Overview
Remote
USD 67,600.00 - 122,200.00 per year
Full Time
Skills
Attention To Detail
Data Science
Change Data Capture
Public Health
Project Implementation
Security Clearance
Natural Language Processing
Machine Learning (ML)
Predictive Modelling
Testing
Database
Algorithms
Dashboard
Analytics
Big Data
Analytical Skill
Mathematics
Statistics
Biostatistics
Bioinformatics
SAS
Budget
Job Details
Leidos is seeking an experienced Data Analyst to fulfill the National Center for Emerging Zoonotic and Respiratory (NCEZID) requirement for a self-motivated and detail-oriented scientific Data Analyst to provide effective and innovative data science solutions in Atlanta, GA. Provides programmatic and scientific support to CDC subject matter experts and members of CDC. Identify and analyze public health issues and their impact on public policies or scientific studies or surveys. Analyze study or project implementation procedures for improvement.
Position is fully remote. Candidate MUST BE LOCATED IN THE UNITED STATES AND HAVE BEEN IN THE UNITED STATES FOR THE CURRENT THREE CONSECUTIVE YEARS to meet clearance requirement.
Ability to obtain Public Trust level 5 clearance is required.
Primary Responsibilities
Designs and develops methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including "big data" sources Develops and uses advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets and models complex business problems Is familiar with disciplines such as Natural Language Processing, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing Works with cross-discipline teams in order to ensure connectivity between various databases and systems Identifies meaningful insights and interprets and communicates findings and recommendations May develop information tools, algorithms, dashboards, and queries to monitor and improve business performance Maintains awareness of emerging analytics and big-data technologies and Perform other analytical and data related duties, as needed. Participates, as requested, in special studies or projects.
Basic Qualifications
BS degree in Mathematics, Statistics, Biostatistics or Bioinformatics or Master's degree in related field.
2 years of Statistical programming experience using SAS, or SAS Viya. Must be able to work independently, with minimal direction.
program budget of 70-80K
At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now."
If you're already scheming step 20 while everyone else is still debating step 2... good. You'll fit right in.
Original Posting:
August 19, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $67,600.00 - $122,200.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Position is fully remote. Candidate MUST BE LOCATED IN THE UNITED STATES AND HAVE BEEN IN THE UNITED STATES FOR THE CURRENT THREE CONSECUTIVE YEARS to meet clearance requirement.
Ability to obtain Public Trust level 5 clearance is required.
Primary Responsibilities
Designs and develops methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including "big data" sources Develops and uses advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets and models complex business problems Is familiar with disciplines such as Natural Language Processing, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing Works with cross-discipline teams in order to ensure connectivity between various databases and systems Identifies meaningful insights and interprets and communicates findings and recommendations May develop information tools, algorithms, dashboards, and queries to monitor and improve business performance Maintains awareness of emerging analytics and big-data technologies and Perform other analytical and data related duties, as needed. Participates, as requested, in special studies or projects.
Basic Qualifications
BS degree in Mathematics, Statistics, Biostatistics or Bioinformatics or Master's degree in related field.
2 years of Statistical programming experience using SAS, or SAS Viya. Must be able to work independently, with minimal direction.
program budget of 70-80K
At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now."
If you're already scheming step 20 while everyone else is still debating step 2... good. You'll fit right in.
Original Posting:
August 19, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $67,600.00 - $122,200.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.