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PATHOLOGISTS' ASSISTANT I - 10029282
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Anywhere, USAPrize Drawing
DATA ANALYTICS ENGINEER - 10029579
Remote, USCity of Hope is an independent biomedical research and treatment center for cancer, diabetes and other life-threatening diseases.
Founded in 1913, City of Hope is a leader in bone marrow transplantation and immunotherapy such as CAR T cell therapy. City of Hope’s translational research and personalized treatment protocols advance care throughout the world. Human synthetic insulin, monoclonal antibodies and numerous breakthrough cancer drugs are based on technology developed at the institution. AccessHope™, a wholly owned subsidiary, was launched in 2019 and is dedicated to serving employers and their health care partners by providing access to City of Hope’s exceptional cancer expertise.
A National Cancer Institute-designated comprehensive cancer center and a founding member of the National Comprehensive Cancer Network, City of Hope is ranked among the nation’s “Best Hospitals” in cancer by U.S. News & World Report and received Magnet Recognition from the American Nurses Credentialing Center. Its main campus is located near Los Angeles, with additional locations throughout Southern California and in Arizona.
Join the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today.
** This is a Fully Remote Opportunity within the United States**
As a successful candidate, you will:
This position requires a blend of data science and analytics engineering skills. The fundamental role of the Analytics Engineer is to develop and maintain reusable data products that provide accurate data and reports to other teams. They will also be responsible for transforming, testing, deploying, and documenting data processes within our team. In addition, they will spend another portion of their time on data analyst/scientist tasks, using advanced analytical, statistical, and machine learning techniques to answer business and clinical questions. The candidate will use common programming languages (SQL, R, Python) to extract data from multiple sources and then create insight and summaries.
- Building data models in the data warehouse using dbt to support team’s needs, consolidate data sources, and establish a self-service reporting platform
- Work with Enterprise Data Warehouse team to integrate new data sources into the data warehouse as needed using Python or other EL scripting tools
- Building data pipelines with a variety of tools
- Interacts directly with the appropriate staff members (e.g., physicians, clinical technicians, department managers, project sponsors and various other members of the organization) to obtain and document business and/or technical requirements. Assists other department staff members as necessary
- Migration and automation of legacy reporting tools to a new platform focused on creating a unified data model in the data warehouse
Skills & Technologies:
- SQL
- Data warehouse/ETL tooling such as dbt, Airflow/Prefect, Python, and Snowflake
- Tableau (our current visualization tool) or related BI tool
- Attention to detail and willingness to learn a variety of analytics and reporting tools
- Strong problem-solving and communication skills are required for success.
- Self-motivated.
- Familiarity using a scripting language to manipulate data, Python strongly preferred
Bonus Experience:
- Experience developing and maintaining custom data pipelines with Python Advanced analytical, statistical, and machine learning techniques. Experience performing data analysis or building machine-learning models using decision trees, boosting, etc.
- Experience developing unified data models in dbt
- Healthcare data experience
- Moving from Microsoft SQL Server to Azure Cloud
- Tableau or Similar BI Tool
- Modeling data and Scripting
Your qualifications should include:
- Undergraduate degree
- 3 years of related experience
- Experience SQL Server, Python and/or other scripting languages
City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.
City of Hope is an equal opportunity employer.
To learn more about our Comprehensive Benefits, please CLICK HERE.