What are the responsibilities and job description for the Data Science Engineer at Helpcare AI position at Helpcare AI?
About Helpcare AI
At Helpcare AI, our mission is to expand the world’s capacity to care, 3x the care received per year, and break the 40-year interoperability barrier by eliminating the administrative burden that slows healthcare providers. Helpcare's autonomous AI agents find, call, and schedule, freeing medical teams to prioritize patient care & access to healthcare.
Who You Are
At Helpcare AI, our mission is to expand the world’s capacity to care, 3x the care received per year, and break the 40-year interoperability barrier by eliminating the administrative burden that slows healthcare providers. Helpcare's autonomous AI agents find, call, and schedule, freeing medical teams to prioritize patient care & access to healthcare.
Who You Are
- Data Story Teller: You excel at onboarding data from multiple sources, accurately understanding the numbers, generating new insights, and clearly articulating that story.
- Problem Solver: You analyze challenges, identify opportunities for improvement, and implement robust solutions that support healthcare delivery.
- Detail-Oriented Engineer: You ensure data integrity while building scalable systems for identity matching, care gap calculations, and report generation.
- Team Player: You communicate effectively, collaborate cross-functionally, and contribute to a supportive, high-performing culture.
- Onboard Data: Work with multiple data sources to import and normalize client data, ensuring seamless integration with our systems.
- Identity Matching: Implement and refine identity-matching algorithms to link patient records accurately across datasets.
- Apply Care Gap Calculations: Develop and apply care gap calculations to provide actionable insights for healthcare providers.
- Generate Specialist Reports: Build pipelines to create detailed specialist reports that inform clinical and operational decision-making.
- Ensure Data Compliance: Maintain alignment with healthcare regulations, including HIPAA, while working with sensitive patient data.
- Collaborate: Work closely with AI specialists, product managers, and engineers to develop features that enhance the capabilities of our autonomous agents.
- Proven Data Engineering Expertise: 5 years of experience as a data engineer, with a focus on healthcare data integration and management.
- Technical Proficiency: Proficiency in SQL, Python, and data pipeline tools (e.g., Airflow, Spark) with an understanding of ETL processes.
- Healthcare Knowledge: Experience with healthcare coding standards (ICD, HCPC, LOINC) and familiarity with CMS guidelines.
- Adaptability and Initiative: Comfortable working in a fast-paced startup environment and proactive in driving projects forward.
- Shape and Grow: As a founding team member, you'll influence the direction and culture of a YC-backed startup, engaging in a dynamic environment with significant opportunities for personal and professional development.
- Rewarding Compensation: Competitive salary, meaningful equity, and 2x performance bonuses per year. We work and reward in 6 month iterations.
Salary : $120,000 - $159,961
