Data Scientist

About the role

Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. Our mission is to use health data to unlock unprecedented insight into human health and disease.

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
• 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
• Evaluate 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

Requirements

• 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
• Able 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

What You'll Be Doing Day To Day

• 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
• 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
• Evaluate 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

Compensation

• Salary: $180,000 – $220,000 + equity
• Your salary is dependent on your location and experience level
• Equity (extended exercise post 2 years employment)
• Company and Team offsites
• Monthly learning budget of $150 for personal development and productivity
• 100$ Monthly wellness budget
• Flexible, remote-first working - including $1K for home office equipment
• Coworking budget
• 36 days paid time off (including bank holidays)
• Premium healthcare coverage 4% Monthly contribution to pension/401k
• Yearly blood test on us
• Enhanced parental, foster and adoption leave