Health Data Scientist: Lead Modeling for Production AI

Junction; United States; Remote; USD 180,000 - 220,000; Full time

Benefits offered by this job

Equity

Remote-first

Learning budget

Wellness budget

Premium healthcare

Pension/401k

Time off

Home-office stipend

Coworking budget

Offsites

Job summary

Junction is hiring its first Data Scientist to own and establish the standard for modeling, experimentation, and evaluation across diagnostics, clinical workflows, and AI-enabled product development. You will partner with data, product engineering, and leadership to drive the analytical roadmap.

This fully remote role requires leading high-stakes analyses, developing predictive models, and communicating findings to executives, with equity as part of the compensation.

Qualifications

• Strong track record of leading high-stakes analytical work that influenced product, operational, or business decisions.
• Deep foundation in statistical inference, experimental design, observational analysis, and model evaluation.
• Strong Python and/or R skills, with experience working on large, messy real-world datasets.
• Experience building predictive or decision-support models in production or near-production environments.
• Experience partnering closely with engineering to move work from analysis or prototype into deployed systems.
• Ability to operate at both strategic and hands-on levels: defining the roadmap while also getting into the details when needed.
• Strong communication and stakeholder management skills; able to explain methods, findings, and tradeoffs to executives as well as technical peers.
• Comfort operating in a startup environment with ambiguity, limited structure, and high ownership.

Responsibilities

• Own the research and modeling work underlying Junction’s highest-priority data science opportunities across diagnostics, clinical workflows, and AI-enabled product features
• Define rigorous frameworks for measurement, experimentation, and causal evaluation so we can distinguish signal from noise and make decisions we can defend
• Lead development of predictive models, segmentation approaches, risk or routing logic, and other statistical systems that directly inform product and business strategy
• Build the analytical foundation behind customer-facing features — from model development through to validation and performance tracking
• Partner with engineering and data engineering to ensure models and analytical systems can be put in production, are reliable, and useful in real workflows
• Establish how Junction evaluates data-driven and AI-enabled features, including methodology, quality thresholds, monitoring, and performance review
• Communicate complex technical findings clearly to technical and non-technical stakeholders, including tradeoffs, limitations, and implications for action

Skills

Statistical inference

Experimental design

Python

R

Predictive modeling

Stakeholder communication

Job description

Junction is hiring its first Data Scientist to own and establish the standard for modeling, experimentation, and evaluation across diagnostics, clinical workflows, and AI-enabled product development. You will partner with data, product engineering, and leadership to drive the analytical roadmap.

This fully remote role requires leading high-stakes analyses, developing predictive models, and communicating findings to executives, with equity as part of the compensation.