Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Claritas Rx is looking to solve the challenges of specialty biopharmaceutical products in the marketplace by illuminating the patient experience beyond the clinical trial and generating actionable business insights for biopharmaceutical companies.

Requirements

• Proficient in applying statistical programming language such as Python or R to analyze large volumes of data to derive insights and produce data visualizations
• Capable of applying foundational statistical concepts and methodologies to answer business questions, including but not limited to: statistical distribution, A/B testing, experimental design, hypothesis testing
• Foundational knowledge of statistical modeling methods and techniques, including logistic regression, multivariate linear regression, variable feature selection
• Solid practical knowledge and experience with tabular datasets and relational database; able to exam, clean and transform datasets programmatically using Python, R and/or SQL for subsequent analysis and modeling
• Write data analysis code that is functional, clear and easy to understand; able to deploy existing Department core asset library to address various business needs
• Tableau development experience
• Familiarity with healthcare data sources (transactional, clinical, behavioral), and the healthcare industry in general
• Expertise in commercial/clinical analytics

Responsibilities

• In collaboration with the Customer Success team, perform data analysis and reporting, create visualizations and presentations to answer business questions and support analytical consulting revenue
• Collaborate with Customer Success and Product teams to productize and deploy analytical features and tools to enhance product value and meet customer needs
• Learn and apply existing Department data science tools, methodologies and processes to analyze and answer business questions
• Contribute to the development of cutting-edge analytics solutions for our platform; leverage data science technologies, including machine learning, to build or improve patient journey predictive analytics tools and models
• Maintain and improve core analytical data models and data science algorithms
• Establish productive working relationships with senior stakeholders and partners across functions
• Proactively research and study new techniques and tools to resolve challenges and improve outcomes

Other

• MS in Data Science, Mathematics, Statistics, Business Analytics, Engineering, Operations Research, or other STEM fields, with 1 year experience in analytics or data science function at pharma/biotech manufacturer, health tech start-up, or technology company
• Good written and oral communication
• A creative approach to analytical problem solving and a relentless passion for quality and innovation
• Self-starter, intellectually curious, result-oriented and thrives in a fast-paced entrepreneurial environment
• Ability to work in a collaborative team environment