*Senior Data Scientist

Required Education: Bachelor's degree in related field, AND:

• 60 months experience Data Science, Predictive, or Advanced Analytics or related experience.

Equivalency/Substitution: Will accept 48 months of experience in lieu of the Bachelor's degree for a total of 108 months of related experience.

Skills:

• Advanced knowledge of the use of data visualization tools
• Advanced knowledge of data querying languages, and statistical or mathematical software
• Advanced knowledge writing algorithms, and knowing when to apply them
• Advanced knowledge of statistics, multi/variable calculus, and linear algebra
• Ability to communicate verbally and in writing
• Ability to lead other team members
• Ability to work independently and as a team member

Certifications\: None

Working Conditions:

• Physical:
  • Sits for prolonged periods of time. 
  • Ability to engage in repetitive motion. 
  • Manual dexterity. 
  • Communicate effectively.
• Environmental:

  • Standard Office Work Environment.

     

Why You Belong at the University of Oklahoma: The University of Oklahoma values our community's unique talents, perspectives, and experiences. At OU, we aspire to harness our innovation, creativity, and collaboration for the advancement of people everywhere. You Belong Here!

Equal Employment Opportunity Statement\: The University, in compliance with all applicable federal and state laws and regulations, does not discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes but is not limited to admissions, employment, housing, financial aid, and educational services.

The Zimmerman lab at OU Health Campus is broadly focused on understanding the function of monocytes and tissue resident macrophages in mouse models of polycystic kidney disease (PKD), acute kidney injury (AKI), and heart failure with preserved ejection fraction (HFpEF) using state-of-the-art techniques including single cell RNA sequencing (scRNAseq) and spatial transcriptomics. Using omics’ approaches, we have defined how disease sequalae alters macrophage phenotype in mouse models and developed monocyte/macrophage specific knockout mice to test the functional importance of predicted cytokines in vivo. We have also set our sights on understanding how omics data from human patients cross-references across model systems including mice, rat, and organoids using deep learning approaches.

Duties:

• Addresses data analytics challenges, collects large volumes of data from varying sources, cleans and interprets data, creates solutions to overcome challenges, and communicates with interested parties.
• Meets with team members regarding projects.
• Collects and interprets data.
• Automates and integrates processes.
• Researches solutions to overcome data analytics challenges.
• Develops complex mathematical models that integrate business rules and requirements.
• Creates machine learning models.
• Communicates and meets with engineers, IT teams, and other interested parties.
• Share complex ideas verbally and visually in an understandable manner with non-technical stakeholders.
• Performs other duties as needed to successfully fulfill the functions of the position.