R Programmer Resume Samples

Description :

1. Drove innovation and increased the maturity of frameworks, integrations, and automations.
2. Supported less experienced team members with R development.
3. Conducted analysis of clinical trial data using R combined, manipulated, transformed, and summarized data.
4. Created and validated R packages.
5. Created process around package development and validation.
6. Helped lead the R implementation process.
7. Created and/or validated clinical study outputs and requirements consistent with data definitions, specifications, and relevant study documentation (protocol, SAP, aCRF).

Experience

0-2 Years

Level

Entry Level

Education

Master’s degree in Engineering

Description :

1. Identified problems and developed tools that increased the efficiency and capacity of the Statistical Programming group.
2. Developed and executed analytics solutions according to the client's needs.
3. Built data processing systems in collaboration with various teams.
4. Wrote efficient, high-quality code for advanced data analysis, manipulation, and modeling.
5. Troubleshot problems to ensure that the system functioned properly.
6. Assessed, interpreted, and communicated data insights to assist businesses in making rational choices.
7. Carried out unit, functional, and integration testing.

Experience

10+ Years

Level

Senior

Education

Master’s degree in Engineering

Description :

1. Created new models and refactored existing ones using R.
2. Developed, deployed, and incorporated APIs.
3. Implemented coding standards and advanced guidelines to ensure R programming efficiency.
4. Created R interface documentation and specifications.
5. Created and developed statistical models using R.
6. Developed and deployed predictive models using R to enhance business decision-making processes.
7. Integrated R with data source and delivery systems.

Experience

7-10 Years

Level

Management

Education

Master’s degree in Engineering

Description :

1. Created high-quality documentation and presentations.
2. Ensured and implemented coding standards.
3. Maintained efficient and effective R programming.
4. Supported the development of unambiguous and robust programming specifications for programming work.
5. Identified opportunities for increased efficiency and consistency within Inference.
6. Contributed to globalization, improvement, and standardization of processes, standards, and tools.
7. Provided programming support within multiple studies/projects in various study activities with timely and high-quality programming deliverables in assigned tasks and projects.

Experience

7-10 Years

Level

Management

Education

Master’s degree in Computer Science

Description :

1. Demonstrated company values by demonstrating excellence, competence, collaboration, innovation, respect, ownership, and accountability.
2. Participated in cross-functional collaborations to support the study conduct and reporting activities.
3. Created and maintained the programming specification and other documentation in accordance with SOPs/Guidance/WI/process to ensure traceability and regulatory compliance.
4. Understood the scope of work, estimated the timelines and communicated to the study team and/or management.
5. Implemented cohort selection, variable derivation, data management, and analyses, producing results using SAS, R, or another of the programming languages specified above, with little or no supervision.
6. Conducted validation and review of programs developed by other programmers in the team.
7. Independently handled client communication around cohort selection and variable definitions.

Experience

7-10 Years

Level

Consultant

Education

Master’s degree in Computer Science

Description :

1. Acted as the main point of contact on client calls and presented findings when requested.
2. Provided a critical review of budgeted hours for Data Analysts for project planning purposes.
3. Reviewed and assisted in the review of protocol or statistical analyses plan and table shells, as well as the planning of the programming phase of the study.
4. Conducted all programming work per RWE Good Programming Practices and QA/QC practices.
5. Managed assignments to meet timelines and deliver high-quality work, being familiar with any relevant contractual obligations or limits.
6. Worked closely with cross-functional teams to develop data processing systems.
7. Designed, developed, and deployed analytics solutions to meet client requirements.

Experience

2-5 Years

Level

Executive

Education

Bachelor's degree in Information Technology

Description :

1. Performed advanced data analysis, data manipulation, and data modeling.
2. Identified and troubleshot programming bottlenecks.
3. Ensured smooth performance of the systems.
4. Created and conducted unit testing as well as performance and integration testing.
5. Developed new data models and refactored existing codebases using the R language.
6. Created and maintained documentation and specifications for R interfaces.
7. Designed and developed R-based applications and programs to analyze data and generate insightful reports.

Experience

0-2 Years

Level

Junior

Education

Bachelor's degree in Information Technology

Description :

1. Collaborated with cross-functional teams to understand data requirements and design appropriate analytical solutions.
2. Utilized statistical techniques and machine learning algorithms to identify patterns and trends in the data.
3. Cleaned and preprocessed data to ensure accuracy and quality of analysis.
4. Created visualizations and dashboards to effectively present findings to stakeholders.
5. Optimized and fine-tuned existing R scripts to improve performance and efficiency.
6. Stayed up-to-date with the latest developments in R programming and related technologies.
7. Provided support and guidance to team members on R programming best practices.

Experience

7-10 Years

Level

Consultant

Education

Bachelor's Degree in Computer Science

Description :

1. Responsible for the design, development, and implementation of technical solutions for integrating, analyzing, and reporting clinical data.
2. Generated meaningful graphical outputs as per the technical requirements.
3. Worked with technical leads to collect specifications for application requirements, understanding and implementing them in R shiny application development.
4. Wrote clean, reproducible, and testable codes on MBMA (Model-Based Meta Analysis) datasets.
5. Conducted time series analysis and forecasting to predict sales trends, improving inventory management.
6. Generated automated summary reports and graphical outputs for the datasets at different stratification levels.
7. Developed and maintained robust R scripts for data cleaning, transformation, and analysis that reduced data processing time.

Experience

7-10 Years

Level

Management

Education

Bachelor's degree in Information Technology

Description :

1. Designed and deployed interactive dashboards using R shiny for real-time data visualization, significantly improving user engagement.
2. Collaborated with cross-functional teams to define data collection standards and methods, leading to an improvement in data quality and reduction in errors.
3. Conducted advanced statistical analyses that contributed to strategic decision-making by identifying key trends and patterns.
4. Assisted in developing R-based solutions for automated data cleaning and analysis, enhancing project turnaround time.
5. Utilized ggplot2 for creating insightful, publication-quality graphs and charts.
6. Participated in the upgrade and debugging of legacy R code, improving system efficiency and reliability.
7. Supported senior analysts in large-scale data projects, gaining valuable insights into complex data analysis and management.

Experience

7-10 Years

Level

Management

Education

Bachelor's degree in Information Technology