- Support a major federal agency client in the improvement of clinical data quality and health information exchange with Community Care health partners.
- Identify, propose, create and implement data queries on existing Clinical data sets, perform analysis, develop quality metrics, and suggest process improvements.
- Produce data analytic visuals and reports to communicate clinical data analysis results.
- Ability to present and defend the analytical reports, including assumptions used and recommendations, to individuals in a wide variety of healthcare roles, such as clinicians, informaticists, healthcare exchange networks, and business decision makers.
- Ability to interface with clinical data quality/data analysts and project team personnel and the client's Program Office team and create clear data analysis reports effectively and efficiently.
- Identify and research concerns and problem areas.
- Involved in the development of Quality Assurance (QA) metrics, sampling strategies, and analyses.
- Maintain workload metrics on analytic activities.
- Ensure project documentation is accessibility compliant.
- Communicate and work as cohesive team member, who can discuss and educate team members on new analytic metrics and studies.
- Must have the skills and expertise to support data science tools (Databricks, Spark, Jupyter, R, Machine Learning, SAS) to produce statistical tables, reports and data analysis of healthcare data.
- Provide expertise in machine learning and artificial intelligence including cloud-based tools.
- Provide expertise in bioinformatics and data science programming languages (e.g., R, Python, Perl).
- Provide expertise in Bioinformatics and development of genomics workflows (E.g. Nextflow Tower)
- Provide cloud-based data science support including:
- Cloud-based SQL and non-SQL server, which may include databases such as SQL Server as a service, Data Lake technology, such as Databricks Delta Lake, and Data Warehousing ii. iii.
- Object-oriented design principles and patterns and be able to apply those principles in designing object-oriented code and architectures. MS Azure Delta Lake, Databricks, Kubernetes, and other cloud-based analytics tools within Azure and AWS where appropriate Develop and utilize statistical and analytical procedures for producing reports and performing data engineering, wrangling, exploration, and usage for qualitative, statistical, biological, and geospatial data formats.
- Provide trend analysis to make informed decisions regarding resource management. i. Assist in the planning, review, and reporting of data/statistical results of program/project studies.
- Provide expertise in the design of schemas / data structures and the use of unified modeling language (UML) to define data relationships. Implement correlation and regression analysis (linear, logistic, log linear) techniques, time series and principles based on time series analysis. Use an assortment of sampling methodologies.
- Able to multitask and handle multiple priorities with a calm, positive attitude, and professional manner.
- Ability to communicate effectively in written and verbal form.
- Demonstrated ability to be self-starter and be able to work with all types of personnel with a professional attitude.
- Excellent time management, organizational, and multi-tasking skills.
- Must be a technically savvy, highly self-motivated and independent worker.
- Highly developed soft skills / people skills and a positive attitude.
- Virtual meeting software experience such as MS Teams is required.
- A bachelor's degree or an associate degree plus 2 years relevant experience, or 4 years relevant experience required in Information Systems, Computer Science, Nursing, Medicine, Public Health, Medical Informatics, Statistics or other relevant clinical discipline is required.
- 6 - 8 years' experience.
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Healthcare Data Analyst Sr - Atlanta, United States - JP Systems, Inc.
Description
Job Description
Job DescriptionSalary: $74k - $92kJoin our JPSys team and make a difference in the future of global healthcare
J P Systems provides professional services in support of the CDC. Be part of a project team influencing the future of Public Health data management by helping us to analyze and improve workflows across the Federal Government. Our mission is to standardize, manage and improve the usability of clinical data for Public Health.
Data Science and Bioinformatics Team - Healthcare Data Analyst Sr.
Responsibilities of the Healthcare Data Analyst Sr. may include:
Project Requirements:
Skills and Qualifications:
Educational Requirements:
Although we are 100% virtual, you must be located in one of our hiring states of AL, AZ, CO, FL, GA, IA, IL, MD, MI, MN, ND, PA, TX, VA, or WI.
Must have high speed internet connection.
Relocation: Not paid
J P Systems does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Please note that our pay ranges are carefully researched and set based on the requirements of the position. The salary range is displayed under Compensation for each position. If you feel you qualify for a more senior level position than the ones advertised, please feel free to instead submit your resume from our Open Jobs webpage for consideration.
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