Data Scientist for Healthcare Insights
1 week ago
Lydia AI, a pioneer in applied artificial intelligence, seeks a skilled Data Scientist to join our mission of protecting the health and prosperity of the next billion people.
About Lydia AIWe offer a cutting-edge digital risk scoring engine that enables businesses to enhance their customers' financial portfolios through personalized, embedded financial products. Our innovative approach uses digital alternative data to make accurate dynamic risk predictions, which are then used to personalize and automate underwriting.
Job OverviewWe are looking for a talented Data Scientist to focus on maximizing the usability of large healthcare datasets presented in different languages, formats, and recorded variables to train machine learning models.
Key Responsibilities- Develop data collection plans and ensure the integrity of data collected throughout all stages of acquisition and processing.
- Quantitatively test hypotheses about data used to create models that increase the performance of predictive models.
- Combine expert knowledge of statistical methodology and analysis with advanced programming skills to perform exploratory data analysis and uncover patterns in user's health and activities.
- Train ML models on structured, unstructured, and time series data coming from electronic health record (EHR) systems, insurance claims, and wearable devices.
- Contribute to data quality control, model validation, and model explainability investigation.
- Graduate degree (MS or equivalent) or higher in a quantitative field such as Mathematics, Statistics, Biostatistics, Computational biology, or Medical Sciences.
- At least one (1) year of experience working with health data, such as electronic health records (EHR), lab tests, prescriptions, tabular health data, insurance claims, or risk data.
- Experience with SQL and NoSQL databases.
- Programming experience in Python; knowledge of standard data analysis tools (for example Pandas); programming experience in Typescript/Javascript or experience with other analytics software (R, SAS, STATA, MATLAB, Mathematica) is a plus.
- Familiarity with machine learning frameworks and libraries.
- General knowledge of building AI/GenAI systems.
- Familiarity with data structures, data modeling, and software architecture.
- Creative in finding new solutions as well as designing innovative methods, systems, and processes.
- Ability to conduct independent research.
- Experience in actuarial science, insurance, or fintech is a plus.
- Good interpersonal and communication skills.
- Paid full-time position (40 hours per week).
- Remote work option with occasional team meetups in Toronto.
- Diverse and inclusive work environment that values diversity, equity, and inclusion.
Estimated salary range: $80,000 - $120,000 per annum, depending on location and experience.
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