Data Coordinator II Liver Transplant Research
Share
Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
The Data Coordinator II extracts data and generates highly complex reports as required. The Data Coordinator ensures the accuracy of the data and acts as a resource to all users of the database.
We are seeking a Data Coordinator/Quality Specialist to own the ingestion harmonization and ongoing quality control (QC) of consortium data. Working within Mount Sinais high-performance computing environment you will curate retrospective datasets and build automated QC pipelines for prospective data entering the cloud-based PUMP platform. You will be involved in delivering clean analysis-ready datasets that meet HIPAA and GDPR standards setting the foundation for downstream biostatistics machine-learning and clinical insights.
Responsibilities
- Data Curation & Harmonization: map and reconcile variable definitions from multiple centers; maintain detailed data dictionaries and change logs
- Quality Control: design and run QC checks for completeness plausibility range and cross-field consistency in both retrospective and incoming prospective data
- Pipeline Development: write reproducible ETL/QC scripts (primarily in R tidyverse Bash optional Python/SQL) that schedule on Minvera and produce versioned documented outputs
- Regulatory Compliance: implement de-identification rule and auditing procedures that satisfy HIPAA (US) and GDPR (EU/UK) requirements; collaborate with the IRB and Privacy Office
- Documentation & SOPs: draft standard operating procedures data handling manuals and QC dashboards for consortium sites
- Collaboration & Support: serve as the data liaison to transplant surgeons; research coordinators and biostatisticians; provide occasional data access troubleshooting but no primary analytic duties
- Collects data and generates highly complex reports as required including internal reporting as requested by management. Prepares and submits reports to regulatory agencies or accrediting agencies. Reports are submitted timely and accurately according to current standards and regulations.
- Assists in developing tools for data collection.
- Maintains knowledge of the current regulations and technologies related to data management. Disseminates relevant information to all concerned parties.
- Reviews and audits database on a regular basis to ensure accuracy of data. Makes corrections and additions to database records as required.
- Implements solutions for any data management issues. May develop training tools and update procedure manuals.
- Assist in the design or design basic databases or custom applications to ensure the database meets the needs of all levels of staff.
- Trains staff with varying degrees of knowledge to effectively use the database system. Acts as a resource to all database users in order to assure consistency and accuracy of data.
- Assists staff with technical issues related to the database.
- Uses in-depth knowledge of the database to extract data and generate required reports and queries for statistical analyses in varying formats as requested. Implements changes to reports as required by regulatory and/or accrediting agencies.
- Updates database as required and acts as a liaison with IT with any more complex technical issues or software updates.
- Oversees data entry staff and other less experienced Data Coordinators.
- May access data in the Data Warehouse.
- Performs other duties as required.
Qualifications
- Bachelors degree and 3 years of database experience required. (Masters and 1 year experience)
Preferred:
- Experience with data management/quality assurance/experience data cleaning or clinical research informatics
- Proficiency in R (tidyverse) and Bash scripting within Linux/Unix environments
- Demonstrated experience writing reproducible ETL or QC code for large heterogenous datasets
- Familiarity with privacy regulations governing health data (HIPAA GDPR) and best practices for de-identification and secure transfer
- Excellent written documentation skills and the ability to communicate data issues clearly to both technical and clinical audiences
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled ... View more
