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Assistant R Statistical Programmer Jobs in Oklahoma City, OK

Canoo

Senior Design Release Engineer

Oklahoma City, OK · On-site

Job Title Senior Design Release Engineer About Canoo Canoo's mission is to bring EVs to Everyone ... * Assist in the development of detailed DVP&R plans, including statistical confidence intervals

Canoo

Test Engineer - Lab View

Oklahoma City, OK · On-site

Job Title Test Engineer - LabView About Canoo Canoo's mission is to bring EVs to Everyone and build ... of the Position) * Assist in the development of detailed DVP&R plans, including statistical ...

Canoo

Test Engineer - Design

Oklahoma City, OK · On-site

Job Title Test Engineer - Design About Canoo Canoo's mission is to bring EVs to Everyone and build ... racks * Assist in the development of detailed DVP&R plans, including statistical confidence ...

asrcfh

Data Scientist

Oklahoma City, OK · On-site

... to support engineering and management decisions. * Perform statistical analysis, including ... Proficiency in Python, R, SQL, or similar data analysis languages. * Experience using software ...

asrcfh

Data Scientist

Oklahoma City, OK

... to support engineering and management decisions. * Perform statistical analysis, including ... Proficiency in Python, R, SQL, or similar data analysis languages. * Experience using software ...

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All JobsR Statistical Programmer JobsAssistant R Statistical Programmer JobsAssistant R Statistical Programmer Jobs in Oklahoma City, OK

Assistant R Statistical Programmer information

See Oklahoma City, OK salary details

$78.5K

$136.8K

$231.3K

How much do assistant r statistical programmer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for assistant r statistical programmer in Oklahoma City, OK is $136,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $148,600.00 per year, depending on experience, location, and employer.

What is the difference between Assistant R Statistical Programmer vs Data Analyst?

AspectAssistant R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentClinical research, pharmaceutical, or biotech industriesBusiness, marketing, finance, healthcare sectors
CertificationsOften requires a degree in statistics, biostatistics, or related fieldsDegree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common

While both roles involve data analysis and programming skills, the Assistant R Statistical Programmer primarily supports clinical trials and pharmaceutical research, focusing on statistical programming in R. Data Analysts work across various industries analyzing data to inform business decisions. The roles share similar educational backgrounds but differ in industry focus and specific job functions.

What are the most commonly searched types of R Statistical Programmer jobs in Oklahoma City, OK? The most popular types of R Statistical Programmer jobs in Oklahoma City, OK are:
What are popular job titles related to Assistant R Statistical Programmer jobs in Oklahoma City, OK? For Assistant R Statistical Programmer jobs in Oklahoma City, OK, the most frequently searched job titles are:
What job categories do people searching Assistant R Statistical Programmer jobs in Oklahoma City, OK look for? The top searched job categories for Assistant R Statistical Programmer jobs in Oklahoma City, OK are:
Assistant R Statistical Programmer jobs near you

Data Analyst III/II/I

Americanfidelity

Oklahoma City, OK

Full-time

Posted 28 days ago

Job description

* Plan, implement and execute data mining and predictive modeling related projects to which they are assigned to deliver intended business value propositions, on time and within scope according to agreed upon priorities. The Data Analyst is accountable for working collaboratively with Data Navigators and for the successful delivery of all projects under their supervision.

* Assist the Research & Development team, Executive Management, and AFA through the production and maintenance of data and metrics regarding demographics, market trends, behavioral economics, and socioeconomic shifts.

* Drive business value through actionable insight and opportunity identification as facilitated through comprehensive exploratory, interactive, adaptive, and iterative data mining, machine learning, data science, clustering, artificial intelligence (AI), and predictive modeling related analysis which have generally high complexity and/or business risk.

Skills of Ideal Candidate:

1. Advanced knowledge of one or more differing statistical programming languages such as SAS, R or Stata.

2. Ability to develop structure and/or program databases specifically within an MS SQL environment, skilled in the utilization of Structured Query Language (SQL) for interacting with data sets. Understanding of data structures and ability to become proficient in mining data structures and lineage in support of data foot printing and inventory techniques.

3. Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot

4. Skilled in MS Office Suite including MS Access, Excel, PowerPoint, Word and MS SharePoint.

5. Familiarity with the following disciplines

Natural Language Processing: Interaction between computers and humans

Machine Learning: using computers to improve as well as develop algorithms

Conceptual modeling: to be able to share and articulate conceptual approaches to solving business questions/problems

Statistical analysis and Predictive modeling

Hypothesis testing: design hypothesis, document control and test with appropriate modeling and experimentation

6. Ability to query databases and datasets and perform statistical analysis on enterprise-class database systems.

7. Exceptional presentation skills.

8. Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing.

9. Strong negotiation skills.

10.Strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.

11. Exceptional analytical thinking and problem solving skills.

12. Exceptional understanding of business and business strategy.

13.Strongplanning skills.

14. Exceptional organizational skill and ability to work autonomously.

15. Experience using data visualization tools such as QlikSense or Tableau

16. Innovative curiosity

17.Strongknowledge of Data Science

18.Ability to deal with ambiguity

Education Requirements:

Data Analyst III: Actuarial Designationscan substitute for PhD.AFA specific data experience will be considered in lieu of PhD oncase by casebasis

Data Analyst I/II: High school diploma or equivalent

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