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Data Scientist at Helium Health

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Full Time Jobs
Lagos
Posted 7 months ago

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”

Job Features

Job CategoryData Analyst/Data Management/Database Administrator/Data Scientist Jobs

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