Data Scientist
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Job Description
Data Scientist at Junction leading innovative modeling in diagnostics and clinical workflows. Building frameworks and models to transform patient data into actionable insights for healthcare.
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
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
Benefits:
- Generous early stage options (extended exercise post 2 years employment)
- Regular in-person offsites, last were in Tenerife and Miami
- Monthly learning budget of $300 for personal development and productivity
- Flexible, remote-first working - including $1K for home office equipment
- Monthly budget of $150 to use towards a coworking space
- 25 days off a year + national holidays
- Healthcare coverage depending on location
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