Laboratory Data Scientist

Access Medical Laboratories is a specialty diagnostic laboratory focused on precise, reliable testing and personalized medicine. The company is seeking a business-focused Data Scientist to develop, deploy, and optimize AI, machine learning, predictive analytics, and data science solutions that improve operational efficiency, customer experience, and business performance across multiple functions.

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:

• Teamwork and mentorship enabling each individual to grow and develop
• Each individual and team is recognized for their accomplishments
• A sense of belonging, family, and community