Data Scientist at Helium Health

Job Title: Data Scientist

Activities

• Create data science strategies that align with the company’s goals and objectives. 
• Analyze large, structured, and unstructured healthcare datasets (e.g., clinical, administrative, and claims data) to discover insights, trends, and opportunities.
• Develop predictive models, such as patient risk stratification, readmission prediction, and disease progression modeling, using machine learning and statistical techniques.
• Build and deploy algorithms that improve clinical decision-making, including natural language processing (NLP) for extracting insights from clinical notes and other text-based data.
• Collaborate with healthcare professionals to understand clinical workflows and design solutions that enhance patient outcomes.
• Design and implement A/B testing frameworks to evaluate the effectiveness of new interventions or system features.
• Create data visualizations and reports to communicate key findings to stakeholders, including clinicians, healthcare administrators, and product teams.
• Ensure the quality, integrity, and compliance of all data processes, aligning with regulations such as HIPAA and HITECH.
• Work closely with data engineers to optimize data pipelines and develop scalable solutions for real-time analytics.
• Stay current with the latest developments in data science, AI, and healthcare technology to apply cutting-edge methods to healthcare problems.
• Partner with business to provide insightful analytics to improve processes; explore opportunities for analytics.
• Assist in translating complex datasets into strategic insights for the business; communicate to non-technical audiences, visualize results, and create understandings and solution buy-in.
• Lead the team of data scientists and analysts in the development and implementation of data science projects.
• Participate in peer review of requirements and code review with the larger team.

Candidate Profile

• Master’s or BSc. in Data Science, Statistics, Computer Science, Biomedical Informatics, or a related field.
• 3+ years of experience in data science or machine learning, preferably in healthcare or EHR environments.
• Proficiency in programming languages such as Python or R, along with SQL for data manipulation.
• Proficiency in the development, validation, implementation, and production launch of machine-learning algorithms and models.
• Strong expertise in machine learning algorithms (e.g., regression, decision trees, clustering, neural networks) and experience with libraries such as TensorFlow, Scikit-learn, or PyTorch.
• Experience working with healthcare data standards and formats (e.g., HL7, FHIR, ICD codes, claims data).
• Knowledge of statistical analysis and experimental design, including A/B testing, hypothesis testing, and survival analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, or Matplotlib) to present insights clearly to non-technical audiences.
• Experience with natural language processing (NLP) for extracting insights from clinical notes and medical documents is a plus.
• Strong problem-solving and communication skills, with the ability to work effectively in cross-functional teams.
• Knowledge of healthcare regulations and standards (e.g., HIPAA, HITECH) and the importance of data security and privacy.
• Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation
• Deep appreciation for diversity of thought and a proponent for collaborative solutions.
• Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.

Application Instructions:

The application deadline is Not Specified. Therefore qualified and interested candidates can “CLICK HERE TO SUBMIT APPLICATION”