Data Engineer

Paradigm

Paradigm

Software Engineering, Data Science
Remote
Posted on Thursday, June 27, 2024

Paradigm is rebuilding the clinical research ecosystem by creating a platform that enables equitable access to trials for all patients while enhancing trial efficiency and reducing the barriers to participation for healthcare providers. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm aims to break down barriers across the trial ecosystem through one seamless infrastructure implemented at healthcare provider organizations, bringing potentially life-saving therapies to patients faster.

Our team is diverse in its experience and committed to the company’s mission to create equitable access to clinical trials for any patient, anywhere. Join us, and bring your expertise, passion, creativity, and drive as we work together to realize this mission.

The Data Engineering team at Paradigm is dedicated to constructing the infrastructure for clinical care data. We ingest data from multiple data sources: Electronic Health Records, Lab providers, Health Information Exchanges (and more). We enrich, harmonize, and make it available for multiple consumers and product verticals. As our population, research, and health system footprint grows we will scale our architecture to support parallel data processing.

Our efforts support ML & Data Science teams in optimizing and developing new classification models. We collaborate with Data Scientists and Analysts to enhance patient-matching heuristics, address trial & research site feasibility queries, and unearth insights for clinical trial opportunities. Additionally, we engage with application consumer teams to optimize data for Clinical Trial Matching workflows and Study Conduct processes.

As an Engineer IC on the Data team, you will work closely with product and data consumers to enhance the breadth, quality, and completeness of our data. You and your team will take ownership of critical system components, focusing on designing them for performance, correctness, and reliability. Your responsibilities will span integrating with data providers, managing data lineage, developing data derivation algorithms, implementing parallel processing, establishing automated monitoring and data quality procedures, and refining data warehouse architecture and data modeling.

What you’ll do:

  • Integrate data feeds from various healthcare data providers
  • Collaborate closely with product managers, data scientists, analysts, and engineering colleagues to translate complex business problems into efficient technical solutions
  • Develop and maintain robust batch and streaming pipelines
  • Create tools and processes to facilitate data accessibility across products and data consumers
  • Enhance the maturity of monitoring systems and processes to improve visibility and failure detection within our infrastructure
  • Cultivate expertise on various datasets and tooling within the organization
  • Work alongside privacy & security teams to ensure responsible data governance

What you’ll bring:

  • 3-5 years of experience in data and/or software engineering
  • Demonstrated ability to drive technical projects, prioritize work, identify dependencies, facilitate technical decisions, and engage in cross-functional team discussions
  • Proficiency in SQL and data analysis
  • Experience in system design and data workflow optimization
  • Proficient coding skills in Python, Java, Kotlin, Scala or other relevant languages
  • Experience with ETL orchestration tools like Apache Airflow and Dagster
  • Knowledge of data transformation tools like DBT or dataform
  • Experience with data warehouse DBs (such as BigQuery, Redshift, Snowflake, etc…)
  • Experience in designing and implementing scalable, available, maintainable, and performant systems

Nice to have, but not required

  • Experience in the healthcare data domain
  • Experience with Epic Systems

At Paradigm, we are committed to providing equal employment opportunities to all qualified individuals. We believe in creating a diverse and inclusive workplace that values the contributions of every employee, regardless of their race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law. We are an equal-opportunity employer and do not discriminate against any employee or applicant for employment based on any of the aforementioned factors. We encourage and welcome candidates from diverse backgrounds and perspectives to apply for our open positions. We strive to provide reasonable accommodations to qualified individuals with disabilities and to ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.