Junior Full Stack Jobs in Remote, OR (NOW HIRING)

About Zerigo Health 

Zerigo Health is a digital health company changing how chronic skin conditions are treated. Our FDA-cleared, at-home narrowband UVB (nbUVB) phototherapy platform helps people living with psoriasis, atopic dermatitis (eczema), and vitiligo access effective, clinically guided treatment from the comfort of their home. We partner with leading pharmacy benefit managers (PBMs) and health plans to make this care affordable and accessible at scale — and we stand behind every partnership with rigorous, outcomes-based economics. 

About the role 

As our Senior Healthcare Economics Analyst, you will own the analytical integrity of the savings and performance-guarantee story behind every client relationship — the math our contracts, renewals, and financial commitments rest on. Working at the intersection of health economics, value-based care, and payer/PBM analytics, you will design, build, and defend the methodology that proves our clinical program delivers measurable savings to payers and PBMs. This is the highest-stakes analytics work at Zerigo. 

You will be the senior quantitative voice in the room — trusted by leadership and clients alike to build the models, price the risk, and stand behind the numbers. You are equally at home in the methodology and in the data itself, pulling and shaping your own claims datasets so your work is never blocked waiting on someone else. This is a senior individual-contributor role; as the team grows, you may serve as a technical mentor to junior analysts. 

What you’ll do 

• Build reusable, parameterized models that evaluate performance guarantees — incorporating opportunity findings, program performance, and savings assumptions to project performance against target with a confidence interval. 
• Design and build a standardized performance-guarantee measurement engine so recurring savings measurement runs consistently and at scale, rather than by hand. 
• Monitor realized savings against targets and guarantees on a recurring cadence, and own the exceptions — guarantees trending toward breach, client questions, and results that warrant investigation. 
• Serve as the quantitative authority on pricing the risk of new performance guarantees: build the pricing models and recommend terms, partnering with senior leadership who make the final call. 
• Take ownership of existing analytic models, including opportunity analysis — validate, document, and strengthen the methodology, and continuously improve it as real-world outcomes accumulate. 
• Run statistical analyses and author white papers that demonstrate the measured performance of our program; partner with clinical leadership where clinical-outcome methods are involved. 
• Establish trusted, well-documented, reusable analytics the wider organization can rely on, and serve as the go-to expert for core modeling. 
• Partner cross-functionally with data, finance, growth, clinical, and account teams to translate business questions into defensible analysis. 

What you’ll bring 

Required 

• 5+ years in healthcare economics, value-based contracting, or payer/PBM analytics, with genuine ownership of savings, ROI, or performance-guarantee methodology — not solely execution. 
• Deep command of pharmacy and medical claims data, GPI-level drug logic, plan design, and how savings guarantees are measured and priced. 
• Strong applied statistics — confidence intervals, variance and risk, cohort analysis — and actuarial-style risk thinking. 
• Proven model craftsmanship: reusable, parameterized, well-documented models, and the ability to reverse-engineer and validate inherited logic. 
• Self-sufficient with data end to end — able to extract, join, and shape large claims datasets in SQL and prepare reproducible, well-structured data for your own models, without relying on a data engineer. 
• Proficient in Python or R, and comfortable working in Tableau and a modern cloud data stack. 
• Demonstrated ability to use AI tools to accelerate and scale analytic work. 
• Excellent communication — able to explain complex methodology to executives and defend a number under client or auditor scrutiny. 
• Bachelor’s degree in a quantitative, economics, health-policy, or related field, or equivalent experience. 

Preferred 

• Graduate training in health economics, biostatistics, or a related quantitative discipline; actuarial exam progress (full credentialing not required). 
• Direct experience pricing or evaluating performance guarantees in a PBM, payer, or value-based-care setting. 
• Experience in a high-growth startup or digital health environment.