Data Scientist, Janus Health
More information about location
Powering operational efficiency in healthcare
Open for applications
Powering operational efficiency in healthcare
101-200 employees
Open for applications
More information about location
101-200 employees
Company mission
To empower health systems and its operational workforce to achieve more and reduce the cost of care nationwide.
Role
Who you are
- Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field. A PhD is a plus
- 3+ years of experience in data science, ideally within healthcare or a related field
- Proven experience building machine learning models, particularly for process mining, anomaly detection, or optimization
- Strong programming skills in Python, with experience using data science libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience with process mining tools and techniques is a strong plus
- Proficiency in SQL for data manipulation and query optimization
- Experience working with large datasets and big data technologies (e.g., Hadoop, Spark)
- Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib) to present findings effectively
- Understanding of healthcare revenue cycle management (claims processing, billing workflows) is preferred but not required
- Excellent problem-solving and critical-thinking abilities
- Strong verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders
- Self-motivated and able to work both independently and as part of a collaborative team
- Detail-oriented with a passion for continuous improvement
What the job involves
- In this role, you will apply advanced data science techniques to large datasets captured from healthcare revenue cycle processes, helping to identify trends, optimize workflows, and create actionable insights
- Your work will directly influence product development by developing algorithms that power operational intelligence
- This is a unique opportunity to work at the intersection of data science, healthcare, and software development
- You will collaborate closely with engineers, product managers, and domain experts to deliver high-impact solutions that enhance the efficiency of revenue cycle management
- Data Analysis & Model Development:
- Analyze large datasets from healthcare revenue cycle processes to uncover trends, patterns, and anomalies
- Build and refine machine learning models for process mining, workflow optimization, and recommendations
- Develop algorithms to detect workflow bottlenecks, inefficiencies, and deviations from the optimal process path
- Calculate metrics and KPI’s to quantify process efficiency and effectiveness
- Collaboration & Cross-Functional Work:
- Collaborate with software engineers, data engineers, and product managers to integrate data science solutions into the product
- Work with domain experts in healthcare revenue cycle management to understand business requirements and data sources
- Translate healthcare RCM business problems into analytical frameworks
- Model Validation & Optimization:
- Validate and optimize models to ensure they deliver accurate insights and actionable recommendations for users
- Conduct A/B testing and model validation techniques to measure model performance in real-world conditions
- Visualization & Communication:
- Develop visualizations, dashboards, and reports to communicate findings and insights effectively to both technical and non-technical stakeholders
- Present and explain complex models and data-driven solutions to stakeholders in product development and healthcare operations
- Continuous Improvement & Innovation:
- Stay current with the latest trends in machine learning, AI, and healthcare technology, and bring innovative ideas to the team
- Experiment with new data science techniques to improve the product’s process intelligence and automation capabilities
Our take
Every year, the healthcare industry loses billions of dollars in uncollected payments. Janus Health solves this problem by improving processes and decision making.
Janus Health uses real-time predictive recommendations to guide human workers throughout the healthcare claim cycle. It also automates processes in order to boost productivity. This combined approach saves healthcare companies valuable time and money, and reduce the cost-to-collect.
Janus Health is tapping into a lucrative market gap, which will help to ensure that the company scales accordingly in the next five years. Substantial funding will support its rapid market expansion, as well as going towards product development and go-to-market initiatives.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Dec 2021
$8m
SERIES A
Total funding: $8m
Company benefits
- Employee stock options
- Flexible schedule & environment
- Unlimited PTO
- Health, dental & vision
- 401k
- 10 company holidays
Company values
- Ownership: Everyone is a contributor and is empowered to drive improvement.
- Curiosity: Playing and learning every day.
- Partnership Over Profit: Prioritizing long-term relationships.
- Eagerness: Demolishing barriers to building and innovating.
- Radical Transparency: Openness in communication and decision making across the organization.
- Community: Nurturing an environment where all employees and partners can thrive.
- Humility: We strive to be ideal team players, setting aside ego.
Company HQ
Chicago Loop, Chicago, IL
Articles
Leadership
Brendan Downing
(CEO)Started out as a Revenue Cycle Project Manager at Epic, and was CEO of Falcon Consulting Group. Served as President of XSELL Technologies.
Brian Kaufman
(CPO)Previously worked as a Senior Consultant at Huron Consulting Group, and as a Technical Operations Manager at Falcon Consulting Group. Was Head of Technology at XSELL Technologies.
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