University of Texas Southwestern Medical Center: Public academic medical center providing healthcare and biomedical research.
PhD-prepared investigator with experience in epidemiology and large complex databases, skilled in causal inference methods, able to develop an independently funded research program in stroke/cardiovascular diseases.
Bryan or Austin or Dallas or El Paso or Fort Worth or Houston or Laredo or San Antonio
HybridFull Time
Texas A&M Transportation Institute: Conducts transportation research and develops infrastructure safety solutions.
PhD in relevant field; strong quantitative skills with statistical programming (R or Python), causal inference, spatial analysis, stakeholder engagement, and project coordination for multi-country research.
University of Texas Southwestern Medical Center: Public academic medical center providing healthcare and biomedical research.
Experience analyzing large EHR datasets, strong quantitative training in biostatistics/bioinformatics/causal inference/health economics, proficiency with R and SQL; familiarity with Epic Cosmos preferred; CV required.
Electronic Health Record (EHR), Epic Cosmos, R, SQL
Manager, Advanced Data Analytics - Mobile Analytics
Malvern or Charlotte or Dallas or Fort Worth or Scottsdale
HybridFull Time
Vanguard: Provides mutual funds, ETFs, and investment management services.
8+ YOE8+ years in analytics/data science with hands-on analytics and people leadership; proficiency in SQL, Python, AWS, Tableau; experimentation and causal ML experience; strong stakeholder and executive communication skills.
Lockheed MartinNYSE: LMT: Designs and manufactures global security and aerospace systems.
Bachelor's in engineering or science required, ability to obtain DOD Secret clearance, QMS knowledge, MS Office proficiency, ability to interpret SOW/drawings/specs, causal analysis, and non-conformance dispositioning.
Microsoft Word, Microsoft Excel, Microsoft PowerPoint
Publicis GroupeEuronext Paris: PUB: Global advertising and digital transformation agency holding.
7+ YOE7–9 years in data science/analytics within an agency, consulting, or technology environment; strong statistical modeling, machine learning, causal inference; SQL/Python/R; MMM/attribution; cloud (GCP); leadership and client advisory.
Lockheed MartinNYSE: LMT: Designs and manufactures global security and aerospace systems.
STEM bachelor\u0002level or equivalent experience; ability to obtain DOD Secret clearance; understanding of QMS and quality engineering across lifecycles; Microsoft Office proficiency; experience with SOW/drawings/specs, causal analysis, non-conformance disposition, and configuration/data management.
Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Earned Value Management Systems, Geometric Dimensioning and Tolerancing (GD&T)