Data Scientist

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Data Scientist at Junction · LumiJobs

entry

$180k–$200k

H1B: no

Junction Data Scientist at Junction to own and lead high-leverage statistical, modeling, and evaluation work across diagnostics, clinical workflows, and AI-enabled product development. Define rigorous frameworks for measurement and experimentation to drive product and business decisions.

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

Qualification

Strong Python and/or R skillsExperience designingExperience with HIPAAExperience developingWhat this role isn’t

Required

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

Preferred

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
What this role isn’t
Not an analytics role focused on dashboards, reporting, or one-off analysis