SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 180,000 - 220,000 / annual
Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. The company is backed by Creandum, Point Nine, 20VC, Y Combinator, and leading angels, and is already connecting millions of data points while scaling rapidly.
You will be Junction's first Data Scientist, owning the company's highest-leverage statistical, modeling, and evaluation work across diagnostics, clinical workflows, and AI-enabled product development. This is not a pure individual contributor modeling role nor a reporting role—you will set the methodology, research roadmap, and decision framework for how Junction uses data to drive product, clinical, and business outcomes.
Day-to-day responsibilities include:
- Own 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 to distinguish signal from noise and make defensible decisions
- 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 validation and performance tracking
- Partner with engineering and data engineering to ensure models and analytical systems are production-ready, 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
You will partner closely with data, product engineering, and leadership teams to drive the analytical roadmap by which Junction can leverage differentiated value from data. The role requires both strategic thinking and hands-on execution—defining the roadmap while also diving into details when needed.
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 designing, executing, and publishing research studies
- 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
