Health Data Scientist

Manages large (millions of records) and/or complex datasets. Demonstrates understanding of applied data science fundamentals, such as SQL-based data warehouse concepts and technologies.
Engages in accessing, cleansing, and validating data from multiple data sources. Prepares datasets for statistical analysis using R and/or SAS. 
Translates clinical questions into appropriate queries, ideally in SQL, Python, and/or R. Meticulously performs and documents code for data analysis, visualization, transformation, and modeling.
Conducts ad-hoc quantitative analysis, data mining, and data visualization employing a variety of analytical techniques to provide valuable insight for clinical decision-making.
Creates and updates visualizations using software including Power BI, PowerPoint, and Tableau.
Utilizes statistical methodologies and techniques to conduct hypothesis testing, classification, regression, clustering, feature allocation/selection, and time-series analysis.
Independently summarizes and delivers results of data management and analysis work to research team(s) in readable, presentation-ready reports.

Education
Bachelor’s Degree

Experience
Bachelor’s Degree in related field. Post-graduate professional studies desirable. 

Approximately 5 years’ experience in a quantitative field with published evidence of impact in data science applied to real life problems ideally within a clinical or research environment. 

Approximately 5 years’ experience as a Data Analyst with experience in each of the below areas.

Strong working experience with electronic health records, billing/insurance claim data and programming with SQL, Python, R and/or SAS is required. 

Experience with semi-structured/unstructured data environments, machine learning, and natural language processing (NLP) desired. 

Experience with clinical information systems (e.g., EHRs, computerized order entry) and/or clinical data (e.g., encounters, lab results, medications, diagnoses, procedures, claims) highly desired.

Knowledge of biomedical vocabularies, terminologies, and ontologies (e.g., SNOMED, LOINC, RxNorm, ICD, CPT) preferred.

Experience with i2b2, OMOP CDM, PCORnet or other common healthcare data models a plus.

Experience working with large datasets (millions of records) and PostgreSQL databases beneficial.

Knowledge, Skills and Abilities
Excellent communication skills (both verbal and written).
Strong analytical, problem solving, and organizational skills.
Demonstrated ability to quickly learn and develop proficiency with unfamiliar toolsets.
Experience using Microsoft suite of products including Excel, PowerPoint & OneDrive.

Licenses and Certifications
Working Conditions/Physical Demands
 

Weill Cornell Medicine is a comprehensive academic medical center that is committed to excellence in patient care, scientific discovery, and the education of future physicians and scientists in New York City and around the world. Our doctors and scientists – faculty from Weill Cornell Medical College, Weill Cornell Graduate School of Medical Sciences, and the Weill Cornell Physician Organization – are engaged in world-class clinical care and cutting-edge research that connect patients to the latest treatment innovations and prevention strategies. Located in the heart of the Upper East Side’s scientific corridor, Weill Cornell Medicine’s powerful network of collaborators extends to its parent university Cornell University; to Qatar, where an international campus offers a U.S. medical degree; and to programs in Tanzania, Haiti, Brazil, Austria and Turkey. Our medical practices serve communities throughout New York City, and our faculty provide comprehensive care at NewYork-Presbyterian Hospital/Weill Cornell Medical Center, NewYork-Presbyterian/Lower Manhattan Hospital, NewYork-Presbyterian Hospital/Brooklyn Methodist Hospital, NewYork-Presbyterian Hospital/Westchester Behavioral Health Center, and NewYork-Presbyterian/Queens. At Weill Cornell Medicine, we work together to treat each individual, not just their conditions or illnesses, as we strive to deliver the finest possible care for our patients – the center of everything we do. Weill Cornell Medicine is an Equal Employment Opportunity Employer. Weill Cornell Medicine provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.