Full-Time Staff Data Engineer
Job Description
Join us as we rebuild the clinical research model: it’s time for a new PARADIGM in healthcare and drug development.
We envision a world where clinical trials become an accessible care option for all patients, everywhere. We are building a tech-enabled ecosystem to tackle inefficiencies in the current clinical research model. Our goal is to accelerate trials for sponsors, alleviate burden for providers, and create equitable access for patients.
Our mission-driven group is dedicated to keeping the patient at the core of our work as we shift the healthcare landscape. We’re positioned to create lasting change in a system ready to be reimagined and, meaningfully impact patient lives.
You are someone who is proud of your diverse background, expertise, and perspectives, and you’re ready to use that experience to help us reimagine the clinical research model. You will work with experts in clinical trial operations, product development, software engineering & data science, drug development, and healthcare.
Join us and bring your expertise, passion, creativity and drive as we work together to increase access for all patients anywhere and make a difference in healthcare globally.
The data engineering team is building Paradigm’s 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.
ML & Data Science teams will use data for optimizing and developing new classification models. Data Scientists and Analysts for defining better patient matching heuristics, answering trial & research site feasibility queries, and ultimately surface insights for clinical trial opportunities.
We work with application consumer teams to optimize data for our Clinical Trial Matching workflows (matching patients to potential trials) and Study Conduct (capturing study data once a trial has started).
As a Staff Engineer on the Data team, you’ll partner closely with product and data consumers to improve the breadth, quality and completeness of our data. You’ll be responsible for foundational technical architecture, technical roadmap, data modeling, and prioritizing data access to our overall product goals. You’ll drive many of our tooling, system design and ETL architecture decisions. You’ll also mentor and guide the growth of engineers on your team.
How you’ll lead
- Continuous improvement mindset and mentorship for your engineering team
- Partner closely with product managers, data scientists and analysts, and engineering colleagues to distill complex business problems into elegant technical solutions
- Craft the engineering vision and own the toolchain for our data platform
- 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
- Become a subject matter expert on our different datasets and tooling
- Work with privacy & security to ensure we govern data responsibly
What you’ll bring
- You have experience driving technical projects, prioritizing work, identifying dependencies, facilitating technical decisions and cross-functional team discussions
- Depth of expertise in SQL and data analysis skills
- System design and data workflow optimization
- Coding in Python or other languages
- Experience with ETL orchestration tools like Apache Airflow and Dagster
- Data transformation tools like dbt or dataform
- Experience with data warehouse DBs (such as BigQuery, Redshift, Snowflake, etc…)
- Experience designing and implementing systems that are scalable, available, maintainable, and performant
- 8+ years of experience in data engineering
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.
How to Apply
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