Statistical Programmer

Statistical Programmer Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Statistical Programmer job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • CDISC Standards
  • SDTM
  • SAS Programming
  • SAS
  • Clinical Trials
  • Statistical Programming
  • CRO Management
  •  Find out what your resume's missing
  • Biostatistics
  • Good Clinical Practice (GCP)
  • Clinical Data Management
  • Clinical Development
  • Oncology
  • Data Management
  • Electronic Data Capture (EDC)
  • SAS Base
  • Statistics
  • Clinical Research
  • R (Programming Language)
  • Validation
  • Pharmaceutics

  •   Show full list

Resume Skills: Programming

Resume Skills: Software

Resume Skills: Statistical Toolkits

Resume Skills: Database Management Systems

Resume Skills: Data Analysis

Resume Skills: Machine Learning

Resume Skills: Statistical Analysis

Resume Skills: Data Visualization

  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Statistical Programmer Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Statistical Programmer Resume Examples: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Choose a template
Your Name
Statistical Programmer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded August 2019 - Present
Senior Statistical Programmer
Led a team of 5 to conceptualize, build, and validate statistical models in SAS Base, increasing overall team productivity by 35%.
Successfully developed, validated, and deployed 20+ clinical statistical algorithms for clinical development, optimizing workflow efficiency by 40%.
Extensively utilized CDISC standards and SDTM to enhance data quality, reducing inconsistencies by 60%.
Engaged in proactive management of CRO, effectively reducing outsourcing costs by 25%.
Implemented robust procedures for data management and electronic data capture (EDC), strengthening clinical data security by ensuring 99.9% protocol compliance.
Pfizer January 2017 - July 2019
Statistical Programmer
Utilized SAS programming to develop and debug 12+ complex statistical models, enhancing the accuracy of clinical research.
Effectively used R programming to perform statistical testing on clinical trial data, supporting the oncology department's research initiatives.
Developed robust validation processes, improving data quality by 50%.
Trained 15+ staff in Good Clinical Practice (GCP), increasing the department's compliance rate by 40%.
Coached.com March 2014 - December 2016
Junior Statistician
Assisted in data management of clinical trials, reducing data inconsistency by 30%.
Applied statistical theories and methods to solve practical problems in biostatistics, enhancing the completeness of pharmaceutical data.
Actively participated in the management of clinical research data in compliance with regulatory standards.
Contributed to the development of the clinical data management system, leveraging advanced statistical programming methods.
Bayer June 2013 - February 2014
Intern - Statistics
Supported the development of statistical software and the performing of statistical analysis for clinical trials.
Aided in design and data collection stages, ensuring that they meet data quality standards.
EDUCATION
Resume Worded Institute May 2016
Master of Statistics
Received the Institute's Distinguished Graduate Award
Resume Worded University May 2014
Bachelor of Science in Mathematics
Minors in Computer Science and Data Analysis
Awarded Merit Scholarship for excellent academic performance
SKILLS
Data Analysis: Linear models, Dimension Reduction, Statistical Simulation, Bootstrapping, Hypothesis Testing
Programming Languages: R, SAS, Python, MATLAB, Java
Software: SPSS, STATA, Excel, SQL Server
Machine Learning: Random Forests, Decision Trees, Support Vector Machines, Gradient Boosting
OTHER
Certifications: SAS Certified Base Programmer, Certified Specialist: Base Programming Using SAS 9.4
Volunteering: Coding Coach for Girls Who Code, Volunteer Data Analyst for Local Non-Profit Organization
Publications: Peer-reviewed publication: Effectiveness of Predictive Modelling in Pharmaceutical Research
Your Name
Clinical Statistical Programmer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded February 2020 - Present
Lead Clinical Statistical Programmer
Directed a team of 6 in the development and use of clinical trial databases, using SAS programming to streamline data collection and reduce errors by 30%.
Supervised all facets of clinical data management, significantly reducing data discrepancies by 35%.
Developed SOPs for creating and validating clinical databases, leading to an increase in efficiency in data collection by 25%.
Enhanced the company’s pharmaceutics projects by integrating the principles of biostatistics, increasing project success rate by 20%.
Managed CRO partnerships, successfully reducing outsourcing costs by 20%.
Amgen March 2017 - January 2020
Clinical Statistical Programmer
Devised and utilized SAS programs to validate clinical data against defined protocol, resulting in a 40% reduction in data inconsistencies.
Utilized R programming for complex statistical analysis, accelerating successful clinical trial outcomes by 20%.
Implemented Good Clinical Practice (GCP) guidelines, increasing the team's compliance rate by 30%.
Provided essential support to the oncology department by producing insightful statistical findings.
Coached.com June 2014 - February 2017
Research Associate, Biostatistics
Applied clinical development methodologies to evaluate and interpret study data, thereby improving the efficiency of data management by 20%
Perform advanced statistical programming using SAS and R, which helped with comprehensive data analysis.
Conducted thorough quality check of data outputs and support materials, resulting in a 15% decrease in errors.
Genentech January 2013 - May 2014
Intern - Biostatistics
Assisted with the management of clinical trial data, reducing inconsistencies by 10%
Supported the design and data collection stages by ensuring compliance with data quality standards.
EDUCATION
Resume Worded University December 2016
Master of Science - Biostatistics
Thesis: Applying Advanced Statistical Models in Clinical Research
Resume Worded Academic Center May 2014
Bachelor of Science - Mathematics and Programming
Minors in Computational Biology and Bioinformatics
Awards: Dean's List 2012 - 2014 (Top 5%)
SKILLS
Programming: SAS, SQL, R, Python, Java, Perl
Statistical Analysis: Linear Regression, Logistic Regression, Survival Analysis, Mixed Effects Models, Neural Networks, Decision Trees
Data Visualization: Tableau, Power Bi, ggplot2, Matplotlib, Seaborn, D3.js
Software: CDISC Standards (ADaM, SDTM), GitHub, JIRA, Confluence, MS Office
OTHER
Certifications: Advanced Programming for SAS 9 Certification, Certified Clinical Data Manager (CCDM®)
Volunteering: Project Lead - Health Data Analysis, DataKind (2020 - Present)
Projects: Developed proprietary statistical analysis tool for streamlined data interpretation in clinical trials
Your Name
SAS Programmer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded October 2018 - Present
Principal SAS Programmer
Managed and mentored a team of 8 in SAS programming, increasing team productivity by 50%.
Applied clinical development strategies to streamline data accuracy and validation, improving data quality by 40%.
Collaborated with cross-functional teams on the utilization of CDISC standards and SDTM, improving data consistency by 35%
Managed CRO relationships to streamline procedures, saving 20% on outsourcing costs.
Implemented guidelines for EDC system, enhancing data security and reliability.
AstraZeneca April 2016 - September 2018
Senior SAS Programmer
Developed sophisticated algorithms in SAS for the analysis of clinical trial data
Leveraged SDTM guidelines to structure datasets, reducing discrepancies by 25%
Established efficient validation processes to ensure data reliability, improving data quality by 30%.
Applied principles of biostatistics and pharmaceutics to support various projects, resulting in a 15% increase in success rates.
Coached.com February 2014 - March 2016
Associate SAS Programmer
Applied statistical models to clinical trial data, reducing data gaps by 20%
Implemented Good Clinical Practice (GCP) guidelines, ensuring regulatory compliance across the team
Contributed to clinical data management by using SAS programming to analyze and interpret data.
Novartis June 2013 - January 2014
Intern - Biostatistics
Supported the design and data collection stages by ensuring compliance with data quality standards.
Assisted with the management of clinical trial data, reducing inconsistencies by 10%.
EDUCATION
Resume Worded University December 2013
Master of Science in Computer Science
Specialization in Data Analysis and Visualization
Resume Worded Academic Center October 2011
Certified Advanced Programmer for SAS 9
Completed with distinction, recognized for exemplary project execution and innovative problem solving
SKILLS

How do I add skills to a Statistical Programmer resume?

1
Review the job posting closely.

Go through the Statistical Programmer posting you're applying to, and identify hard skills the company is looking for. For example, skills like Biostatistics, SDTM and Clinical Trials are possible skills. These are skills you should try to include on your resume.

2
Add industry skills like CDISC Standards and SAS.

Add other common skills from your industry - such as SAS Programming, CRO Management and Statistical Programming - into your resume if they're relevant.

3
Add skills into your work experience.

Incorporate skills - like Clinical Research, Validation and Statistics - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

4
Highlight any software engineering or development experience.

Programming and software development are common skill sets for Statistical Programmer roles, so try to highlight related accomplishments in your summary, work experience or skills sections.

5
Highlight data science skill sets.

Dealing with large data sets, cleaning them and uncovering business insights are important skill sets for a Statistical Programmer.

6
Use the exact job title.

Try to add the exact job title, Statistical Programmer, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Statistical Programmer Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Statistical Programmer job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Statistical Programmer Skills and Keywords to Include On Your Resume

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Statistical Programmer Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

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Frequently Asked Questions

What skills should you add to a Statistical Programmer resume?

Here are some of the most popular skills we see on Statistical Programmer resumes:

  • CDISC Standards
  • SDTM
  • SAS Programming
  • SAS
  • Clinical Trials
  • Statistical Programming
  • CRO Management
  • Biostatistics

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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