data
Posted Apr 21Data Scientist
Remote
Requirements
- Short on time? TL;DR - You: Can define what should be measured, how it should be modeled, and how those insights should shape product and company decisions. - Ownership: You’ll own Junction’s highest-leverage statistical, modeling, and evaluation work across diagnostics, clinical workflows, and AI-enabled product development. - Scope: This is not a pure IC modeling role and not a reporting role.
- 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 - Lead development of predictive models, segmentation approaches, risk or routing logic, and other statistical systems that directly inform
- 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 Nice to have -
- Experience with HIPAA, PHI, or other regulatory clinical frameworks - Deep familiarity with modern data tooling and production workflows across warehouses, orchestration, and transformation layers -
- Experience developing, deploying, and designing evaluation frameworks for LLM or AI-powered features in customer-facing products - Expertise directly working with healthcare, diagnostics, lab data, wearable data, and other clinical data -
- Experience applying causal inference methods, such as diff-in-diff, propensity scoring, or instrumental variables in practice What this role isn’t - Not an analytics role focused on dashboards, reporting, or one-off analysis - Not an ML platform role — you won’t own infrastructure or tooling - Not a good fit if you mainly want to experiment with models or AI ideas without being accountable for how they perform in production - Not a good fit if you struggle with ambiguity.
Benefits
- If you're passionate about how technology can supercharge healthcare, you’ll fit right in.
- 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.
- You’ll set the methodology, research roadmap, and decision framework for how Junction uses data to drive product, clinical, and business outcomes. - Salary: $180,000 – $220,000 + equity - Location: Fully remote (EST timezone only) Why we need you Junction sits in the flow of high-value diagnostics and clinical data.
- Knowing what to work on is part of the job How you'll be compensated - Salary: $180,000 – $220,000 + equity - Your salary is dependent on your location and
- experience level - 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 Oh and before we forget: - Backend Stack: Python (FastAPI), Go,
Additional details
- Healthcare is in crisis and the people behind the results deserve better.
- With more and more data coming from wearables, lab tests, and patient–doctor interactions, we’re entering an era where data is abundant.
- 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.
- We’re already connecting millions and scaling fast.
- Some of that work exists today, but it is not yet owned as a coherent function. Models get built. Analyses get done.
- But we need someone who can define the broader scientific and analytical system: what we should measure, what methods we trust, where modeling creates real leverage, and how that work translates into products and decisions that hold up outside a demo.
- We’re hiring our first Data Scientist to take ownership of, and establish that standard.
- This role will lead Junction’s most important modeling, experimentation, and evaluation work.
- You’ll partner closely with data, product engineering and leadership teams to drive the analytical roadmap by which Junction can leverage differentiated value from data.