prolaio is committed to diversity, equity and inclusion. It is our priority to be an open and accessible community of individuals united by their passion to translate state-of-the-art technological capabilities into value clinical care.
Apply Now
Apply Now