Staff Data Engineer, Atropos Health
$145-180k
More information about location
Real-world evidence for clinical decision making
Open for applications
Real-world evidence for clinical decision making
21-100 employees
Open for applications
$145-180k
More information about location
21-100 employees
Company mission
To solve the Evidence Gap that has hampered effective clinical decision-making.
Role
Who you are
- Bachelor’s Degree (Required), Master’s Degree (Preferred) or commensurate experience
- At least 5 years of experience working with messy real-world healthcare data (EHR data, claims) and experience with Real World Data / Evidence at least 3 years
- Expertise working with common data models and terminology systems in healthcare data (data models and standards such as FHIR, OMOP, codesets like ICD 9/10, CPT, ATC, RxNorm, NDC, etc.)
- Knowledge of common EHR and medical claim / administrative workflows and the basics of the US healthcare system (patient movement through a hospital or clinic, how medical procedures are reimbursed, etc.)
- SQL (any dialect): at least 5 years, Python at least 4 years (Required)
- Significant and deep experience as a data professional working with public cloud infrastructure to build data products (Required)
- Knowledge of EHR data systems and at least 4 years of experience working intensively with EHR data in a data engineering and/or analytics environment
- High level knowledge of ETL/ELT operations and data modeling
What the job involves
- You will build and refine the foundations for a robust Data Engineering team at Atropos Health, turning healthcare data into information.
- You will own healthcare data product delivery with analysis, cleaning, and transformation of large datasets and the creation of new tools to ensure quality and consistency of data.
- You will nurture strong relationships with commercial, medical, and data science stakeholders and deliver products and projects as part of a growing Series B startup.
- Your expert knowledge of healthcare data standards and terminology will help create world-class clinical data products and help Atropos deliver insights and knowledge to our customers
- Create and maintain data pipelines to integrate, enrich, and map clinical, claims, and other data from multiple sources in the cloud
- Design systems of data quality checks and assessments on clinical datasets
- Expert knowledge of how to automate workflows and create reusable infrastructure in multiple public cloud environments (AWS, Azure, GCP)
- Map data from one source into a common data model using many different frameworks, with a particular focus on PySpark and Spark SQL
- Create, maintain, tune, and document data flows in Databricks and Snowflake, Bigquery, and other diverse cloud tools
- Filter, clean, transform, and integrate clinical data using your domain expertise of healthcare data and code systems and embedded knowledge
- Work remotely with an interdisciplinary team and build and maintain strong relationships with research, clinical, product, and commercial stakeholders
- Manage external customer, vendors, and customer relationships and create internal and external communications
- Travel required to company or team offsites 3-4 weeks per year
- The Senior Data Engineer reports directly to the Senior Director of Data Engineering, Philip Ballentine. Data Engineering is part of the Engineering organization
Our take
Spun out from a project developed at Stanford University, Atropos Health was founded to improve the use of generative AI in medical and research decision-making. The company’s software offers on-demand evidence and real-world data to improve evidence collation, elevating clinical trial outcomes.
The use of generative AI for medical purposes is in an exciting place at the moment, and Atropos Health is at the forefront of its evolution. The company’s Geneva Operating System is an original AI system and natural language processor that makes publication-quality clinical data accessible to those without technical skills, and at low cost.
Impressively, the company claims to provide query results in minutes rather than the traditional timeline of 2 to 6 months, hugely speeding up the research process. The power of its operating system is backed by the company’s substantial funding rounds, which will be used to expand operations and grow its portfolio of gen-AI products.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
May 2024
$33m
SERIES B
Aug 2022
$14m
SERIES A
Total funding: $47m
Company benefits
- Health & Wellness - Our benefit package includes employer paid Medical, Dental, Vision, Life, STD, and LTD insurance
- Parental Leave - We offer up to twelve weeks of paid leave for new parents who have been at the company for 6+ months
- Financial Wellness - Save for retirement through our 401k plan with Human Interest
- Flexible Work Environment - We're a remote first company with a flexible vacation policy
- Offsites - As a remote company we take time 2-3 times a year to get together in small teams and all together as a company
Company HQ
Palo Alto, CA
Leadership
Brigham Hyde
(Co-Founder & CEO)Currently a Venture Partner at Audere Capital. Previously a Special Advisor at EVERSANA, was an Official Member of Forbes Technology Council, and worked as a Research Affiliate at MIT.
Nigam Shah
(Co-Founder)Currently Chief Data Scientist at Stanford Health Care, as well as Head of Medicine at Stanford University School of Medicine. Previously interned in Research at IBM.
Saurabh Gombar
(Co-Founder &Chief Medical Officer)Currently Clinical Instructor at Stanford Health Care. Previously studied a PhD at Albert Einstein College of Medicine, founded Alpha Abacus and was a Software Engineer at Ericsson.
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