Data Scientist at Helium Health

Helium Health is a full-service Healthtech company that provides a suite of solutions for healthcare providers, payers, and patients in emerging markets — at the core of which is our SaaS based electronic medical records/hospital management information system (EMR/HMIS).

We are recruiting to fill the position below:

Job Title: Data Scientist

Location: Lagos
Job Type: Full time

Role Overview

• As a Data Scientist at Helium Health, you 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.
• You will work closely with data engineers, clinicians, and product teams to build data-driven solutions that directly impact the healthcare industry.
• This is an exciting opportunity to apply advanced machine learning, statistical analysis, and AI techniques to improve patient care and operational efficiency.

Responsibilities
Data Science

• 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.

Business Intelligence:

• 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.

People Management:

• 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.

Requirements

• 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.

Preferred Qualifications:

• Experience working with EHR systems and clinical data workflows
• Familiarity with cloud platforms (AWS, Azure, GCP) for deploying machine learning models and scalable data solutions
• Prior experience with time-series analysis, predictive modeling or deep learning techniques in healthcare
• Strong understanding of healthcare operations, including clinical decision-making, patient management and population health. 

Benefits
This role offers a competitive salary in a collaborative work environment with a dynamic and diverse team. We also offer tremendous potential with a growing global organization. 

• 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! 

Application Closing Date
Not Specified.