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About the Role
Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. This role will own Junction’s highest-leverage statistical, modeling, and evaluation work across diagnostics, clinical workflows, and AI-enabled product development, setting the methodology, research roadmap, and decision framework for how Junction uses data to drive product, clinical, and business outcomes.
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.
- 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.
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.
- 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.
Skills
- Statistical inference
- Experimental design
- Observational analysis
- Model evaluation
- Python
- R
- Predictive modeling
- Causal inference
Location
- Fully remote (EST timezone only)
Work Type
- Fully remote
- Remote-first
Experience Level
- Senior
Salary/Compensations
- $180,000 – $200,000 + equity
- $180,000 – $220,000 + equity
Benefits
- Equity (extended exercise post 2 years of employment)
- Company and team offsites
- Monthly learning budget of $150 for personal development and productivity
- $100 monthly wellness budget
- $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
About the Company
- Healthcare is in crisis and the people behind the results deserve better.
- Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices.
- Our mission is simple but ambitious: use health data to unlock unprecedented insight into human health and disease.
- Backed by Creandum, Point Nine, 20VC, YC, and leading angels, we’re working to solve one of the biggest challenges of our time: making healthcare personalized, proactive, and affordable.
- We’re already connecting millions and scaling fast.