JOB DESCRIPTION:

The Principal Data Scientist, Digital Solutions reports to the Head of Technology, Digital Solutions. The Principal Data Scientist role will closely work with cross-functional product teams and responsible for designing, developing, and deploying external customer-focused Product focused AI (PAI) / data science solutions to extract valuable insights and intelligence from large and complex medical datasets. The Principal Data Scientist role will exhibit a sense of inquisitiveness and a creative mind to uncover novel opportunities that will directly contribute to enhancing the quality of patient care and the development of innovative medical devices and therapy solutions.

JOB RESPONSIBILITIES:

• Conduct exploratory data analysis to identify patterns and trends, informing the development of robust algorithms.
• Design, develop and optimize predictive models using machine learning to solve complex (clustering, classification, regression, simulation, and optimization) problems on large-scale data sets, which ultimately optimizes and increases clinical outcomes.
• Monitor and track model performance, identify and address issues, and iterate on models for continuous improvement.
• Perform rigorous testing and validation of models to ensure reliability and accuracy in diverse real-world scenarios.
• Build and maintain machine learning pipelines, including data ingestion, feature engineering, model training and deployment.
• Create and maintain technical specifications and relevant documentation required to operate in a regulated medical device space.
• Work closely with the cross functional technical and non-technical stakeholders and teams to understand (business / clinical) domain complexity, explain application of complex machine learning concepts and translate into technical solutions.
• Collaborate with external partners, academic institutions, and healthcare providers to access additional data sources and research opportunities.
• Stay up to date with the latest advancements in machine learning research and implement relevant technologies to deliver state of the art data science solutions.

EDUCATION AND EXPERIENCE:

Required:

• Master’s Degree in Data Science, Computer Science, Statistics, or a related field
• 8-10 years of experience in a relevant industrial or academic setting.
• Experience in the Life Science Industry.
• Proven expertise in data science methodologies and statistical techniques.
• Strong knowledge of core machine learning concepts, algorithms, and techniques.
• Strong hands-on experience and expertise in large-set data analysis, data cleaning, wrangling, feature engineering, and model evaluation.
• Advanced proficiency in programming languages such as (R / Python / Java / C#), SQL.
• Advanced proficiency with machine learning frameworks such as Keras, PyTorch, or Tensorflow and libraries such as numpy, scikit-learn, scipy and statsmodel.
• Strong problem-solving and critical thinking skills.
• Excellent written and verbal communication skills to convey complex technical concepts and findings to non-technical stakeholders and collaborate effectively across teams.

Preferred:

• Previous experience in healthcare technology or related fields.
• Experience working in Cloud Computing environments (e.g., AWS, Azure, GCP).
• Experience with healthcare data, including Electronic Health Records (EHR).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with data privacy and security regulations, such as HIPAA.