Biostatistician

Biostatistician Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Biostatistician 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
  • Biostatistics
  • SAS
  • SAS Programming
  • Clinical Trials
  • Statistics
  • Statistical Modeling
  • R (Programming Language)
  •  Find out what your resume's missing
  • Survival Analysis
  • Epidemiology
  • Statistical Programming
  • Clinical Research
  • CDISC Standards
  • Clinical Study Design
  • CRO Management
  • Good Clinical Practice (GCP)
  • Clinical Development
  • Stata
  • Statistical Analysis Plans
  • Data Analysis
  • Public Health

  •   Show full list

Resume Skills: Statistical Software

Resume Skills: Analysis

  • Hypothesis Testing
  • Regression Analysis
  • Survival Analysis
  • Mixed Models
  • Multivariate Analysis
  • Logistic regression
  • Multilevel models
  • Machine Learning
  •  Match your resume to these skills

Resume Skills: Data Analysis & Methods

Resume Skills: Data Management

Resume Skills: Other Tools

Resume Skills: Statistical Methods

Resume Skills: Other

Resume Skills: Data Visualization Tools

Resume Skills: Design of experiment

Resume Skills: Languages

  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 Biostatistician 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 Biostatistician 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
Biostatistician
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded January 2021 - Present
Lead Biostatistician
Conducted deep statistical analyses for pivotal clinical trials, leading to successful filing of three New Drug Applications.
Directed cross-functional team in adopting CDISC standards, enhancing data management efficiency by 45%.
Developed robust statistical analysis plans, contributing to the acceleration of clinical development lifecycle by 30%.
Leveraged expertise in R programming language and SAS programming to automate data cleaning processes, saving around 10 hours per week.
Spearheaded biostatistics training program for junior analysts, uplifting team productivity by 20%.
Pfizer April 2015 - December 2020
Senior Biostatistician
Applied cutting-edge statistical modeling techniques, contributing to the successful completion of 10+ clinical trials.
Designed and managed multiple studies following Good Clinical Practice (GCP), improving study integrity and reducing protocol deviations by 60%.
Implemented effective CRO management strategy, leading to a cost savings of 2 million dollars annually.
EDUCATION
Resume Worded Academic Center January 2015
Doctor of Philosophy (PhD) - Biostatistics
Thesis: 'Advanced Predictive Modeling in Biomedical Research'
Resume Worded University June 2010
Master of Science (MSc) - Statistics
Specialized in Bioinformatics
Graduated with honors
SKILLS
Statistical Software: SAS, Stata, SPSS, Minitab, R, Python
Data Visualization Tools: Tableau, Power BI, ggplot2, Shiny
Data Management: SQL, Oracle, Access, Excel, RedCap
Analysis Skills: Hypothesis Testing, Regression Analysis, Survival Analysis, Mixed Models, Multivariate Analysis
OTHER
Certifications: Certified SAS Base Programmer, Lean Six Sigma Black Belt
Projects: Developed predictive model for patient survival rates using big data from 150+ hospitals
Awards & Honors: Recipient, American Statistical Association Outstanding Statistical Application Award, 2019
Publications: Co-Author, 'Advanced Biostatistical Methods for Clinical Trials', Published in Journal of Biopharmaceutical Statistics
Your Name
Clinical Biostatistician
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Coached.com July 2018 - Present
Principal Clinical Biostatistician
Orchestrated clinical study design for 5+ late-phase trials, optimizing resources and reducing costs by 15%.
Streamlined statistical programming workflows using Stata, increasing team efficiency by 30%.
Championed the execution of survival analysis for oncology studies, enhancing the prognostic accuracy by 40%.
Pioneered biostatistical input in clinical research, leading to quicker FDA approvals for two drugs.
Crafted comprehensive data analysis strategy leading to an improvement in data integrity by 50%.
Johnson & Johnson January 2014 - June 2018
Associate Clinical Biostatistician
Utilized robust knowledge of epidemiology to impact infectious disease studies, aiding in faster outbreak containment.
Leveraged advanced statistical methodologies to analyze clinical trial data, improving study reliability by 25%.
Conducted thorough public health data analyses, influencing significant public health policies.
EDUCATION
Resume Worded University May 2013
Master of Science - Biostatistics
Emphasis on Clinical Biostatistics
Resume Worded University May 2011
Bachelor of Science - Mathematics
Minors in Biology and Computer Science
Academic Distinction in Writing and Computation
SKILLS
Programming & Software: R, SAS, Python, STATA, MATLAB, SPSS
Statistical Methods: Survival Analysis, Longitudinal Data Analysis, Randomized Control Trials, Clinical Trials
Data Management: Data Cleaning, Data Mining, Data Transformation, Quality Assurance, Database Administration
Other Skills: Experimental Design, Hypothesis Testing, Risk Assessment, Biostatistics Consulting, Regulatory Compliance
OTHER
Certifications: Certification in Biostatistics - National Board of Public Health Examiners (2019)
Professional Associations: Member of the American Statistical Association, Biopharmaceutical Section
Projects: Lead researcher in the longitudinal study of drug efficacy in acute myeloid leukemia
Your Name
Statistical Scientist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded September 2019 - Present
Principal Statistical Scientist
Enhanced clinical data interpretation through advanced statistical modeling, amplifying study outcomes' clarity.
Introduced advanced SAS programming technique to the team, increasing programming efficiency by 35%.
Led the creation and execution of thorough statistical analysis plans, reducing analysis timeline by 20%.
Played critical role in steering 5 successful clinical trials following stringent CDISC standards.
Championed the adoption of R programming language for data analysis, reducing software costs by 25%.
Eli Lilly & Co February 2015 - August 2019
Senior Statistical Scientist
Provided biostatistical acumen in interpreting challenging clinical data, aiding in successful study outcomes.
Transformed data analysis protocols through innovative use of Stata, bolstering data reliability.
Incorporated robust epidemic modeling in public health research leading to impactful policy recommendations.
EDUCATION
Resume Worded Academic Center January 2015
Doctor of Philosophy in Statistics
Thesis: 'Advanced Statistical Analysis for Big Data'
Resume Worded University May 2013
Master of Science in Statistics
Specialization in Biostatistics
Graduated with Distinction
SKILLS
Statistical Software: SPSS, SAS, STATA, R, Python
Data Analysis & Methods: Predictive modeling, Time series analysis, Regression analysis, ANOVA, Experimental design, Machine learning
Data Management: SQL, Hadoop, Hive, Pig, AWS
Other Tools: Tableau, Microsoft Excel, MATLAB, Jupyter Notebook
OTHER
Certifications: Certified Statistical Associate (American Statistical Association)
Professional Memberships: Member, American Statistical Association; Member, International Society for Clinical Biostatistics
Publications: Contributing author to peer-reviewed articles in the Journal of Applied Statistics and Biometrics
Projects: Co-investigator on a research project funded by the National Institutes of Health: 'Advanced Predictive Modeling Techniques for Large Databases'
Your Name
Director Biostatistics
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded July 2019 - Present
Director Biostatistics
Elevated clinical study design by integrating modern biostatistical methodologies, resulting in 30% greater efficiency in regulatory submissions
Led cross-functional team of 15+ in the execution of global clinical trials adhering to Good Clinical Practice (GCP)
Spearheaded biotechnology drug development, accelerating two flagship products to late-stage development
Utilized SAS programming to enhance clinical data management and achieved 20% increase in data processing speed
Innovated in the use of Electronic Data Capture (EDC), leading to a 15% increase in data integrity and reliability
Coached.com January 2015 - June 2019
Senior Biostatistician
Designed and implemented statistical programming strategies, resulting in 25% improvement in data accuracy and efficiency
Played a critical role in regulatory submissions to the U.S. Food and Drug Administration (FDA), leading to successful approval of three new drugs
Integrated CDISC standards into clinical research operations for improved data harmonization
Amgen February 2012 - December 2014
Biostatistician II
Generated analytical reports using SAS for clinical trials, improving trial efficiency by 15%
Provided comprehensive support for oncology studies leading to patent filing for two oncology drugs
EDUCATION
Resume Worded University January 2012
Doctorate of Biostatistics
Thesis: 'Advanced Biostatistical Methods for Clinical Trials'
Resume Worded Institute May 2009
Master of Science in Statistics
Specialization in Biostatistics
Awards: Dean's List 2009 (Top 5%)
SKILLS
Biostatistics Software: SAS, R, STATA, SPSS, Bioconductor
Data Analysis: Survival Analysis, Longitudinal Data Analysis, Regression Analysis
Study Design: Randomized Control Trials, Observational Studies, Cluster Randomized Trials
Programming: SQL, Python, MATLAB
OTHER
Certifications: Certified SAS Base Programmer, Certified Professional Biostatistician (CPB)
Leadership & Volunteering: Lead Organizer - National Biostatistics Symposium (2018), Volunteer - 'Numeracy for everyone' campaign
Awards: Amgen’s Excellence in Biostatistics Award (2014)
Publications: Published over 10 articles in reputed Biostatistics and Medical Statistics Journals
Your Name
Senior Biostatistical Manager
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Coached.com August 2020 - Present
Senior Biostatistical Manager
Managed and mentored team of 10+ statisticians in the field of clinical development, resulting in two team members progressing to leadership roles
Utilized Biostatistics and Statistical programming to reduce data discrepancies by 40% in clinical trials
Oversaw CRO management, enhancing the efficiency of outsourcing processes by 30%
Pioneered the application of SAS in data management, enhancing data accuracy by 20%
Championed the adherence to Good Clinical Practice (GCP), resulting in zero regulatory compliance issues
Resume Worded March 2015 - July 2020
Biostatistical Manager
Promoted to Senior role ahead of schedule due to impact on Clinical Data Management initiatives
Enhanced the use of protocols, leading to 25% improved efficiency in clinical trials
Played key role in life sciences drug development, resulting in successful patenting of a breakthrough treatment
Roche January 2011 - February 2015
Biostatistician II
Revolutionized data capture methods through advanced use of Electronic Data Capture (EDC), increasing collection speed by 20%
Leveraged SAS for data analysis, resulting in 15% improved data accuracy and reliability
EDUCATION
Resume Worded University May 2010
Master of Science - Biostatistics
Concentration in Computational Biology
Resume Worded Academic Center May 2008
Bachelor of Science - Statistics
Minors in Computer Science and Mathematics
Dean's List 2008 (Top 10%)
SKILLS
Biostatistical Softwares: SAS, Stata, SPSS, R, Python
Data Analysis Tools: Tableau, Excel, SQL, MATLAB
Programming: Python, Java, C++, Ruby
Data Management: MongoDB, Epi Info, REDCap, Oracle E-Business Suite
OTHER
Certifications: Statistical Analysis System (SAS) Certified (2020), Certified Clinical Data Manager (2022)
Volunteering: Data Science For All / Empowerment - Mentor (2019 - Present)
Awards: Employee of the Year - Resume Worded (2018), Roche Excellence in Statistics Award (2014)
Professional Affiliations: Member of American Statistical Association, International Biometric Society
Your Name
Clinical Biostatistics Lead
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded June 2018 - Present
Clinical Biostatistics Lead
Directed biostatistical strategy for seven large-scaled clinical studies, achieving 35% more strategic targets
Mentored a team of statisticians and enhanced the use of Biostatistics, leading to 30% performance improvement in statistical programming
Established and maintained CDISC standards in clinical research, resulting in consistent and streamlined data
Applied SAS programming in clinical trials analysis, optimizing data accuracy and speed by 25%
Supervised regulatory submissions, achieving a 100% success rate in FDA approvals
Coached.com December 2013 - May 2018
Senior Biostatistician
Developed statistical analysis approaches leading to 45% reduction in the timeline of oncology drug development process
Implemented CDISC standards into research regimen, improving data quality by 20%
Played an instrumental role in team responsible for eight successful U.S. Food and Drug Administration (FDA) submissions
Pfizer May 2010 - November 2013
Biostatistician II
Implemented new drug development protocols, speeding up preclinical trials by 20%
Achieved 100% compliance with Good Clinical Practice (GCP) regulations on all assigned studies
EDUCATION
Resume Worded Institute June 2018
Doctorate in Biostatistics
Thesis: 'Application of Machine Learning in Clinical Trials'
Resume Worded University May 2010
Master of Science in Statistics
Coursework: Experimental Design, Probability, Statistical Inference and Modelling
Awards: Graduated Summa Cum Laude
SKILLS
Statistical Software: SAS, STATA, R, Python, SPSS
Data Analysis: Regression Analysis, Predictive Modeling, Data Mining, Big Data Analysis
Research: Clinical Trials, Survey Design, Epidemiology, Study Design, Bioinformatics
Other Tools: Excel, SQL, Tableau, MATLAB, LaTeX
OTHER
Certifications: Certified SAS Programmer, Certified in Public Health (CPH)
Publications & Presentations: 10+ publications in top-tier scientific journals, Presented at 5+ international conferences
Professional Affiliations: Member of the American Statistical Association, Member of the International Biometric Society
Projects: Designed and implemented unique study on clinical trial case study using advanced biostatistic techniques

How do I add skills to a Biostatistician resume?

1
Review the job posting closely.

Go through the Biostatistician posting you're applying to, and identify hard skills the company is looking for. For example, skills like SAS Programming, SAS and R (Programming Language) are possible skills. These are skills you should try to include on your resume.

2
Add industry skills like Statistical Modeling and Biostatistics.

Add other common skills from your industry - such as Survival Analysis, Clinical Trials and Statistics - into your resume if they're relevant.

3
Add skills into your work experience.

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

4
Highlight data science skill sets.

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

5
Use the exact job title.

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

Word Cloud for Biostatistician Skills & Keywords

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

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Biostatistician 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.

Resume Example
Professional


Resume Example
Highlights (Free)


Resume Example
Modern Two-Column


Resume Example
Clean Modern


Resume Example
Entry-Level (Free)


Resume Example
Concise


Frequently Asked Questions

What skills should you add to a Biostatistician resume?

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

  • Biostatistics
  • SAS
  • SAS Programming
  • Clinical Trials
  • Statistics
  • Statistical Modeling
  • R (Programming Language)
  • Survival Analysis

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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