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Assistant R Statistical Programmer Jobs in Florida

Clarity Innovations

Data Scientist

Tampa, FL · On-site

... complex data, assist the command with development initiatives, and facilitate digital ... They must combine an advanced math and statistics background with programming, domain knowledge ...

Arthrex

Quality Engineering, Manufacturing

Ave Maria, FL · On-site

$64.70K - $83.60K/yr

Work with suppliers to improve quality, and assist, where necessary, in supplier process ... Lead or support Metrology with Measurement System Analysis (Gage R&R) studies. * Create Inspection ...

ARTHREX

Quality Engineering, Manufacturing

Ave Maria, FL

$64.70K - $83.60K/yr

Work with suppliers to improve quality, and assist, where necessary, in supplier process ... Lead or support Metrology with Measurement System Analysis (Gage R&R) studies. * Create Inspection ...

atrion

Quality Engineer

Davie, FL · On-site

$66K - $85.20K/yr

Uses statistical tools to analyze data, make acceptance decisions, and improve process capability ... Gage R&R studies. * Develop and maintain risk management files and quality control plans for ...

Danaher

Quality Engineering Manager

Pensacola, FL · On-site

Provide quality engineering leadership with expertise in ISO 13485 compliance, statistical sampling strategies, gage R&R, validation (IQ/OQ/PQ), cleanroom environments, and DOE to support riskbased ...

Danaher

Quality Engineering Manager

Pensacola, FL · On-site

Provide quality engineering leadership with expertise in ISO 13485 compliance, statistical sampling strategies, gage R&R, validation (IQ/OQ/PQ), cleanroom environments, and DOE to support risk-based ...

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Assistant R Statistical Programmer information

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.

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Assistant R Statistical Programmer jobs near you
Infographic showing various Assistant R Statistical Programmer job openings in Florida as of May 2026, with employment types broken down into 5% As Needed, 74% Full Time, 15% Part Time, and 6% Contract. Highlights an 35% Physical, 18% Hybrid, and 47% Remote job distribution.
Data Scientist

Data Scientist

Clarity Innovations

Tampa, FL • On-site

Other

Posted 21 days ago

Job description

 
Role
This role is for a  Data Scientist on a close-knit team supporting a U.S. Special Operations Command program at MacDill AFB. This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization.
 
Responsibilities

A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline.  In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning. 
Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization.  They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.

The Data Scientist shall perform the following tasks:
   Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
   Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
   Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
   Coordinate with Data Engineers to build Data environments providing data identified by other data professionals
   Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities. 
   Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
   Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. 
   Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. 
   Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. 
   Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
   Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.

Requirements
  • A minimum of 1 year of hands-on Data Science experience is required.
  • Bachelor's Degree in a STEM field is required.
  • Proficient with one or more programming languages (Java, C++, Python, R, etc.)
  • Proficient in Agile Development and Git operations 
  • A Top Secret Clearance with SCI eligibility is required 
  • Demonstrated ability to work in a fast-paced environment with evolving requirements
Preferred Qualifications
  • Familiarity with DoD
  • Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. 

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