Data Scientist

Access Medical Laboratories is a specialty diagnostic laboratory seeking an innovative, business-focused Data Scientist for its Digital Transformation team. The role develops and deploys AI, machine learning, predictive analytics, dashboards, and other data-driven solutions to improve operational efficiency, customer experience, and business performance across multiple departments.

What you'll do:

• Develop and implement AI and machine learning solutions that improve operational efficiency and business outcomes across multiple departments
• Collaborate with business leaders to identify opportunities where AI and advanced analytics can solve operational challenges
• Translate business needs into predictive models, machine learning algorithms, and actionable insights
• Design, develop, validate, and deploy production-ready AI/ML models
• Monitor model performance and continuously optimize solutions based on business outcomes
• Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement
• Build dashboards and reporting tools that communicate insights to technical and non-technical stakeholders
• Partner with IT, software development, laboratory operations, finance, and commercial teams to integrate AI solutions into existing workflows
• Ensure data quality, governance, and compliance with healthcare data standards and organizational policies
• Stay current on emerging AI technologies and recommend innovative applications that drive competitive advantage
• Develop predictive churn models to identify clients at risk and recommend retention strategies
• Build real-time courier delivery analytics to monitor specimen collections, deliveries, and sample stability throughout transportation

What they're looking for:

• • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
• • 1-3 years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics
• • Experience developing and deploying machine learning models in a production environment
• • Strong proficiency in Python and SQL
• • Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or similar frameworks
• • Experience working with cloud platforms such as Azure, AWS, or Google Cloud
• • Experience creating dashboards using Power BI, Tableau, or similar visualization tools
• • Strong understanding of statistical modeling, predictive analytics, and optimization techniques
• • Experience working within healthcare, diagnostics, biotechnology, laboratory services, or life sciences
• • Experience with MLOps, model deployment, and automation
• • Familiarity with Generative AI, Large Language Models (LLMs), and AI copilots
• • Experience integrating AI solutions into enterprise applications

Benefits:

• Each individual and team is recognized for their accomplishments.
• Teamwork and mentorship, enabling each individual to consistently grow and develop.
• A sense of belonging, family, and community.
• An environment where people feel empowered.