Data Analyst / Public Health SME

Job Description :

If you are interested in applying for this job, please make sure you meet the following requirements as listed below.

Type of Requisition : Regular

Clearance Level Must Currently Possess : None

Clearance Level Must Be Able To Obtain : None

Suitability : Public Trust / Other Required

Job Family : Data Analysis

Skills : Data Analysis, Data Analytics, Datasets, Statistics

Experience : 3 + years of related experience

US Citizenship Required : No

GDIT is looking for a Data Scientist with deep data analytics skills. The candidate needs to be an advanced practitioner of SQL, R, Python and be familiar with working with data in an Azure Cloud environment using DataBricks and other cloud analytics tools.

Supporting CDC in a fast-paced environment that requires the ability to work with big data sets and turn complex analysis around in a few days.

There may be opportunities to support MMWR and other publications.

Responsibilities :

• The candidate will provide high-level expertise to develop study questions and designs; conduct analyses; and interpret findings based on electronic case reporting data and pharmacy, hospital, and healthcare claims data.
• Support use of SAS Viya in quality evaluation.
• Experience in Iqvia, and other public health data sources.
• Co-author and write papers for publications in peer-review journals and reports; present papers / research / findings to the scientific community at professional meetings and conferences.
• Maintain requisite knowledge for managing and analyzing large data sets using Python, SAS, SQL, or R.
• Train / demonstrate new analytics tools and software languages for DHIS / PEB staff.
• Review deliverables to ensure time frames and quality standards are met, and then submit deliverables within established time frames.
• Support CDC clearance process for scientific products, which includes reviewing materials produced by others.
• Draft data analysis plans for ad hoc or standard reports.
• Develop and document Python, SAS, R, or SQL programs, views, and databases.
• Conduct exploratory or study-specific analyses.
• Verify results and validate with other known information sources.
• Summarize and visualize results (for example, develop graphs for dashboards showing data metrics).
• Draft final reports, methodological white papers, or articles for publication.
• Track technical assistance being provided to ensure queries are answered promptly and consistently.
• Produce data extracts and cleaning scripts.
• Develop data management and analysis materials, including graphics to convey analyses.
• Publish analysis and QC scripts to central repository or shared space like GitHub for use by others within PEB and across the agency upon review and acceptance by CDC.
• Lead the analysis and writing for at least one peer review publication.
• Oversee the development of presentations based on analyses to be shared with internal partners, Community of Practice members, and other partners.
• Oversee the development of data visualizations and dashboards showcasing the portfolio of CDH’s managed data sources for sharing with internal and external audiences.

WHAT YOU’LL NEED :

• Bachelor's Science in Computer Science or related field, or Master's in Public Health.
• 4 or more years of data analysis experience, with emphasis on Big Data.
• 3 years of specific data analysis tools : Python, R, SAS, PySpark, Tableau Server, PostgreSQL, SQL, Django, ArcGIS.

Qualifications :

• Mid-level understanding of data analysis including the use of SAS, R, SQL and Python for developing database views and programs.
• Experience with large big data’ datasets.
• Ability to draft data analysis plans.
• Self-sufficient (needs little supervision).
• Sound interpersonal communication, telephone, email and business etiquette.
• Strong attention to detail and organizational skills.
• Experience in facilitating quick turn-around for complex documents.
• Experience in assisting in the preparation of documents for public audiences.
• Experience in the use of MS Teams and Microsoft Office software (i.e., Word; Excel; PowerPoint; Outlook).
• Must have the ability to obtain a National Agency Check with Inquiries (NACI) clearance.

Desired Skills And Experience :

• Previous CDC and or public health experience highly desirable.
• Superior multi-tasking and organization skills. Must manage multiple simultaneous projects and prioritize assignments and tasks accordingly, remaining flexible to changing priorities and new initiatives.

Attributes For Success :

• Demonstrated proactive approaches to problem solving with strong decision-making capabilities.
• Forward-looking thinker, who actively seeks opportunities and proposes solutions.
• Analyze organizational goals and objectives, operating environment and business processes to determine most efficient methods of accomplishing work.

LOCATION : Remote

CLEARANCE : Ability to obtain a Public Trust : candidate must pass a public trust background investigation and meet the residency requirement for having resided in the US for at least (3) three out of the last (5) five years.

GDIT IS YOUR PLACE :

• Full-flex work week to own your priorities at work and at home.
• 401K with company match.
• Comprehensive health and wellness packages.
• Internal mobility team dedicated to helping you own your career.
• Professional growth opportunities including paid education and certifications.
• Cutting-edge technology you can learn from.
• Rest and recharge with paid vacation and holidays.

The likely salary range for this position is $52,000 - $78,000. This is not, however, a guarantee of compensation or salary.

Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours : 40

Travel Required : Less than 10%

Telecommuting Options : Remote

Work Location : Any Location / Remote

GDIT is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

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