Genentech
Overview
The Analytical Data Science Programmer is a key contributor to the clinical study team, responsible for transforming statistical analysis plans into high-quality, traceable programming deliverables. This includes static and dynamic outputs, such as tables, listings, figures, and interactive data visualizations or dashboards. The role involves creating and validating datasets in accordance with Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) standards, ensuring compliance with regulatory requirements and Roche standards. The ADS Programmer contributes to data insights through platforms such as the Insight Engine, enabling real-time exploration and interpretation of diverse clinical and exploratory data.
This role supports regulatory submissions and fosters a modern, insight-driven development environment by enabling robust, timely analytics across clinical programs.
Responsibilities
You independently develop, validate, and maintain datasets and statistical outputs for clinical trials, including SDTM datasets, ADaM datasets, and tables, listings, and figures (TLFs), ensuring programming accuracy, traceability, and regulatory compliance.
You develop and support programming outputs across various data types, including exploratory biomarker data and real-world data, to support regulatory and scientific objectives.
You collaborate on exploratory analyses spanning disease and therapeutic areas to inform drug development strategies.
You support the creation and refinement of interactive tools and analytical applications (e.g., dashboards, visual data platforms) for dynamic data exploration by scientific and clinical teams.
You provide programming leadership for assigned studies, coordinating deliverables with internal and external programming partners to meet timelines and requirements.
You interpret statistical analysis plans and translate them into executable programming specifications to ensure scientific rigor in outputs.
You troubleshoot and resolve technical programming challenges with limited supervision, identify risks, and implement effective solutions while meeting timelines.
You contribute to the design and maintenance of standard macros and reusable components to promote efficiency and consistency across studies.
You document programming workflows and maintain audit trails to ensure study files are complete, traceable, and inspection-ready.
You work cross-functionally with stakeholders (biostatistics, data management, clinical operations) to define timelines and deliverables.
You engage in process improvement and innovation activities and participate in learning to grow knowledge of clinical research and programming standards.
Who you are
You hold a Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field.
You have a minimum of 5 years of experience in statistical programming in a clinical development setting, or an advanced degree with 3 years of equivalent experience.
You are proficient in or have working knowledge of a modern programming language (such as SAS or R) and visualization/review tools.
You have a deep understanding of statistical quality, endpoints, and QC processes.
You have experience with Clinical Data Interchange Standards Consortium (CDISC) standards (e.g., SDTM and ADaM).
You bring expertise in handling and analyzing different types of data (multi-modal).
You have demonstrated ability to deliver programming outputs independently.
You demonstrate respect for cultural differences when interacting with colleagues in a global workplace.
You are fluent in English.
Preferred Qualifications
Attention to detail for regulatory submission processes and related documentation.
Demonstrate critical thinking, strong organizational and problem-solving skills.
Experience working in cross-functional global study teams.
Effective communication skills with the ability to translate complex statistical concepts for non-statistical audiences.
Experience with multiple phases of drug development (early and/or late stage).
Excellent communication skills, including the ability to influence and translate complex data for non-technical stakeholders.
Demonstrated willingness to adapt, grow, and evolve in response to shifting priorities.
Compensation and Benefits The expected salary range for this position based on the primary location of Boston is $114,000 - $211,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and company performance. This position also qualifies for the benefits detailed at the link provided below. Relocation benefits are available for this posting.
Benefits and Equal Opportunity Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company’s policy prohibits unlawful discrimination, including discrimination on the basis of protected veteran status, disability status, and in line with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form: Accommodations for Applicants.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
#J-18808-Ljbffr
This role supports regulatory submissions and fosters a modern, insight-driven development environment by enabling robust, timely analytics across clinical programs.
Responsibilities
You independently develop, validate, and maintain datasets and statistical outputs for clinical trials, including SDTM datasets, ADaM datasets, and tables, listings, and figures (TLFs), ensuring programming accuracy, traceability, and regulatory compliance.
You develop and support programming outputs across various data types, including exploratory biomarker data and real-world data, to support regulatory and scientific objectives.
You collaborate on exploratory analyses spanning disease and therapeutic areas to inform drug development strategies.
You support the creation and refinement of interactive tools and analytical applications (e.g., dashboards, visual data platforms) for dynamic data exploration by scientific and clinical teams.
You provide programming leadership for assigned studies, coordinating deliverables with internal and external programming partners to meet timelines and requirements.
You interpret statistical analysis plans and translate them into executable programming specifications to ensure scientific rigor in outputs.
You troubleshoot and resolve technical programming challenges with limited supervision, identify risks, and implement effective solutions while meeting timelines.
You contribute to the design and maintenance of standard macros and reusable components to promote efficiency and consistency across studies.
You document programming workflows and maintain audit trails to ensure study files are complete, traceable, and inspection-ready.
You work cross-functionally with stakeholders (biostatistics, data management, clinical operations) to define timelines and deliverables.
You engage in process improvement and innovation activities and participate in learning to grow knowledge of clinical research and programming standards.
Who you are
You hold a Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field.
You have a minimum of 5 years of experience in statistical programming in a clinical development setting, or an advanced degree with 3 years of equivalent experience.
You are proficient in or have working knowledge of a modern programming language (such as SAS or R) and visualization/review tools.
You have a deep understanding of statistical quality, endpoints, and QC processes.
You have experience with Clinical Data Interchange Standards Consortium (CDISC) standards (e.g., SDTM and ADaM).
You bring expertise in handling and analyzing different types of data (multi-modal).
You have demonstrated ability to deliver programming outputs independently.
You demonstrate respect for cultural differences when interacting with colleagues in a global workplace.
You are fluent in English.
Preferred Qualifications
Attention to detail for regulatory submission processes and related documentation.
Demonstrate critical thinking, strong organizational and problem-solving skills.
Experience working in cross-functional global study teams.
Effective communication skills with the ability to translate complex statistical concepts for non-statistical audiences.
Experience with multiple phases of drug development (early and/or late stage).
Excellent communication skills, including the ability to influence and translate complex data for non-technical stakeholders.
Demonstrated willingness to adapt, grow, and evolve in response to shifting priorities.
Compensation and Benefits The expected salary range for this position based on the primary location of Boston is $114,000 - $211,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and company performance. This position also qualifies for the benefits detailed at the link provided below. Relocation benefits are available for this posting.
Benefits and Equal Opportunity Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company’s policy prohibits unlawful discrimination, including discrimination on the basis of protected veteran status, disability status, and in line with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form: Accommodations for Applicants.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
#J-18808-Ljbffr