Sas Developer

Sas Developer Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Sas Developer 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
  • SAS Programming
  • CDISC Standards
  • SAS
  • SDTM
  • SAS Base
  • Clinical Trials
  • SAS Certified Base Programmer
  •  Find out what your resume's missing
  • Clinical Data Management
  • CRO Management
  • SQL
  • Good Clinical Practice (GCP)
  • Statistical Programming
  • Biostatistics
  • Data Management
  • Clinical Development
  • Statistics
  • Pharmaceutics
  • Validation
  • Clinical Research
  • Databases

  •   Show full list

Resume Skills: Programming

Resume Skills: Statistical Toolkits

Resume Skills: Data Management Tools

Resume Skills: Data Analysis Techniques

  • Hypothesis Testing
  • Regression Analysis
  • Survival Analysis
  • Data Mining
  • Predictive Modeling
  • Machine Learning
  • Descriptive and Inferential Statistics
  • Controlled Trial Analysis
  • Linear Regression
  • Generalized Linear Models
  • Bioequivalence Studies
  •  Match your resume to these skills

Resume Skills: Other Software & Tools

Resume Skills: Big Data Tools

Resume Skills: Databases

Resume Skills: Operating Systems

Resume Skills: Software Development Tools

Resume Skills: Data Visualization Tools

Resume Skills: Regulations & Standards

  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 Sas Developer 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 Sas Developer 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.

Select a free resume example
Your Name
Sas Developer
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded January 2021 - Present
Senior Sas Developer
Led a programming team in developing a robust clinical trial database, reducing data inconsistencies by 30%
Managed complex data validation processes using CDISC Standards and SAS Certified Base Programmer skills, increasing data processing speed by 20%
Devised a SAS Base program that automated repetitive tasks, saving the company 10 hours a week
Oversaw the integration of SQL with SAS, enhancing the quality of clinical data management
Used Good Clinical Practice (GCP) principles in managing and overseeing Clinical Development boosting the company’s compliance ratings.
Resume Worded January 2022 - Present
Senior SAS Developer
Conceptualized and integrated SAS, optimizing the database design, which substantially improved data integrity and decreased retrieval time by 35%
Led a team in the successful transition to CDISC Standards resulting in over 40% improvement in Clinical Data Management
Implemented CRO Management software to streamline clinical development, reducing data processing time by 20%
Developed an efficient clinical data validation plan expanding Good Clinical Practice by adapting SDTM methodologies, producing an error reduction of 28%
Finished strategic project involving SQL and SAS base, leading to an increase in database security by 30% May 2019 - December 2020
SAS Developer
Implemented SDTM standards for data structuring, which streamlined clinical trial data management
Enhanced Statistical Programming performance through optimization of SAS code, resulting in 15% increase in efficiency
Systematized Biostatistics data handling using SAS, leading to an accuracy improvement of 25%
PharmaGen June 2018 - December 2021
SAS Developer
Deployed SAS Certified Base Programmer knowledge to automate 70% of the reporting processes, reducing labor hours by 120 per week
Managed and conducted clinical trials following CDISC standards, reduced data discrepancies by 25%
Introduced a robust data management system leading to 50% better control over data quality and consistency
Performed Biostatistics analysis on drug development data, contributing to a faster drug approval process by 3 months
Eli Lilly and Company January 2018 - April 2019
Junior SAS Developer
Used SAS programming to analyze clinical trials data, supporting the reporting of more accurate results
Managed databases efficiently and saved 5 hours a week through automation of routine tasks using SAS Base
Assisted in maintaining adherence to Good Clinical Practice (GCP) during Clinical Research, reducing compliance issues by 20% January 2016 - May 2018
Junior SAS Developer
Assessed clinical research data and carried out statistical programming that enhanced data quality by 15%
Implemented new data tracking procedure in databases to improve data retrieval efficiency by 20%
Handled pharmaceutics data, making strategic recommendations that improved product quality by 10%
Resume Worded Institute May 2019
Master's in Data Science and AI
Specialization in Statistical Analysis System (SAS) Development
Resume Worded University May 2017
Bachelor of Science in Information Technology
Minors in Data Warehousing and Cybersecurity
Dean's List 2016 and 2017
Programming: SAS, Python (pandas, numpy), R, SQL, Java, C/C++
Big Data Tools: Hadoop, Spark, Hive, Tableau, SSIS, SSRS
Databases: Oracle, MS SQL Server, MySQL, PostgreSQL
Operating Systems: Windows, macOS, Linux (Ubuntu, CentOS)
Certifications: Base SAS Certification - SAS Institute, Certified Information Systems Security Professional (CISSP) - ISC2
Projects: Developed and implemented a client-data handling system improving data analysis speed by 30%
Leadership & Volunteering: Mentor - Girls Who Code, Member of the organizing committee - annual Tech4Good conference
Your Name
Biostatistics Analyst
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE January 2021 - Present
Senior Biostatistics Analyst
Implemented Clinical Data Management strategies using SAS programming, leading to a 15% increase in data quality scores
Supervised a team working on clinical trials data, trained them in CDISC Standards and SDTM application, boosting team's productivity by 20%
Established robust data validation processes through SAS Certified Base Programmer skills reducing errors by 25%
Managed major Clinical Development projects adhering to Good Clinical Practice (GCP), noted for remarkable timelines adherence in 4 successive projects
Resume Worded May 2018 - December 2020
Biostatistics Analyst
Developed SAS Base scripts for automating routine Statistical Programming tasks, enhancing work efficiency by 15%
Championed the use of SQL in data management, achieving a 10% improvement in data handling times
Leveraged Biostatistics expertise in reinforcing the Clinical Research process, noted for improving data quality by 20%
Pfizer Inc. January 2017 - April 2018
Assistant Biostatistics Analyst
Used SAS programming for data validation, improved speed of process by 10%
Gained practical exposure to SDTM standards in managing clinical trials data
Supported Clinical Development projects following GCP principles, contributing to higher compliance success
Resume Worded University December 2016
Master of Science in Biostatistics
Specialization in Clinical Trials
Dean's List 2015 (Top 10%)
Resume Worded Institute May 2014
Bachelor of Science in Mathematics
Minors in Biology and Computer Science
Awards: Resume Worded Academic Excellence Award (only 10 awarded to class)
Statistical Programming: R, Python (Numpy, Pandas), MATLAB, SAS, STATA
Data Visualization Tools: Tableau, PowerBI, R Shiny, Matplotlib
Databases: SQL, PostgreSQL, MongoDB, Oracle Database
Data Analysis Techniques: Hypothesis Testing, Regression Analysis, Survival Analysis, Data Mining, Predictive Modeling, Machine Learning
Certifications: Certified Expert in Biostatistics by HarvardX (2020), Advanced Course in Machine Learning and Signal Processing by IBM (2019)
Publications & Conferences: Presented at the International Conference on Health Metrics and Evaluation (2021), Published research in the American Journal of Epidemiology (2018)
Professional Affiliations: Member of the American Statistical Association, Member of the International Biometric Society
Your Name
Statistical Programmer
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded February 2021 - Present
Lead Statistical Programmer
Harnessed SAS Base and SQL for Clinical Data Management, resulting in 15% improved data integrity
Eliminated process redundancies through SAS programming, resulting in a cost-saving of 20% annually
Implemented Good Clinical Practice (GCP) in Clinical Development projects, achieving 100% audit compliance in 2021
Managed a team of 5 programmers, mentoring them in CDISC Standards and SDTM application, increasing the team efficiency by 25%
Streamlined data validation through SAS Certified Base Programmer expertise, reducing data inconsistencies by 30% June 2018 - January 2021
Senior Statistical Programmer
Utilized SAS and SQL for efficient Clinical Trials data analysis, boosting the accuracy of reports by 20%
Adhered to GCP standards in Clinical Research, reducing regulatory flags by 15%
Created automation scripts using SAS Base, saving the company 10 hours per week
Novartis AG January 2017 - May 2018
Statistical Programmer
Contributed to Clinical Data Management by efficiently using SAS programming, recognized for improving data quality
Supported the creation of a Clinical Development project using GCP principles
Implemented new data validation procedures using SAS programs, decreasing errors by 10%
Resume Worded University December 2016
Master of Science in Statistics
Specialized in modern statistical modelling techniques
Recipient of the University Excellence Scholarship (Top 5% among 200 students)
Resume Worded Institute May 2015
Bachelor of Science in Computer Science and Statistics
Graduated with First-Class Honors
Analyzed and interpreted complex data sets for final year project
Programming Languages: SAS, SQL, Python, R, Java, C++
Statistical Toolkits: Matlab, Stata, SPSS, Tableau, RapidMiner, XLMiner
Software Development Tools: Eclipse, GIT, Subversion, BitBucket, JIRA, Confluence
Database Management Systems: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB
Certifications: Certified Statistical Programmer from SAS Institute (2021)
Courses: Completed Advanced Courses in Machine Learning, Data Science, AI from Resume Worded Academic Center
Awards: Winner of the ‘Innovation in Data Science’ award at in 2020
Projects: Developed an AI-powered statistical trends analysis application as a side-project
Your Name
Clinical SAS Programmer
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded February 2022 - Present
Senior Clinical SAS Programmer
Led the programming and development of a large-scale clinical trial database using SAS, resulting in an efficient logistics management and streamlined regulatory documentation process
Implemented SAS data management processes adhering to CDISC Standards, increase data reliability by 40%
Successfully initiated GCP guidelines, improving clinical outcome reliability by 30%
Developed and executed clinical trials, which led to product approval 6 months ahead of schedule
Optimized clinical development initiatives by 20% by overseeing and managing multiple CROs
Globix Pharma April 2018 - January 2022
Clinical SAS Programmer
Utilized statistical programming to reduce error rate in clinical data analysis by 35%
Performed high-quality data validation, reducing disparity and improving accuracy by 25%
Improved data management system with SQL, program efficiency increased by 20%
Helped in faster drug discovery process by analyzing and offering insights on biostatistics data November 2015 - March 2018
Junior Clinical SAS Programmer
Adopted SDTM methodologies, ensuring 50% better standardization of clinical data
Conducted data quality checks, improving data accuracy by 10%
Implemented automated database procedures using SAS Base, saving around 50 hours of manual work per week
Resume Worded Academic Center January 2022
Advanced Certification in Clinical SAS Programming
Acquired thorough understanding of programming with SAS including how to analyze data, create standardized reports, working with macros and handling errors
Resume Worded University May 2015
Master of Science - Biostatistics
Thesis: Application of Statistical Methodologies in Clinical Trials
Minored in Computer Science focusing on Programming Languages
Programming Languages: SAS, Python, SQL, R, C++, Java
Statistical Analysis & Reporting: Descriptive and Inferential Statistics, Controlled Trial Analysis, Linear Regression, Generalized Linear Models, Survival Analysis, Bioequivalence Studies
Data Management Tools: SQL, MS Access, Oracle Clinical, MS Excel Advanced, CDASH
Regulations & Standards: ICH-GCP, CDISC ADaM, SAS Macro, SDTM
Certifications: Base Programming for SAS®9 Certified, Advanced Programming for SAS®9 Certified
Professional Development: Attended 'Innovations in Clinical Research' Conference, 2020 & 2021
Projects: Developed an efficient SAS-based workforce prediction model for HR team, resulted in 15% labor cost savings over 12 months
Volunteering: Data Analytics Volunteer - Doctors Without Borders, 2020-present, developed data visualization dashboards for decision-making
Your Name
Biostatistical Programmer
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded March 2022 - Present
Senior Biostatistical Programmer
Integrated advanced SAS programming with CDISC and SDTM guidelines leading to a 30% increase in the data processing efficiency
Piloted a team using SQL to modernize traditional databases, enhancing data security by 25%
Managed Clinical Trial protocols, achieving a 15% reduction in project completion time
Upgraded clinical data validation process, contributing to a 20% improvement in data accuracy
Installed process controls, reducing GCP related queries from clinical trial sites by 20%
CellTherapy Inc. June 2018 -February 2022
Biostatistical Programmer
Maximized team productivity using SAS Certified Base Programming, completing tasks 50% faster
Initiated CRO management tactics to maximize resources and manpower, increasing efficiency by 30%
Streamlined data management protocol leading to a trimmed down version of the database, reducing data redundancy by 20% January 2016 - May 2018
Junior Biostatistical Programmer
Executed statistical programming to process large datasets, reducing processing time by 10%
Managed pharmacovigilance data, assisting in early identification and resolution of potential issues in clinical trials
Assisted in implementing improved data management tactics by 20% using Good Clinical Practice principles
Resume Worded University May 2016
Master of Science in Biostatistics
Specialization in statistical programming and data analysis
Resume Worded Academic Center January 2016
Certification in Statistical Analysis System (SAS)
Part-time certification concurrently completed with work at
Programming Languages: SAS, R, Python, SQL, Java, C++
Statistical Software: STATA, SPSS, Epi Info, OpenBUGS, WinBUGS
Database Management Systems: Oracle, MS Access, PostgreSQL, MySQL
Other Software & Tools: Microsoft Excel (Advanced), MATLAB, Tableau, Git
Certifications: Certified Professional in Biostatistics (CPB) - American Statistical Association
Projects: Led a data programming project analyzing genetic patterns for CellTherapy Inc., leading to a significant contribution to a scholarly article published in the Journal of Biostatistics
Award: Received 'Outstanding Programmer Award' for significant contribution in statistical programming at Resume Worded (2022)
Volunteering: Volunteer Data Analyst for NGO Health Watch, providing insights to help prioritize healthcare initiatives

How do I add skills to a Sas Developer resume?

Review the job posting closely.

Go through the Sas Developer posting you're applying to, and identify hard skills the company is looking for. For example, skills like SDTM, SAS Programming and SAS Certified Base Programmer are possible skills. These are skills you should try to include on your resume.

Add industry skills like SAS Base and Clinical Trials.

Add other common skills from your industry - such as SAS, Clinical Data Management and CDISC Standards - into your resume if they're relevant.

Add skills into your work experience.

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

Use the exact job title.

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

Word Cloud for Sas Developer Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Sas Developer 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 Sas Developer Skills and Keywords to Include On Your Resume

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Sas Developer Resume Templates

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Frequently Asked Questions

What skills should you put on a Sas Developer resume?

Here are some of the most popular skills we see on Sas Developer resumes:

  • SAS Programming
  • CDISC Standards
  • SAS
  • SDTM
  • SAS Base
  • Clinical Trials
  • SAS Certified Base Programmer
  • Clinical Data Management

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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