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Biomedical Data Engineer
3 months ago
- Mission to save lives and improve patient care with revolutionary technology that’s already deployed on patients in real-world settings.
- Work with a high-performing and cross-functional team that is empowered to grow, learn, and contribute across all levels of the organization.
- We are a team of passionate builders and boundary-breakers that are on a singular mission to disrupt how patient care is done. We aim to succeed and perform together - as a team and as individuals.
- Gain exposure across the entire technical stack, from novel sensing technologies and proprietary hardware to mobile/web software and ML algorithms.
- Personal career-focused development and training with access to workshops, coursework, and experienced mentors/consultants.
- You will take lead to design scalable and robust data architectures with traceable “single source-of-truth” datasets whilst establishing formal data engineering practices.
- We ingest data from our device and EHRs; you will have to build, maintain and own end-to-end (ingestion, storage, transformation and serving) data pipelines
- When working with clinical data, especially Real World Data (RWD), data quality is of utmost importance. You will have to define and implement quality standards and automated checks for the clinical/biosignal data.
- You get to be the gatekeeper of our data. You have to help different teams make the most of our data by creating secure ways for them to access the data.
- You have to be our data engineering evangelist. You will be responsible for implementing data engineering best practices, tools, and technologies.
- 5+ years hands on data engineering experience
- You have a solid understanding of data engineering lifecycle and are able to reason about the trafeoffs of your decisions in a systematic manner
- You are an expert in either Python or Scala
- You are proficient in manipulating datasets in Pandas, PySpark, and SQL
- You have production-grade software engineering chops
- You have excellent technical communication skills - you get excited about writing documentation
- You are an expert at working with messy healthcare Real World Data (RWD) - EHR (clinical notes, flowsheets, etc) or claims data
- You have experience working with common data models like ODHSI OMOP CDM
- You have a solid understanding of medical coding standards (e.g. HCPCS, ICD9/10, CPT, SNOMED, LOINC, RxNorm and NDC)
- You are experience working with EHR standards like HL7 FHIR
- You are familiar with HIPPA and GDPR
- You have deep understanding of data lakehouses like Snowflake or Databricks - this is a big plus
- You have a good grasp with DevOps and DataOps practices
- You have worked closely with ML teams for model training and model deployment at a production scale
- Introductory Phone Call (~15 Minutes)
- Technical Coding Interview (45-60 Minutes)
- Technical Systems Design Panel Interview (45-60 Minutes)
- Offer Stage