Remote Data Scientist at Junction | $180,000–$220,000 + Equity
The healthcare industry is generating more data than ever before. From laboratory results and diagnostic information to wearable devices and patient-doctor interactions, the amount of available health data continues to grow rapidly. However, turning that data into reliable insights that improve healthcare outcomes requires sophisticated data science, statistical analysis, and artificial intelligence.
Junction is hiring a Data Scientist to help build the analytical and scientific foundation behind its healthcare technology platform. This is a senior-level opportunity for an experienced data scientist who can work across statistical modeling, experimentation, causal inference, AI evaluation, and healthcare data.
The position is fully remote, with candidates required to be physically located in the EST or GMT time zones. The advertised compensation is $180,000–$220,000 per year, plus equity. Junction does not currently sponsor visas.
About Junction
Junction is building infrastructure for diagnostic healthcare, with a focus on making patient data more accessible, actionable, and automated across laboratories and devices.
The company's goal is to use healthcare data to generate better insights into human health and disease. Junction is backed by investors including Creandum, Point Nine, 20VC, Y Combinator, and leading angel investors.
As healthcare becomes increasingly data-driven, Junction is working to connect information from different sources and transform it into useful intelligence for healthcare products and workflows.
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About the Data Scientist Role
This is not a conventional reporting or business-intelligence position.
Junction is looking for its first Data Scientist, giving the successful candidate significant ownership over how the company uses data for product development, clinical workflows, diagnostics, and AI-enabled features.
The person hired will help determine:
- What Junction should measure
- How data should be modeled
- Which analytical methods should be trusted
- How experiments should be evaluated
- How AI-enabled features should be tested
- How analytical findings should influence product and business decisions
The position combines strategic ownership with hands-on technical work.
Key Responsibilities
Lead Data Science Research and Modeling
The Data Scientist will own high-priority modeling and research projects across diagnostics, clinical workflows, and AI-powered product features.
This may involve developing predictive models, segmentation systems, risk models, routing logic, and other statistical systems that directly support product and business decisions.
Develop Experimentation Frameworks
A major responsibility will be establishing rigorous methods for experimentation and evaluation.
The successful candidate will develop frameworks that help Junction distinguish meaningful signals from random variation and make decisions based on reliable evidence.
Knowledge of experimental design and statistical inference will therefore be particularly important.
Apply Causal Inference
The role involves analyzing whether changes actually cause measurable outcomes rather than simply identifying correlations.
Experience with methods such as:
- Difference-in-differences
- Propensity scoring
- Instrumental variables
- Observational analysis
can be particularly valuable.
Build Production-Ready Models
The Data Scientist will work with engineering and data engineering teams to move analytical work from prototypes into reliable production systems.
This means candidates should understand not only how to build models, but also how those models perform in real-world environments.
The role therefore requires a balance between statistical expertise and practical software-development collaboration.
Evaluate AI-Powered Features
Junction is developing AI-enabled healthcare products, creating a need for robust evaluation frameworks.
The Data Scientist may help establish:
- Quality thresholds
- Evaluation methodologies
- Performance monitoring
- Model validation
- Ongoing performance reviews
This is particularly important when AI systems are used in healthcare environments where reliability and accuracy matter.
Communicate Complex Findings
The successful candidate must be able to explain complex statistical and technical concepts to both technical and non-technical audiences.
This includes communicating:
- Research findings
- Model limitations
- Statistical uncertainty
- Trade-offs
- Business implications
- Recommended actions
Strong communication and stakeholder-management skills are therefore essential.
Requirements
Junction is looking for an experienced data scientist with a strong foundation in statistical analysis and modeling.
Key requirements include:
- Strong experience leading high-impact analytical projects
- Deep knowledge of statistical inference
- Expertise in experimental design
- Strong understanding of observational analysis
- Experience evaluating statistical or machine-learning models
- Strong Python and/or R skills
- Experience working with large, messy real-world datasets
- Experience building predictive or decision-support models
- Experience working with engineering teams to deploy analytical systems
- Ability to operate strategically while remaining hands-on
- Excellent communication skills
- Ability to work effectively in an ambiguous startup environment
Preferred Qualifications
Candidates with additional healthcare or AI experience may have an advantage.
Junction lists experience with:
- Healthcare or clinical data
- Diagnostic and laboratory data
- Wearable-device data
- HIPAA and Protected Health Information (PHI)
- Modern data warehouses
- Data orchestration and transformation tools
- Large Language Model (LLM) evaluation
- AI-powered customer-facing products
- Research study design and publication
- Causal inference
as desirable qualifications.
Salary and Benefits
The advertised salary range is $180,000–$220,000 per year, depending on location and experience, plus equity.
Benefits include:
- Equity
- Flexible remote-first work
- Home-office equipment allowance
- Coworking budget
- Learning and professional-development budget
- Paid time off
- Healthcare coverage
- Retirement/pension contributions
- Parental, foster, and adoption leave
- Company and team offsites
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The current official listing also describes additional wellness and professional-development benefits.
Who Should Apply?
This opportunity is best suited to experienced data scientists rather than entry-level candidates.
Professionals with backgrounds such as the following may be suitable:
- Senior Data Scientist
- Applied Scientist
- Statistical Scientist
- Machine Learning Scientist
- Quantitative Researcher
- Healthcare Data Scientist
- AI Evaluation Scientist
- Decision Scientist
Candidates should be able to demonstrate how their previous analytical work influenced real product, operational, clinical, or business decisions.
How to Prepare Your Application
Applicants should tailor their resume specifically to the responsibilities of this position.
Highlight experience involving:
- Statistical modeling
- Experimental design
- Causal inference
- Predictive modeling
- Python or R
- Healthcare data
- Machine learning
- AI evaluation
- Production model deployment
- Cross-functional collaboration
Most importantly, demonstrate impact. Instead of simply stating that you built a model, explain what decision the model supported and what measurable outcome it produced.
Important Eligibility Information
This is an important consideration for international applicants.
Although the position is described as remote, Junction currently hires candidates who are physically located in EST or GMT time zones. The company also states that it does not sponsor visas at this stage.
Therefore, candidates should carefully verify their eligibility before applying.
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How to Apply
Interested candidates can apply through the official Junction job listing.
Application Link:
Candidates should review the latest official requirements, location restrictions, compensation details, and application instructions before submitting an application.
Final Thoughts
The Remote Data Scientist position at Junction is a high-impact opportunity for an experienced data scientist who wants to work at the intersection of healthcare, artificial intelligence, statistics, and product development.
Rather than focusing primarily on dashboards or routine reporting, the role gives the successful candidate ownership of Junction's broader data-science methodology, research roadmap, experimentation frameworks, and model evaluation processes.
With compensation of $180,000–$220,000 plus equity, a remote-first working environment, and the opportunity to shape data science at a growing healthcare technology company, this position could be an excellent opportunity for an experienced professional with strong statistical and modeling expertise.
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