Helium Health is hiring a Data Scientist who will play a pivotal role in harnessing the vast amount of healthcare data we collect to develop predictive models, optimize clinical workflows, and support critical decision-making.
The ideal candidate will work closely with data engineers, clinicians, and product teams to build data-driven solutions that directly impact the healthcare industry.
Role Summary
- Organization: Kuda
- Category: Job Updates
- Mode: Hybrid (Full-time)
- Location: Lagos, Nigeria
- Benefits: Competitive salary | Health Insurance
- Deadline: Unspecified
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Helium Health
Helium Health is accelerating Africa’s transition to a technology and data-driven healthcare sector. We provide a suite of solutions that serve as the digital infrastructure for all healthcare stakeholders in Africa: providers, payers, patients & governments.
Benefits
- Competitive salary
- Package includes guaranteed take home
- 20 days holidays + public holidays
- Enhanced Parental + Family Leave – 60 days paid Maternity Leave and 20 days paid Paternity Leave. Our Adoption Leave policy follows the similar arrangements.
- Health Insurance or Medical Allowance
- Robust Learning and Development Opportunities
- Team-building activities and social events Amazing team culture
Responsibilities of the Data Scientist at Helium Health
- 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
Required Experience and Skills of The Data Scientist at Helium Health
- 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.
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