Analytics Expert

6 days ago

South San Francisco, California, United States Claritas Rx Full time
Job Opportunity

Company Overview

Claritas Rx is a pioneering digital health venture that aims to illuminate the patient experience beyond the clinical trial. Our mission is to bring clarity to the challenges of specialty biopharmaceutical products in the marketplace.

The Position

We are seeking a highly skilled Data Science Analyst to join our team. As a Data Science Analyst, you will work closely with our Customer Success and product teams to design, build, and deploy advanced analytics models to support our product and customers' business needs.

Key Responsibilities

  • Collaborate with the Customer Success team to perform data analysis and reporting, create visualizations and presentations to answer business questions and support analytical consulting revenue
  • Work 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
  • Complete work independently within reasonable timelines, taking initiatives to perform quality checks to ensure the accuracy and completeness of work deliverables
  • Follow Department protocols and best practices in completing tasks and duties
  • Contribute to the development of cutting-edge analytics solutions for our platform, leveraging 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
  • Proactively research and study new techniques and tools to resolve challenges and improve outcomes

Requirements

  • BS in Data Science, Mathematics, Statistics, Business Analytics, Engineering, Operations Research, or other STEM fields, with 0-2 years' experience in analytics or data science function at pharma/biotech manufacturer, health tech start-up, or technology company
  • Able to apply statistical programming language such as Python and SQL to analyze large volumes of data to derive insights and produce data visualizations
  • Strong academic background in statistical concepts and methodologies, including but not limited to: statistical distribution, A/B testing, experimental design, hypothesis testing
  • Strong academic background in statistical modeling methods and techniques, including logistic regression, multivariate linear regression, variable feature selection
  • Solid understanding about relational data; able to examine, clean, and transform datasets programmatically using Python and/or SQL for subsequent analysis and modeling
  • Good written and oral communication, able to clearly explain work process and logic to peers and supervisors clearly
  • Strong problem-solving skills and drive for success

Preferred Qualifications

  • Academic background in computer science

Education

Required: BS in Data Science, Mathematics, Engineering, Operations Research, Statistics, Business Analytics or other STEM fields

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