Sr. Data Scientist Clinical

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 uniting patients care teams and researchers on a secure technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.

This is precision cardiology and we know it’s within reach.

What Will You Do?

The Overview

The Senior Data Scientist Clinical will leverage advanced data science methodologies to advance the science and clinical applications of digital biomarkers. This role involves developing rigorous technical plans and executing complex analyses on multimodal datasets (digital biomarkers from wearable data electronic health records [EHR] claims) for publication in high-impact medical journals. The successful candidate will build pipelines to prepare analytic datasets from wearable data and EHR and utilize Python and/or R to develop multimodal risk prediction models to describe predict and estimate clinical effects.

The Specifics

• Clinical Analysis & Publication: Design and execute statistical analyses on large clinical datasets. Author abstracts statistical analysis plans conference presentations and manuscripts for publication in peer-reviewed medical journals.
• Data Pipeline Development:  Build document and maintain reproducible data pipelines to curate analytic datasets combining data from multiple assets (e.g. continuous signal data claims electronic health records etc.).
• Risk Prediction Modeling: Develop and deploy time-varying and multimodal risk prediction models which extract insights from contextual health data and physiologic signals
• Scientific Leadership: Contribute to rigorous science that expands our understanding of digital biomarkers and clinical endpoints in cardiovascular disease in order to enable Prolaio’s ability to support clinical research and cardiovascular care.
• Cross-Functional Collaboration: Collaborate cross-functionally with data engineering operations clinical and other teams to ensure data analyses and modeling pipelines align with cross-team standards scientific validity and company objectives.
• Advanced Data Abstraction: Utilize both traditional programmatic and (where applicable) modern LLM-based techniques for complex data processing and clinical abstraction.

Why Prolaio?

• Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of 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.

Who You Are?

• Education & Experience: PhD MD or master’s degree. 3+ years of academic or industry experience post-PhD/MD or 5+ years post-master’s in any of the following fields: applied statistics biostatistics epidemiology health economics data science health informatics or a related field.
• Scientific Track Record: A strong track record of peer-reviewed scientific publications with experience communicating scientific results through presentations abstracts and manuscripts.
• Healthcare Data Expertise: Experience preparing and analyzing large healthcare data sets such as claims electronic health records or clinical trials. Experience with the specification of clinical event definitions and familiarity with healthcare data standards/ontologies (e.g. FHIR OMOP ICD-10 CPT).
• Time-Series Data: Experience processing and analyzing high-volume time-series data.
• Technical Proficiency: Experience in Python for machine learning and pipeline development. Experience in R for biostatistical inference is a plus.
• Core Expertise: Deep expertise in at least TWO or more of the following three areas: 
• Agentic LLMs: Experience designing and validating LLM-based agentic pipelines (e.g. with LangChain Vertex AI etc.). Experience fine-tuning LLMs is a plus.
• Machine learning for multimodal data: Completed projects in Python to develop predictive health risk models using common data sciences libraries (e.g. scikit-learn etc.) and completed projects utilizing deep learning frameworks (e.g. PyTorch Jax) for time-series computer vision or multimodal data.
• Biostatistics & Epidemiology: Proven ability to implement models for statistical inference with specific expertise in longitudinal health data time-to-event (survival) analysis and disease trajectories. Deep understanding of epidemiologic concepts (bias confounding data missingness) and familiarity with study design for observational studies and randomized controlled trials.
• Tools for data science: Familiarity with modern coding standards for data science including reproducible environment management  (e.g. poetry uv renv) version control (Git) robust documentation report generation (e.g. Quarto) and SQL. Experience with production tools for continuous integration deployment and experiment tracking (e.g. MLflow and metaflow)
• Communication: Ability to work cross-functionally and seamlessly translate highly technical concepts to non-technical audiences and stakeholders.

Additional Qualifications (Nice to Haves)

• Prior research or industry experience in cardiovascular disease (CVD) or digital cardiology.
• Prior experience with data from wearables or other sensor data.

Why You’ll Love Working Here

• Meaningful Compensation: Competitive salary performance bonus and equity so you can share in what we build.
• Great Health Coverage: Medical dental and vision plans with multiple options and strong company contributions.
• Flexible Spending Perks: HSA FSA commuter benefits and a $1200 annual Lifestyle Spending Account to support wellness commuting family needs and more.
• Time to Recharge: Generous paid time off sick leave and company holidays.
• Family-First Benefits: Paid parental leave caregiver leave and support for growing families.
• Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
• Plan for the Future: 401(k) plan to help you build long-term financial security.
• Care When You Need It: Easy access to telehealth and optional supplemental coverage for life’s unexpected moments.

Starting Salary is at $136000.00 (Exact Compensation may vary based on skills experience and location)

What We Do

Prolaio is a clinical intelligence company dedicated to unlocking continuous predictive and shareable heart data to liberate patients from hospital-based reactive care and accelerate every new therapy. The company was created by cardiologists cardiovascular practitioners and data scientists specifically to address the world’s number one cause of death — cardiovascular disease. By combining scientific rigor with cutting‑edge technology Prolaio aims to transform real‑world heart data into faster discovery today and precision care for functional cures tomorrow.

Why Work With Us

Kardigan and Prolaio were both founded to challenge the status quo in cardiology. If we have any shot at radically reducing the time and cost to develop meaningful new medicines and provide better healthcare access and outcomes for patients we need to fundamentally embrace real-world data and AI-based tools in a way that is fully integrated across

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