7 Statistical Programmer Job Description Templates and Examples

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are looking for a detail-oriented Junior Statistical Programmer to join our analytics team. In this entry-level position, you will collaborate with experienced statisticians and programmers to support data analysis and reporting initiatives that drive critical decision-making processes.

Responsibilities

• Assist in data preparation and statistical analysis under the guidance of senior team members
• Support the development and validation of statistical programs in languages such as SAS or R
• Participate in the creation of statistical reports and documentation to ensure compliance with regulatory requirements
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights
• Conduct exploratory data analysis to identify trends and patterns in datasets
• Maintain thorough documentation of processes and ensure data integrity across projects

Required and Preferred Qualifications

Required:

• Bachelor's degree in Statistics, Mathematics, Data Science, or a related field
• Some experience with statistical programming languages such as SAS, R, or Python
• Basic understanding of statistical concepts and methodologies
• Strong analytical skills and attention to detail
• Ability to work collaboratively in a team-oriented environment

Preferred:

• Internship or academic project experience in statistical analysis or programming
• Familiarity with data visualization tools such as Tableau or Power BI
• Knowledge of regulatory standards related to data analysis in clinical research or similar fields

Technical Skills and Relevant Technologies

• Proficiency in at least one statistical programming language (SAS, R, or Python)
• Experience with data manipulation and cleaning
• Understanding of database management systems and SQL

Soft Skills and Cultural Fit

• Excellent communication skills, both verbal and written
• Keen problem-solving abilities and resourcefulness
• A proactive approach to learning and professional development
• Strong organizational skills and ability to manage multiple tasks

Benefits and Perks

We offer a competitive salary and a comprehensive benefits package, including:

• Health, dental, and vision insurance
• Retirement savings plan with company match
• Generous paid time off and holidays
• Opportunities for professional development and continuous learning
• Flexible work arrangements

Equal Opportunity Statement

[$COMPANY_NAME] is committed to fostering a diverse workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.

Location

This is a remote position within [$COMPANY_LOCATION].

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are seeking a detail-oriented Statistical Programmer to join our data analytics team at [$COMPANY_NAME]. In this role, you will leverage your statistical programming skills to design, implement, and maintain statistical analyses and reporting systems that inform critical business decisions. You will collaborate with cross-functional teams to ensure data integrity and drive insights from complex datasets.

Responsibilities

• Develop and validate statistical programs to analyze clinical trial data, ensuring compliance with regulatory standards and guidelines.
• Prepare and maintain statistical analysis plans (SAP) and related documentation to facilitate accurate reporting of results.
• Collaborate with biostatisticians and clinical teams to understand analysis requirements and deliver timely outputs.
• Implement and optimize data management processes to support data collection, transformation, and quality control.
• Utilize programming languages such as SAS or R to perform data manipulation, statistical analysis, and reporting.
• Conduct exploratory data analysis to identify trends and patterns, translating findings into actionable insights for stakeholders.

Required and Preferred Qualifications

Required:

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
• 2+ years of experience in statistical programming, preferably in the pharmaceutical or clinical research industry.
• Proficiency in SAS or R for statistical analysis and data visualization.
• Strong understanding of statistical methodologies and their application in clinical trials.
• Excellent attention to detail and ability to work under tight deadlines.

Preferred:

• Experience with SDTM and ADaM datasets in clinical trials.
• Familiarity with regulatory submissions (e.g., FDA, EMA) and associated documentation.
• Knowledge of data management systems and clinical trial management software.

Technical Skills and Relevant Technologies

• Proficiency in programming languages such as SAS, R, or Python.
• Experience with database management systems (e.g., SQL) for data extraction and manipulation.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively.

Soft Skills and Cultural Fit

• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills to convey complex information to diverse audiences.
• A collaborative mindset with the ability to work effectively in cross-functional teams.
• Proactive approach to identifying issues and proposing solutions.
• A commitment to continuous learning and professional development.

Benefits and Perks

Annual salary range: [$SALARY_RANGE].

Additional benefits may include:

• Health, dental, and vision insurance.
• 401(k) with company match.
• Generous paid time off policy, including vacation and sick leave.
• Professional development opportunities and training programs.
• Flexible work arrangements to promote work-life balance.

Equal Opportunity Statement

[$COMPANY_NAME] is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location

This is a hybrid position that requires in-office presence at least 3 days a week at our office located in [$COMPANY_LOCATION].

We encourage applicants from all backgrounds and experiences, including those who may not meet all the qualifications listed, to apply for this role.

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are seeking a highly skilled and experienced Senior Statistical Programmer to join our dynamic team. In this pivotal role, you will be responsible for designing, developing, and validating complex statistical programming solutions to support clinical trial analysis and reporting. You will collaborate closely with biostatisticians and data scientists to ensure the integrity and accuracy of data analyses.

Responsibilities

• Lead the development and validation of statistical programs and automated reporting tools to generate analysis datasets and statistical outputs.
• Collaborate with cross-functional teams to define project requirements and deliverables, ensuring alignment with regulatory standards.
• Review and validate statistical analysis plans (SAP) and ensure compliance with programming standards and best practices.
• Mentor junior programmers, sharing knowledge on programming techniques and regulatory requirements.
• Utilize tools such as SAS, R, or Python to perform data manipulation, statistical analysis, and visualization.
• Participate in the preparation of documents for regulatory submissions, including analysis datasets, tables, listings, and figures.

Required and Preferred Qualifications

Required:

• Master’s degree in Statistics, Biostatistics, Computer Science, or a related field.
• 5+ years of experience in statistical programming within the pharmaceutical or biotechnology industry.
• Extensive knowledge of SAS programming and statistical methodologies.
• Proven track record of successfully contributing to regulatory submissions.

Preferred:

• Experience in programming with R or Python for statistical analysis and data visualization.
• Familiarity with CDISC standards (SDTM, ADaM).
• Strong communication skills with the ability to present complex data insights to non-technical stakeholders.

Technical Skills and Relevant Technologies

• Proficiency in SAS or R, with strong data manipulation and statistical analysis skills.
• Experience with data management and analysis tools (e.g., SQL, Excel).
• Understanding of clinical trial design and statistical methodology.

Soft Skills and Cultural Fit

• Exceptional attention to detail and a commitment to data integrity.
• Strong analytical thinking and problem-solving skills.
• Ability to work independently in a fully remote environment while managing multiple projects and deadlines.
• A collaborative mindset with a passion for mentoring and knowledge sharing.

Benefits and Perks

The expected salary range for this position is [$SALARY_RANGE].

Additional benefits may include:

• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company match.
• Generous paid time off and holiday schedule.
• Professional development opportunities and annual learning stipend.
• Flexible work arrangements to promote work-life balance.

Equal Opportunity Statement

[$COMPANY_NAME] is committed to fostering a diverse and inclusive workplace. We are proud to be an Equal Opportunity Employer, and we welcome applicants from all backgrounds and walks of life. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or any other characteristic protected by applicable law.

Location

This is a fully remote position.

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are seeking a highly skilled Lead Statistical Programmer to join our dedicated team at [$COMPANY_NAME]. In this role, you will be instrumental in designing and executing statistical programming solutions that support our clinical trial data analysis. You will leverage your expertise to ensure the accuracy and integrity of statistical analyses, while also serving as a mentor and leader within the programming team.

Responsibilities

• Lead the development and validation of statistical analysis plans (SAP) and programming specifications for clinical trials.
• Oversee the creation of datasets, tables, listings, and figures to meet regulatory submission requirements.
• Collaborate with biostatisticians, clinical researchers, and other cross-functional teams to ensure timely and accurate program deliverables.
• Provide technical leadership and mentorship to junior programmers, fostering a culture of learning and continuous improvement.
• Manage programming timelines, resource allocation, and project deliverables to ensure adherence to industry standards and regulatory guidelines.
• Conduct quality control and validation of programming deliverables, ensuring compliance with SOPs and regulatory requirements.

Required and Preferred Qualifications

Required:

• Master’s degree in Statistics, Biostatistics, Computer Science, or a related field.
• 5+ years of experience in statistical programming for clinical trials, with a strong understanding of CDISC standards (SDTM, ADaM).
• Proficiency in SAS programming and experience with other statistical software (e.g., R, Python).
• Solid understanding of statistical concepts and methodologies used in clinical research.
• Excellent communication skills and ability to work collaboratively in a team environment.

Preferred:

• Experience with submissions to regulatory agencies (FDA, EMA).
• Knowledge of data visualization techniques and tools.
• Demonstrated ability to manage multiple projects simultaneously in a fast-paced environment.

Technical Skills and Relevant Technologies

• Advanced proficiency in SAS, including macro programming and SQL.
• Familiarity with software development lifecycle and project management methodologies.
• Experience with electronic data capture (EDC) systems and clinical trial management systems (CTMS).

Soft Skills and Cultural Fit

• Strong analytical and problem-solving skills, with meticulous attention to detail.
• Proactive approach to identifying and addressing issues before they escalate.
• Ability to adapt to changing priorities and work under tight deadlines.
• Commitment to maintaining high ethical standards and integrity in all programming activities.

Benefits and Perks

Annual salary range: [$SALARY_RANGE]

Additional benefits may include:

• Comprehensive health, dental, and vision insurance plans.
• 401(k) plan with company match.
• Generous paid time off and holidays.
• Professional development and continuing education opportunities.
• Collaborative and inclusive work environment with a focus on employee well-being.

Equal Opportunity Statement

[$COMPANY_NAME] is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.

Location

This role requires successful candidates to be based in-person at our office in [$COMPANY_LOCATION].

We encourage applicants from diverse backgrounds and experiences to apply, even if they do not meet all the qualifications listed.

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are seeking an experienced Principal Statistical Programmer to join our dynamic team. In this role, you will lead the design and development of statistical programming solutions to support clinical trials and regulatory submissions, ensuring compliance with industry standards and best practices. You will be instrumental in delivering high-quality data analysis and reporting that drives critical decisions in drug development.

Responsibilities

• Lead the statistical programming efforts for multiple clinical trials, ensuring timely delivery of high-quality datasets and analysis results.
• Design, implement, and validate SAS programs for statistical analysis, data manipulation, and reporting.
• Collaborate with biostatisticians, data managers, and clinical teams to define analysis specifications and data requirements.
• Review and provide input on statistical analysis plans (SAPs), including programming methodologies and documentation.
• Mentor and train junior programming staff, fostering a culture of continuous learning and improvement.
• Ensure compliance with regulatory requirements and internal standard operating procedures (SOPs) throughout the programming lifecycle.
• Participate in cross-functional project meetings and contribute to project planning and timelines.

Required Qualifications

• M.S. or Ph.D. in Statistics, Biostatistics, Computer Science, or a related field.
• 8+ years of experience in statistical programming, preferably in the pharmaceutical or biotechnology industry.
• Deep expertise in SAS programming and advanced statistical techniques.
• Strong knowledge of clinical trial processes and regulatory requirements.
• Proven ability to manage multiple projects and meet tight deadlines in a fast-paced environment.
• Excellent communication and interpersonal skills, with the ability to work effectively in cross-functional teams.

Preferred Qualifications

• Experience with other programming languages such as R or Python.
• Familiarity with CDISC standards (SDTM, ADaM).
• Previous experience in a leadership role, guiding programming teams on best practices and methodologies.

Technical Skills and Relevant Technologies

• Expertise in SAS, including BASE SAS, SAS/STAT, and SAS/GRAPH.
• Experience with data visualization tools and techniques.
• Proficiency in managing and analyzing clinical trial data using relational databases.

Soft Skills and Cultural Fit

• Strong analytical and problem-solving skills, with attention to detail.
• Ability to communicate complex statistical concepts to non-technical stakeholders.
• A proactive approach to identifying and resolving issues, with a focus on delivering results.
• Commitment to maintaining the highest ethical standards in data handling and reporting.

Benefits and Perks

Salary range: [$SALARY_RANGE]

Comprehensive benefits package includes:

• Health, dental, and vision insurance.
• 401(k) plan with company match.
• Generous paid time off and holiday schedule.
• Professional development opportunities and training.
• Flexible work arrangements.

Equal Opportunity Statement

[$COMPANY_NAME] is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation, or any other basis protected by applicable law.

Location

This is a fully remote position.

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are seeking a highly skilled Manager of Statistical Programming to lead our statistical programming team in delivering high-quality data analysis and reporting solutions. In this role, you will be responsible for overseeing statistical programming activities, ensuring compliance with regulatory standards, and collaborating with cross-functional teams to drive data-driven decision-making.

Responsibilities

• Lead and mentor a team of statistical programmers, fostering a culture of continuous learning and professional development
• Oversee the design, development, and validation of statistical programming deliverables, ensuring adherence to regulatory requirements and internal standards
• Collaborate with biostatistics, data management, and clinical teams to define programming specifications and ensure timely delivery of outputs
• Implement and enhance programming processes, tools, and best practices to improve efficiency and quality
• Serve as a subject matter expert in statistical programming, providing guidance on industry trends and emerging methodologies
• Participate in project planning and resource allocation to meet project timelines and objectives

Required and Preferred Qualifications

Required:

• Master's degree in Statistics, Mathematics, Computer Science, or a related field
• 5+ years of experience in statistical programming within the pharmaceutical or biotech industry
• Proven experience managing teams and leading projects in a fast-paced environment
• Strong proficiency in SAS programming and experience with other programming languages (e.g., R, Python)
• In-depth knowledge of regulatory guidelines and standards (e.g., CDISC, FDA) for statistical programming

Preferred:

• PhD in Statistics or associated discipline
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Demonstrated ability to manage multiple projects and priorities simultaneously

Technical Skills and Relevant Technologies

• Expertise in SAS and proficiency in R and Python for statistical analysis
• Experience with clinical trial data and statistical analysis methodologies
• Familiarity with database systems (e.g., SQL) and data management practices

Soft Skills and Cultural Fit

• Exceptional communication and interpersonal skills, with the ability to collaborate effectively across teams
• Strong analytical and problem-solving skills, with a focus on data-driven solutions
• Ability to thrive in a dynamic, fast-paced environment while maintaining attention to detail
• Proactive mindset with a commitment to continuous improvement and innovation

Benefits and Perks

Annual salary range: [$SALARY_RANGE]

Additional benefits may include:

• Comprehensive health, dental, and vision insurance
• Retirement plans with company matching
• Generous paid time off and flexible working arrangements
• Professional development and training opportunities

Equal Opportunity Statement

[$COMPANY_NAME] is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation, or any other basis protected by applicable law.

Location

This is a hybrid position, requiring candidates to work from the office at least 3 days a week in [$COMPANY_LOCATION].

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are looking for a highly skilled Director of Statistical Programming to lead our statistical programming team, ensuring the development and implementation of efficient programming solutions that support our clinical trials and research initiatives. This role will involve collaborating with cross-functional teams to drive data analysis and reporting strategies, while mentoring and guiding a team of statistical programmers.

Responsibilities

• Lead and manage a team of statistical programmers, providing technical guidance and fostering professional development
• Oversee the design and implementation of statistical programming processes for clinical trials, ensuring compliance with regulatory standards
• Collaborate with biostatisticians, data managers, and clinical researchers to develop analysis plans and statistical methodologies
• Review and validate programming deliverables, ensuring accuracy and adherence to project timelines
• Establish best practices for statistical programming and data management, driving continuous improvement initiatives
• Engage in strategic planning to align statistical programming activities with organizational goals

Required and Preferred Qualifications

Required:

• Master's degree in Statistics, Biostatistics, Mathematics, or a related field
• 8+ years of experience in statistical programming within a clinical research environment
• Proven track record of leadership experience, managing statistical programming teams
• Expertise in SAS programming and strong understanding of statistical methodologies

Preferred:

• PhD in a relevant field
• Experience with other programming languages such as R or Python
• Familiarity with regulatory submissions and compliance standards
• Experience in therapeutic areas such as oncology or rare diseases

Technical Skills and Relevant Technologies

• Deep knowledge of statistical programming languages and tools, particularly SAS
• Experience with data visualization tools and reporting systems
• Proficiency in managing large datasets and ensuring data integrity
• Familiarity with clinical trial management systems (CTMS) and electronic data capture (EDC) systems

Soft Skills and Cultural Fit

• Strong leadership and mentorship capabilities, with a focus on team development
• Excellent communication skills, both verbal and written, with the ability to convey complex data and statistical concepts
• Proactive problem-solving abilities, with a track record of navigating complex challenges
• Ability to work collaboratively across disciplines and influence decision-making
• Commitment to fostering a diverse and inclusive work environment

Benefits and Perks

Annual salary range: [$SALARY_RANGE]

Additional benefits may include:

• Equity options
• Comprehensive health, dental, and vision insurance
• Retirement savings plan with employer matching
• Generous paid time off policy
• Professional development and continuing education stipends

Equal Opportunity Statement

[$COMPANY_NAME] is committed to diversity and inclusion in the workplace. We are proud to be an Equal Opportunity Employer and encourage applications from all qualified individuals without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, or any other basis protected by applicable law.

Location

A successful candidate will be expected to work from the office at least 3 days a week.