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Develop and apply mathematical and statistical theory and methods to collect, organize, interpret, and summarize data
Partner with cross-functional team members, by guiding discussions on optimized methods for data collection, standardization, governance, and reporting in order to develop innovative, analytical solutions
Direct management and oversight of vendor services, ensuring quality and timeliness of vendor product delivery
Provide insights, business intelligence, and management analytics for effective decision making in alignment with Global Networks and Continuous Improvement strategies
Demonstrate Business Process Owner (BPO) contacts to champion reporting needs
Support study team activities, operating review meetings, and management requests through the delivery of information to support performance progress
Perform quality oversight including quality gate controls validating deployment releases
Plan, track, and ensure execution of products and services via Functions Service Providers (FSPs)
May telecommute
Requirements:
Master’s degree (or foreign equivalent) in Statistics, Data Science, Quantitative Sciences, or related field & 2 years of experience in the job offered or in a data science or analytics-related occupation
Statistics including statistical inference and A/B Testing, machine learning algorithms including: Generalized Linear Model, tree-based, ensemble learning, and Natural Language Processing, and deep learning algorithms
Programming languages including: Python, Pandas, scikit-learn, XGboost Natural Language Toolkit, R, and SQL
Analytics and data visualization tools including: Databricks, AWS, Tableau and Power BI
Integrating and analyzing large-scale healthcare datasets, including electronic health records, medical and pharmacy claims including: ICD10 diagnosis codes, procedure codes, National Drug Codes, health plan data, and clinical laboratory results
Building standard data pipeline into centralized analytical platforms or data lakes to enable downstream analytics, health reporting, and Machine Learning use cases
Developing automated health reporting solutions using business intelligence or visualization tools including: Tableau and Power BI to monitor population health, program performance, and operational Key Performance Indicators
Designing and implementing risk scores, health economics metrics, and health analytics to support population health management, financial performance, and clinical decision-making
Developing and deploying end-to-end machine learning and advanced statistical models to solve healthcare or biopharmaceutical challenges and support clinical care and disease management
Modern analytics and MLOps platforms or frameworks including: Databricks, MLflow, and Airflow to build, deploy, and monitor data and Machine Learning pipelines in production environments
Leading data science or analytics initiatives in healthcare or biopharmaceutical setting, including translating complex clinical and business problems into analytics roadmaps and artificial intelligence and machine learning use cases
Collaborating with cross-functional stakeholders to define requirements, interpret analytic results, and drive implementation and adoption of analytic solutions
What we offer:
stock
retirement
medical
life insurance
disability insurance
eligibility for an annual bonus
health and welfare plans for staff and eligible dependents
financial plans with opportunities to save towards retirement or other goals
work/life balance
career development opportunities
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
discretionary annual bonus program
stock-based long-term incentives
award-winning time-off plans
flexible work models, including remote and hybrid work arrangements, where possible