Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Our platform enhances trial efficiency and reduces the barriers to participation for healthcare providers. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster.
Requirements
- You bring experience building data pipelines and working with ETL systems (DBT, Airflow, Dagster, or similar).
- You are proficient in SQL and have worked with a data warehouse system (we use Databricks).
- You have experience programming in Python and a compiled language like Java.
- You’ve worked with big data technologies such as Kafka and Spark.
- You understand data pipelines and how to design them for reliability and scale.
- Bonus: experience with healthcare data formats such as HL7 or FHIR.
Responsibilities
- Designs and implements solutions using best practices, drives architecture decisions for their team.
- Build and support robust batch and streaming pipelines
- Build tools and processes to make data accessible across products and data consumers
- Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure
- Production readiness - handle a moderate size release, know what it means to monitor it and communicate it.
- Understand the product area you are working with, and how it is used in context of the overall product.
- Partner with our customer teams to develop engineering plans to implement our health system partners
Other
- Typically, candidates in this role have 5+ years of relevant experience, but we welcome applicants with equivalent skills and impact.
- Flexible work options – remote and hybrid arrangements
- At Paradigm, we are committed to providing equal employment opportunities to all qualified individuals.
- We encourage and welcome candidates from all backgrounds and perspectives to apply for our open positions.
- We are interested in all qualified individuals and ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.
