Research Data Analyst 2
Situated in Stanford's highly dynamic research environment, the Stanford PEDSnet team seeks a Bioinformatician/Research Data Analyst 2 to manage and analyze clinical data (i.e. electronic health records, administrative claims data, etc.) under the direction of the PEDSnet leadership team in conjunction with the Stanford SoM Research IT team. The Bioinformatician/Research Analyst will perform a variety of research related activities, including but not limited to technical requirements preparation, data management, and formal report preparation. The Bioinformatician/Research Data Analyst will partner with researchers and clinicians to enable effective and efficient use of the PEDSnet Common Data Model, PCORnet Common Data Model, and/or OMOP/OHDSI databases along with their respective cohort query tools and interfaces. This individual will help researchers and clinical staff maximize their understanding, interpretation and use of these clinical and research tools for more informed and productive research, clinical trials, patient care and quality outcome projects. Specific responsibilities are listed below.
- Develop processes to measure and ensure quality, completeness and integrity of research data assets, including data/metadata documentation, data model specification and documentation of ontologies and terminologies to maximize utilization of data
- Work closely with the Hospital Epic teams to understand the Clarity Data Model, Caboodle Data Model, other ancillary systems and registries that will enrich the research ready datasets.
- Develop ETL (extract, transform, load) specifications to go from raw data to research ready datasets. Work closely with the engineering team on production implementation of the ETLs and methods. Establish and refine the process for final analysis and validation before dataset publication. Run QA metrics as needed.
- Support and implement ETL specifications and quarterly refreshes to the latest common data model (CDM) version; perform ETL updates necessary for CDM expansion
- Execute site-level queries as part of PEDSnet or PCORnet network and participate in data working groups to discuss data model updates and changes.
- Employ new and existing tools to interpret, analyze, and visualize relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
- Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
- Develop reports, charts, graphs, and tables for use by investigators and for publication and presentation.
- Collaborate with faculty and research staff on data collection and analysis methods.
- Represent team on national research projects and grants through presentation of papers, participation in phone calls, working groups and other venues. Assist with grant proposals.
- Identify best practices in the community and help to shape and implement policies that enhance data quality, compliance and customer support.
- Identify and deploy methods to notate data quality for enhanced research reproducibility.
- Provide recommendations and observations to leadership regarding strategies to improve user satisfaction and increase efficiencies. Lead efforts to develop needs requirements for new data sources, improvements for software tools and other clinical database services.
- Provides training to team members and users as appropriate.
- Other duties as assigned
Ideal person for this position is an individual with deep knowledge of clinical data, quality analysis and validation methodologies; and strong interpersonal skills needed to work collaboratively with technical and non-technical stakeholders within and outside the Stanford research community, including faculty, researchers, clinicians, hospital administrators, engineering teams, IT staff and research coordinators.
The Bioinformatician/Research Data Analyst will work closely with Research IT
, other key Stanford School of Medicine teams (Research Informatics Center
, Quantitative Sciences Unit
, Stanford Research Computing Center
), Stanford Children's Health teams to develop high quality coherent research-ready biomedical datasets. This individual will be responsible for continuous evaluation of the health of these datasets and enterprise tools used by the research community and for developing new analytical methods supporting novel research. DESIRED QUALIFICATIONS:
EDUCATION & EXPERIENCE (REQUIRED):
- MS or PhD in Bioinformatics, Data Science, Biostatistics, Epidemiology, or a related field
- 2+ years of experience performing database management and data analysis in research analyses and visualization work in a healthcare research or clinical setting, or other related experience
- Experience with Electronic Health Records e.g., Clarity Data Model, Caboodle Data Model
- Experience with common data models like OMOP or PEDSNet or PCORNet
- Experience with ontologies, terminologies, UMLS, or Semantic Web
- Ability to mine and analyze complex structured and unstructured data sets
- Experience working in academic and/or research environments.
- Familiarity with regulatory requirements such as Institutional Review Board (IRB), and HIPAA. Knowledge of regulatory and data privacy issues.
- Fluency in SQL, Python and R.
- Self-motivated with a demonstrated ability to work independently, and to exercise independent judgment in developing solutions to complex problems.
- Good interpersonal and communication skills to interact with technical and non-technical stakeholders.
Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
CERTIFICATIONS & LICENSES:
- Substantial experience with MS Office and analytical programs.
- Excellent writing and analytical skills.
- Ability to prioritize workload.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.WORKING CONDITIONS:
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
- Occasionally use a telephone.
- Rarely writing by hand.
Work may be performed in an office setting or remotely
School of Medicine, Stanford, California, United States
To be considered for this position please visit our web site and apply on line at the following link: stanfordcareers.stanford.edu
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
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