Data Scientist/Data Analyst
Description
Job Description:
The Baseline Health Policy and Analysis contract within the Military and Veterans Health Services Operation at Leidos has a need for a Data Scientist/Data Analyst.
The individual selected for this position will work in support of the Defense Health Agency Analytics and Evaluation Division (AED).
This person will support performance-based decision making and execution through analysis, evaluation, data mining, data development, data quality application, and data reporting.
Primary
Responsibilities:
Perform and support data management tasks that deliver a complete view of health care data throughout the enterprise to the analytic community and Military Health System (MHS) leadership.
Develop, apply, update, forecast, and teach Military Health System (MHS) information derived from Defense Health Agency (DHA) policy-driven measures and methodologies.
Assist instructors at various courses for data analysts from all levels of the MHS, ie what data is available to them and how to use the analytic tools provided by the MHS.
It is expected that this individual will eventually become an instructor.
Perform data extraction and analysis, statistical data modeling, and forecasting of MHS data to include direct care admissions and encounters, purchased care healthcare claims, Defense Enrollment Eligibility Reporting System (DEERS), Medical Expense and Performance Reporting System (MEPRS) financial and personnel, and Defense Medical Human Resource System internet (DMHRSi).
This includes healthcare data from legacy CHCS/AHLTA systems and MHS GENESIS.
Develop into SME of data residing in MHS Data Repository (MDR), MHS Mart (M2), and HealtheAnalytics (HeA).
Attendance at and participation in required meetings in support of AED objectives.
KNOWLEDGE AND SKILLS:
Knowledge of:
Data analytical techniques to identify statistical relationships, interpret results, present data and identify recommendations, and working with large datasets/models.
Statistical programs (eg SAS, R, SPSS) to link and integrate datasets and perform analyses.
Healthcare data (Military Health System data a plus) to include institutional, non-institutional, pharmacy, radiology, laboratory, and other healthcare related data.
Standards, principles, theories, concepts, or techniques in the data analytics domain.
Statistical concepts, algorithms, querying and automated processes to extract, model, integrate, and evaluate complex datasets and business problems for practical application.
Skills and abilities to:
Identify and apply appropriate statistical methods to evaluate data.
Extract and analyze data to draw logical conclusions and provide efficient data presentation techniques regarding analysis.
Conduct data reviews, data validation, and data quality actions.
Communicate effectively, orally and in writing, and establish and maintain cooperative working relationships with directors, government customers, AED staff, other data analysts, internal and external collaborators, other technical resources, etc.
Read, understand, and interpret health technical information.
Address somewhat complex data analytical issues/problems, to include large datasets/models, using internal best practice and thorough collaboration with colleagues.
Develop solutions to data analytics problems that require depth of technical knowledge, but are typically limited in complexity.
Work independently on larger, moderately complex projects; may assist other analysts with tasks and assignments.
Manage multiple projects at once and reprioritize projects as necessary.
Basic QualificationsBachelors degree and 2-4 years of prior relevant experience or Masters degree with less than 2 years of prior relevant experienceExperienced SAS, R, Python, or SQL programmingProficient in Business Objects, Tableau, Excel, QlikView, or similar Data Visualization Tools.
Proficient in Microsoft Office products, especially Excel, Word, and PowerPoint, with advanced experience in ExcelAbility to multi-taskExcellent written and verbal communication skillsMust be a US citizen and able to obtain an IT/ADP II Public Trust clearanceDesired QualificationsPrevious experience with Military Health System dataKnowledge of various MHS data repositories, ie DEERS, MEPRS, MDR, M2, HeA (aka MHS GENESIS)Proficient in SAS, R, SQL and/or Python programmingKnowledge of MHS data to include but not limited to CHCS/AHLTA, MHS GENESIS, MEPRS, DEERS, DHMRSi, Purchased Care Institutional and Non-institutional, etc.
Previous or current favorable clearancePay Range:
Pay Range $60,450.
00 - $93,000.
00 - $125,550.
00#Remote.
Estimated Salary: $20 to $28 per hour based on qualifications.
Job Description:
The Baseline Health Policy and Analysis contract within the Military and Veterans Health Services Operation at Leidos has a need for a Data Scientist/Data Analyst.
The individual selected for this position will work in support of the Defense Health Agency Analytics and Evaluation Division (AED).
This person will support performance-based decision making and execution through analysis, evaluation, data mining, data development, data quality application, and data reporting.
Primary
Responsibilities:
Perform and support data management tasks that deliver a complete view of health care data throughout the enterprise to the analytic community and Military Health System (MHS) leadership.
Develop, apply, update, forecast, and teach Military Health System (MHS) information derived from Defense Health Agency (DHA) policy-driven measures and methodologies.
Assist instructors at various courses for data analysts from all levels of the MHS, ie what data is available to them and how to use the analytic tools provided by the MHS.
It is expected that this individual will eventually become an instructor.
Perform data extraction and analysis, statistical data modeling, and forecasting of MHS data to include direct care admissions and encounters, purchased care healthcare claims, Defense Enrollment Eligibility Reporting System (DEERS), Medical Expense and Performance Reporting System (MEPRS) financial and personnel, and Defense Medical Human Resource System internet (DMHRSi).
This includes healthcare data from legacy CHCS/AHLTA systems and MHS GENESIS.
Develop into SME of data residing in MHS Data Repository (MDR), MHS Mart (M2), and HealtheAnalytics (HeA).
Attendance at and participation in required meetings in support of AED objectives.
KNOWLEDGE AND SKILLS:
Knowledge of:
Data analytical techniques to identify statistical relationships, interpret results, present data and identify recommendations, and working with large datasets/models.
Statistical programs (eg SAS, R, SPSS) to link and integrate datasets and perform analyses.
Healthcare data (Military Health System data a plus) to include institutional, non-institutional, pharmacy, radiology, laboratory, and other healthcare related data.
Standards, principles, theories, concepts, or techniques in the data analytics domain.
Statistical concepts, algorithms, querying and automated processes to extract, model, integrate, and evaluate complex datasets and business problems for practical application.
Skills and abilities to:
Identify and apply appropriate statistical methods to evaluate data.
Extract and analyze data to draw logical conclusions and provide efficient data presentation techniques regarding analysis.
Conduct data reviews, data validation, and data quality actions.
Communicate effectively, orally and in writing, and establish and maintain cooperative working relationships with directors, government customers, AED staff, other data analysts, internal and external collaborators, other technical resources, etc.
Read, understand, and interpret health technical information.
Address somewhat complex data analytical issues/problems, to include large datasets/models, using internal best practice and thorough collaboration with colleagues.
Develop solutions to data analytics problems that require depth of technical knowledge, but are typically limited in complexity.
Work independently on larger, moderately complex projects; may assist other analysts with tasks and assignments.
Manage multiple projects at once and reprioritize projects as necessary.
Basic QualificationsBachelors degree and 2-4 years of prior relevant experience or Masters degree with less than 2 years of prior relevant experienceExperienced SAS, R, Python, or SQL programmingProficient in Business Objects, Tableau, Excel, QlikView, or similar Data Visualization Tools.
Proficient in Microsoft Office products, especially Excel, Word, and PowerPoint, with advanced experience in ExcelAbility to multi-taskExcellent written and verbal communication skillsMust be a US citizen and able to obtain an IT/ADP II Public Trust clearanceDesired QualificationsPrevious experience with Military Health System dataKnowledge of various MHS data repositories, ie DEERS, MEPRS, MDR, M2, HeA (aka MHS GENESIS)Proficient in SAS, R, SQL and/or Python programmingKnowledge of MHS data to include but not limited to CHCS/AHLTA, MHS GENESIS, MEPRS, DEERS, DHMRSi, Purchased Care Institutional and Non-institutional, etc.
Previous or current favorable clearancePay Range:
Pay Range $60,450.
00 - $93,000.
00 - $125,550.
00#Remote.
Estimated Salary: $20 to $28 per hour based on qualifications.
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