Data Analyst / Public Health SME

Req ID : RQ171997

Type of Requisition : Regular

Clearance Level Must Be Able to Obtain : None

Job Family : Data Analysis

Skills :

Data Analysis,Data Analytics,Datasets,Statistics

Experience :

3 + years of related experience

Job Description :

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.

Trains / demonstrates new analytics tools and software languages for DHIS / PEB staff. Perform work for review in timely intervals as defined by Health Scientist Coordinator.

Reviews deliverables to ensure time frames and quality standards are met, and then submits 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 spacelikeGitHubforusebyotherswithinPEBandacrosstheagency upon review and acceptance by CDC.

Leadtheanalysisandwritingfor atleastonepeer review publication

Oversee the development of presentations based on his / her analyses and / or the analyses of staff / contractors to be shared with internal partners, CommunityofPractice members, and other partners.

Oversee the development of data visualizations and dashboard showcasing the portfolio of CDH’s managed data sources for sharing with internal and external audiences.

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.

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.

Trains / demonstrates new analytics tools and software languages for DHIS / PEB staff. Perform work for review in timely intervals as defined by Health Scientist Coordinator.

Reviews deliverables to ensure time frames and quality standards are met, and then submits deliverables within established time frames.

Support CDC clearance process for scientific products, which includes reviewing materials produced by others

WHAT YOU’LL NEED :

Bachelors Science in Computer Science or related field, or Masters 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

Other valuable experience : 'BIG DATA'; Data and Systems Analysis, Strong R and Python Experience; Data ETL experience; Workflow / Process Redesign;

Automating Data Pipelines; Mapping SQL Database Tables; Statistical / Predictive Modeling

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 $60,549 - $74,750. 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.

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.

To encourage work / life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.

GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year.

Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees.

To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.

We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.

S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation.

We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI / ML, Cloud, Cyber and application development.

Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day.

We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.

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.