Analytics Data Engineer

Claritas Rx is a venture-backed digital health startup that brings clarity to the challenges of specialty biopharmaceutical products in the marketplace. In today’s highly complex specialty networks, our mission is to illuminate the patient experience beyond the clinical trial. Claritas Rx leverages a proprietary technology platform and deep manufacturer expertise to automate and integrate channel, commercial, and clinical data and help biopharmaceutical companies generate actionable business insights. Our work uncovers the real-world variables impacting patient access, duration of therapy, and other metrics key to commercial success, making a real impact on patient healthcare.

The Position

We are a rapidly growing healthcare technology company seeking an Analytics Data Engineer. As part of our Data Science team reporting to the Sr. Director of Analytics, you will be responsible for delivering on many data engineering initiatives towards our Analytics product roadmap. The role partners very closely with the Product Development and Customer Experience team to deeply understand the semantics of data to which we have access and scale our environment in support of AI / machine learning solutions.  Our products generate actionable business and clinical insights for biotech and pharmaceutical companies. If you are passionate about revolutionizing healthcare through innovative health data platforms and want to significantly impact a fast-paced growth environment, we would love to hear from you!

Responsibilities

• Design, build and maintain the technology architecture, solutions, and software to capture, manage, store and utilize structured and unstructured data for the purposes of Data Science solutions.
• Design, develop and maintain Claritas Analytics Data Model to support scalable Advanced Analytics and Data Science solutions
• Rapidly iterate and evolve Claritas ML feature stores to enable scalable machine learning solutions.
• Scale and upgrade Claritas Analytics Data Model, ML feature stores and pipeline to efficiently and reliably process millions of rows of data
• Develop and deploy complex business metrics and reports, in collaboration with Data Science, Product and Customer Success team members.  
• Reviews business and product requirements for our data model and feature stores and make updates to accommodate ongoing business goals.
• Execute data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data across different systems and platforms
• Document data pipelines, workflows, and best practices for knowledge sharing and maintainability

Requirements

• B.S. in computer science, engineering, or related degree
• 5+ years of professional data engineering experience, focused on data architecture and business intelligence systems including ELT development, data transformation, and data modeling.
• Deep understanding of data modeling concepts (ETL, data structures, metadata and workflow management).
• Proficient in Python (Pandas) and SQL, and understand the best practices for when to use which language for analytical reporting
• Passionate about understanding the business needs behind reporting requirements, and able to appropriately design, transform raw data to produce required metrics
• Experience with reporting tools such as Tableau or Looker
• Experience with Agile software development (e.g. scrum, Kanban).
• Excellent communication skills to narrate data driven insights and technical approach
• Experience in a fast-paced environment with enterprise class software release experience as well as SaaS based short, quick product life cycles.
• Ability to prioritize, organize and execute multiple tasks with attention to detail
• Ability to work and collaborate proactively in a fast paced, dynamic and team-oriented environment
  

Preferred:

• Experience working in AWS and Snowflake
• Deep knowledge of data management in specialty biotech, and/or operations in reimbursement call centers or specialty pharmacies.
• Familiarity with HIPAA/SOC/HITRUST/GDPR requirements.

Benefits

We are seeking to add new expertise and perspective to our strong team of experienced professionals.  We aspire to a culture of accelerated professional development through shared learning and collaboration; a respectful and fun work environment; and employee empowerment through the effective use of technology and tools.

In addition to our great environment, we offer a competitive salary and benefits package and the opportunity to make a significant impact on a first-in-industry digital health solution.  Please send a cover letter along with your resume when applying to the position of interest.  Claritas Rx em