About the job
About Us
At Claritas Rx, we are a forward-thinking digital health startup, fueled by venture capital, dedicated to addressing the complexities of specialty biopharmaceutical products in today's market. Our goal is to enhance the patient experience beyond the confines of clinical trials. By utilizing our proprietary technology platform and extensive manufacturer knowledge, we automate and integrate channel, commercial, and clinical data, enabling biopharmaceutical companies to derive actionable business insights. Our efforts reveal the real-world factors that influence patient access, therapy duration, and vital metrics that contribute to commercial success, ultimately making a significant difference in patient healthcare.
Position Overview
We are in search of a talented Data Engineer to join our swiftly expanding healthcare technology team. Reporting directly to the Head of Customer Engineering, you will play a crucial role in executing various data engineering projects aligned with our customer-focused technology roadmap. You will develop innovative solutions that tackle both immediate and long-term business challenges while ensuring seamless integration of our platform with client environments.
You will collaborate closely with engineering leaders and fellow team members to design conceptual frameworks, logical databases, taxonomies, data storage solutions, capacity planning, external data interface specifications, data loading strategies, maintenance protocols, and security policies for the Claritas Rx data pipeline. This role requires strong partnerships with Implementation, Product Management, Architects, technical leads, and lead or principal Software Engineers across various teams. Our products yield significant business and clinical insights for biotechnology and pharmaceutical firms. If you are driven by a passion for transforming healthcare through cutting-edge health data platforms and wish to make a substantial impact in a dynamic growth environment, we encourage you to apply!
Key Responsibilities
- Design and oversee the deployment and operation of technology architecture, solutions, and software for capturing, managing, storing, and utilizing structured and unstructured data from various sources.
- Create processes and structures based on business and technical requirements to efficiently channel data from multiple inputs, ensuring appropriate routing and storage using a combination of distributed (cloud) structures, local databases, and other relevant storage solutions.
- Develop technical tools and programming to cleanse, organize, and transform data while maintaining, defending, and updating data structures and integrity through automation.
- Follow design standards and assurance processes during software, systems, and applications development to guarantee compatibility and operability of data connections, flows, and storage requirements.
- Review internal and external business and product requirements for data operations, recommending changes and upgrades to systems and storage as needed.

