Start Date
Immediate
Expiry Date
20 Nov, 25
Salary
67600.0
Posted On
20 Aug, 25
Experience
2 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Sas, Biostatistics, Mathematics, It, Code, Statistics, Bioinformatics, Caffeine
Industry
Information Technology/IT
Job #: R-00164989
Location: Remote, US
Category: Statistician
Schedule (FT/PT): Full Time
Travel Required: Yes, 10% of the time
Shift: Day
Remote Type: Remote
Clearance: Public Trust
External Referral Program: Ineligible
Sector: Health & Civil
Description
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.
BASIC QUALIFICATIONS
BS degree in Mathematics, Statistics, Biostatistics or Bioinformatics and 2 years of prior relevant experience or Master’s degree in related field.
Statistical programming experience using SAS, or SAS Viya. Must be able to work independently, with minimal direction.
Come break things (in a good way). Then build them smarter.
We’re the tech company everyone calls when things get weird. We don’t wear capes (they’re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for “how it’s always been done.”
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.