Data Scientist

## About the Role Junction is seeking a highly skilled Data Scientist to lead its high-stakes analytical work and drive product decisions with data. As a key member of the team, you will own the research and modeling work underlying Junction's highest-priority data science opportunities. 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 successful candidate will have a strong track record of leading high-stakes analytical work that influenced product, operational, or business decisions. You will have a 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, are also essential.

Junction's mission is to use health data to unlock unprecedented insight into human health and disease. With the company growing rapidly, the need for a Data Scientist to take ownership of and establish a coherent function for data-driven decision-making has never been more pressing.

## What You Will Do - 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 to distinguish signal from noise and make decisions that can be defended - 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 - Set the methodology, research roadmap, and decision framework for how Junction uses data to drive product, clinical, and business outcomes - Collaborate with cross-functional teams to drive the adoption of data-driven decision-making across the organization

## What We Are Looking For - 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 - Excellent communication and collaboration skills, with the ability to work with technical and non-technical stakeholders - Ability to work in a fast-paced, EST-timezone-only remote environment - Strong problem-solving skills, with the ability to break down complex problems into manageable components - Experience with data visualization tools and techniques

## Nice to Have - Experience working in the healthcare or medical devices industry - Knowledge of cloud-based data platforms and tools, such as AWS or Google Cloud - Experience with machine learning or deep learning frameworks, such as TensorFlow or PyTorch - Certification in data science or a related field

## Benefits and Perks - Competitive salary range of

- Develop a strong portfolio that showcases your ability to lead high-stakes analytical work and drive product decisions with data.

• Be prepared to discuss your experience with statistical inference, experimental design, and model evaluation in detail.
• Highlight your ability to communicate complex technical findings to non-technical stakeholders.
• Research Junction's mission and values, and be prepared to discuss how your skills and experience align with the company's goals.
• Be prepared to discuss your experience working with large, messy real-world datasets and your ability to build predictive or decision-support models.
• Consider reaching out to current or former employees to learn more about the company culture and what it's like to work at Junction.