Job Description
Who We Are Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.
Description As a Staff Clinical Informaticist, you will have the opportunity to apply your expertise in informatics and data architecture to solve complex healthcare challenges. Contributes to the process of ingesting, modeling and curating multi-sourced healthcare data. This role will be crucial as Verily advances personalized chronic condition management and develops registries to accelerate real world evidence generation.
Responsibilities - Transform healthcare data into FHIR-compliant representations, ensuring instantiated resources adhere to the appropriate profiles and internal standards.
- Design and operationalize data harmonization and enrichment strategies to standardize clinical data from diverse sources, including electronic health records (EHRs), HIEs, and other healthcare information sources.
- Apply established data standards (e.g., HL7 v2, CCDA, FHIR, ICD-10, SNOMED CT, LOINC) to ensure data consistency and interoperability.
- Implement data quality rules and processes to ensure data accuracy.
- Develop clear and concise documentation that effectively communicates data design requirements to engineering teams and stakeholders with varying levels of technical expertise.
Qualifications Minimum Qualifications
- Bachelor's degree in Computer Science, Mathematics or medical related field and Master's degree in Clinical Informatics.
- Minimum of 10 years experience working as a clinical informaticist, data architect or data integration engineer in Healthcare or Life Sciences industries.
- Demonstrated proficiency in healthcare knowledge standards, controlled terminologies (including SNOMED, LOINC, and RxNorm), standard data models (such as FHIR, OMOP, etc), and healthcare interoperability standards like HL7, NCPDP, and CCD-A.
- Strong skills related to SQL, Python, R, dbt, ETL tooling and Jupyter Notebook. In addition experience with cloud computing platforms and using version control systems (e.g., Git) and collaborative development tools.
Preferred Qualifications
- PhD in Clinical Informatics, MD or PharmD.
- Previous experience developing informatics solutions to support Oncology patient care or clinical research.
- Knowledge of clinical practice and research. An understanding of operating procedures and workflows within a hospital or ambulatory setting.
- General knowledge of Artificial Intelligence (AI) components and techniques.
Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States. The US base salary range for this full-time position is $162,000 - $230,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
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Job Tags
Full time,