Jobs at Adam S. Kutner & Associates

This senior-level statistical programming role places the candidate fully embedded within a global pharmaceutical client's team, supported by Cytel's resources. The position focuses on leading or supporting early and late-stage clinical trials across various therapeutic areas, with a specific emphasis on early development, efficacy, and pharmacokinetic data. Key responsibilities include generating and validating SDTM and ADaM datasets, performing complex data manipulation and analysis using SAS, creating submission documents, and ensuring adherence to CDISC standards. The role offers the appeal of working with autonomy on innovative patient treatments within a collaborative culture that values scientific rigor and intellectual curiosity. The work arrangement is hybrid, requiring three days per week on-site in Pennsylvania or New Jersey.

This senior statistical programmer role is a sponsor-dedicated position embedded within a global pharmaceutical client, supporting early and late-stage clinical trials. The team operates with autonomy and ownership, leveraging advanced SAS programming skills to generate and validate CDISC-compliant deliverables such as SDTM, ADaM, and TFLs. Key responsibilities include performing complex data manipulation for efficacy and safety analysis, creating submission documents, and leading quality control efforts. The position offers a hybrid work arrangement requiring three days on-site in Pennsylvania or New Jersey. The role is appealing due to the opportunity to work on cutting-edge patient treatments, access to consistent professional development, and a collaborative culture that values scientific rigor and innovation.

This senior statistical programmer role is a sponsor-dedicated position embedded within a global pharmaceutical client, offering a hybrid work arrangement requiring three days per week in Pennsylvania or New Jersey. The position leverages advanced SAS programming and CDISC standards to support early and late-stage clinical trials across various therapeutic areas. Key responsibilities include generating and validating SDTM and ADaM datasets, performing complex efficacy and safety analyses, creating submission documents, and leading programming standards development. The role appeals to candidates seeking autonomy and ownership while contributing to patient treatment innovation. It offers a collaborative culture that values scientific rigor, intellectual curiosity, and continuous professional development within a globally dispersed team environment.

This hybrid role within the Biostatistics and Research Decision Sciences department supports late-stage clinical development for respiratory and immunology projects. The position focuses on developing, validating, and maintaining efficacy and safety datasets, tables, listings, and figures using SAS programming. Key responsibilities include ensuring deliverable quality through adherence to standard operating procedures and collaborating with internal teams and external partners to gather requirements and produce medical monitoring reports. The role offers an opportunity to contribute to global human health by enabling the discovery and approval of vital medical treatments. It appeals to candidates seeking a collaborative environment with a clear path for career growth through increasing levels of challenge and responsibility.

This senior-level role involves embedding within a global pharmaceutical client to lead statistical programming for early and late-stage clinical trials. The position requires advanced SAS expertise to generate and validate CDISC-compliant deliverables, including SDTM, ADaM, and efficacy analysis datasets, while managing complex ad-hoc reporting and submission documents. Key responsibilities include developing global programming standards, performing data manipulation for safety and pharmacokinetic studies, and collaborating with cross-functional teams to ensure project success. The opportunity is appealing due to the autonomy and ownership granted to employees, a culture that values scientific rigor and innovation, and access to consistent training and development. The work arrangement is hybrid, requiring three days per week on-site in Pennsylvania or New Jersey.

This senior statistical programmer role is a hybrid position based in Pennsylvania or New Jersey, embedding the candidate within a global pharmaceutical client's team. The individual will leverage advanced SAS programming and CDISC standards to lead or support early and late-stage clinical trials across various therapeutic areas. Key responsibilities include generating and validating SDTM and ADaM datasets, performing complex efficacy and safety analyses, creating submission documents, and developing global programming standards. The position is appealing for its focus on innovation, offering autonomy and ownership in a collaborative environment that values scientific rigor and intellectual curiosity. Candidates will benefit from consistent training and development opportunities while working with cutting-edge technology to drive patient treatment advancements.

This senior statistical programmer role is a hybrid position based in Pennsylvania or New Jersey, embedding the candidate within a global pharmaceutical client's team. The individual will leverage advanced SAS programming and CDISC standards to lead or support early and late-stage clinical trials across various therapeutic areas. Key responsibilities include generating and validating SDTM and ADaM datasets, performing complex efficacy and safety data analysis, creating submission documents, and developing global programming standards. The position is appealing for its focus on innovation, intellectual curiosity, and the opportunity to work autonomously on cutting-edge patient treatments. The role offers a collaborative culture with strong support for professional development and training, requiring eight years of industry experience in clinical trial data programming.

This senior statistical programmer role is a sponsor-dedicated position embedded within a global pharmaceutical client, supporting early and late-stage clinical trials. The position requires advanced SAS programming skills to generate and validate CDISC-compliant deliverables, including SDTM, ADaM, and TFLs, while performing complex data manipulation and efficacy analysis. Key responsibilities include creating submission documents, conducting quality control, and collaborating with cross-functional teams to ensure project success. The role offers a hybrid work arrangement requiring three days on-site in Pennsylvania or New Jersey. It is appealing for its focus on innovation, intellectual curiosity, and the opportunity to work autonomously on cutting-edge patient treatments within a supportive, collaborative culture that values scientific rigor and professional development.

This senior statistical programmer role is a hybrid position based in Pennsylvania or New Jersey, embedding the candidate within a global pharmaceutical client to support early and late-stage clinical trials. The individual will leverage advanced SAS programming skills and CDISC standards to generate, validate, and review complex deliverables including SDTM, ADaM datasets, and efficacy analysis reports. Key responsibilities include performing data manipulation for safety and efficacy, creating submission documents, and leading programming standards development. The position appeals to professionals seeking autonomy and ownership within a culture that values scientific rigor, innovation, and intellectual curiosity. It offers opportunities for professional growth through consistent training and the chance to work on cutting-edge patient treatment initiatives in a collaborative, cross-functional environment.

This senior statistical programmer role is a sponsor-dedicated position embedded within a global pharmaceutical client, supporting early and late-stage clinical trials. The position requires advanced SAS programming skills to generate and validate CDISC-compliant deliverables, including SDTM, ADaM, and complex efficacy and safety reports. Key responsibilities involve performing data manipulation, developing global programming standards, creating submission documents, and collaborating with cross-functional teams. The role offers a hybrid work arrangement in Pennsylvania or New Jersey, three days on-site. It is appealing for its focus on innovation, intellectual curiosity, and the opportunity to work autonomously on cutting-edge patient treatment research within a supportive culture that values scientific rigor and professional development.

This senior statistical programmer role involves working fully embedded within a global pharmaceutical client to support early and late-stage clinical trials. The position requires leveraging advanced SAS programming skills and CDISC standards to generate, validate, and analyze statistical deliverables including SDTM, ADaM, and efficacy reports. Key responsibilities include performing data manipulation for safety and efficacy, creating complex ad-hoc reports, and leading submission document preparation. The role is appealing due to the opportunity to work with autonomy on innovative patient treatments within a collaborative culture that values scientific rigor and intellectual curiosity. The position is hybrid, requiring three days per week on-site in Pennsylvania or New Jersey, with access to consistent training and development support.

This senior statistical programmer role is embedded within a global pharmaceutical client, focusing on early and late-stage clinical trials in the pharmaceutical and biotech sectors. The position requires advanced SAS programming expertise to generate and validate CDISC-compliant deliverables, including SDTM, ADaM, and complex efficacy and safety reports. Key responsibilities involve data manipulation, PK/PD modeling, creating submission documents, and leading quality control processes. The role offers a hybrid work arrangement in Pennsylvania or New Jersey, combining three days of on-site collaboration with remote flexibility. It appeals to candidates seeking autonomy and ownership within a culture that values scientific rigor, innovation, and intellectual curiosity, supported by consistent professional development and a collaborative global team environment.

This senior statistical programmer role is a sponsor-dedicated position embedded within a global pharmaceutical client, supporting early and late-stage clinical trials. The position requires advanced SAS programming skills to generate and validate CDISC-compliant deliverables, including SDTM, ADaM, and TFLs, while performing complex data manipulation and efficacy analysis. Key responsibilities include creating submission documents, conducting quality control, and collaborating with cross-functional teams to ensure data integrity. The role offers a hybrid work arrangement in Pennsylvania or New Jersey, three days on-site. It is appealing for its focus on innovation, intellectual curiosity, and the opportunity to work autonomously on cutting-edge patient treatments within a supportive environment that values scientific rigor and professional growth.

This senior statistical programmer role is a sponsor-dedicated position embedded within a global pharmaceutical client, requiring a hybrid work arrangement in Pennsylvania or New Jersey three days per week. The position involves leveraging advanced SAS programming and CDISC standards to support early and late-stage clinical trials, including generating and validating SDTM, ADaM, and TFL deliverables. Key responsibilities encompass data manipulation for safety and efficacy analysis, creating complex ad-hoc reports, and leading submission document preparation. The role appeals to candidates seeking autonomy and ownership within a collaborative culture that values scientific rigor and innovation. It offers opportunities for professional growth through consistent training and the chance to work on cutting-edge patient treatment programs.

This senior statistical programmer role is embedded within a global pharmaceutical client, focusing on early and late-stage clinical trials in the pharmaceutical and biotech sectors. The position requires advanced SAS programming skills to generate and validate CDISC-compliant deliverables, including SDTM and ADaM datasets, as well as efficacy and safety analysis reports. Key responsibilities involve performing complex data manipulation, creating submission documents, and leading programming standards development. The role offers a hybrid work arrangement with three days required on-site in Pennsylvania or New Jersey. It is appealing for its emphasis on autonomy, intellectual curiosity, and the opportunity to drive patient treatment innovation within a collaborative, supportive team environment.

This full-time role serves as a Clinical Analytics Platform Developer supporting a global life sciences client across Sycamore, Lokavant, and Aetion platforms. The position combines hands-on data warehouse development with platform configuration, validation, and operational support. Key responsibilities include managing data model impact analysis, redesigning reconciliation logic for clinical data sources, and executing validation testing to ensure inspection-ready analytics. The role requires close collaboration with Clinical Data Management, Biostatistics, and Quality teams to maintain data integrity and audit traceability. This opportunity appeals to candidates seeking a fully remote position with flexible coverage during US Eastern Standard Time hours, offering the chance to work with cutting-edge clinical technologies in a regulated environment while driving continuous improvement initiatives.

This remote Senior Statistical Programmer role supports a data-focused clinical research organization serving the pharmaceutical and biotech sectors. The position involves generating tables, listings, and graphs using SAS, ensuring compliance with SDTM and ADaM standards, and leading small programming project teams. Key responsibilities include applying the System Development Life Cycle to deliverables, managing data pooling for regulatory submissions, and maintaining adherence to ICH and FDA regulations. The role is appealing due to the company's Great Place to Work certification, exceptional employee retention, and a collaborative, inclusive culture that values individual contributions. The position offers full remote flexibility and opportunities for professional growth within a globally recognized team shaping the future of clinical research.

The Director, Statistical Programming leads the development and maintenance of statistical programming capabilities to meet regulatory obligations within the Biometrics department. Key responsibilities include managing a team of programmers, overseeing CRO and in-house delivery of clinical trial data sets and outputs, and driving process automation including AI integration. The role requires collaboration with statisticians and cross-functional teams to ensure high-quality, timely analysis. This position offers the opportunity to shape the future of programming strategies in a global biotherapeutics leader dedicated to saving lives. The role is based in Waltham, MA, and involves working within a multicultural, international environment that values innovation and inclusion.

The Statistical Programmer II role at Kite Pharma supports the development of innovative cancer immunotherapies within a mission-driven biopharmaceutical team. Key responsibilities include generating statistical analysis datasets and outputs using SAS and R, automating study deliverables through macro development, and collaborating with biostatisticians and clinical teams to ensure regulatory compliance. The position also involves assisting with electronic data submissions to agencies and participating in study audits. This opportunity appeals to candidates seeking to contribute to life-saving treatments in a culture that values inclusion and professional growth. The role is based in Santa Monica, California, and offers a dynamic environment for those passionate about advancing oncology research.

This hybrid role within the Biostatistics and Research Decision Sciences department focuses on leading quality management for regulatory submission data standards in drug and vaccine development. The position involves overseeing SDTM deliverables, coaching project teams, and collaborating with global stakeholders to ensure compliance with CDISC standards and FDA requirements. Key responsibilities include preparing for regulatory meetings, guiding the use of submission tools like Pinnacle 21, and driving continuous improvement of electronic submission processes. The role appeals to professionals seeking to impact global human health through high-level strategic initiatives and cross-functional collaboration. It offers a flexible hybrid work arrangement with opportunities for professional growth in a culture that values innovation and diverse perspectives.

The Biostatistician II role supports clinical research programs by independently leading studies and delivering high-quality statistical analyses. Key responsibilities include developing Statistical Analysis Plans, generating randomization schedules, and creating tables, figures, and listings using SAS. The position requires reviewing protocols, validating programming outputs, and ensuring compliance with regulatory guidelines such as FDA and ICH standards. This opportunity is appealing for professionals seeking to work on Phase 1 trials and early safety endpoints within a collaborative, client-focused environment. The role involves cross-functional teamwork and offers the chance to mentor junior staff while maintaining flexibility in work assignments.

The Principal Statistician role within the Biostatistics team at Jazz Pharmaceuticals leads the design, analysis, and reporting of Phase I to IV clinical studies for oncology and neuroscience therapies. Key responsibilities include developing statistical strategies, creating analysis plans, validating data, and overseeing external vendor deliverables while collaborating with cross-functional teams on regulatory filings. This position offers the opportunity to work remotely within a global organization dedicated to transforming patient lives through innovative medicine. The role appeals to professionals seeking to apply advanced statistical methods in a fast-paced, collaborative environment with a strong focus on scientific impact and professional growth.

This full-time Software Engineer role within Lilly's Medicines Development organization focuses on building AI-powered platforms to accelerate global clinical research. The position sits at the intersection of data, science, and software, requiring the engineer to design and maintain full-stack applications that support clinical trial workflows and statistical computing. Key responsibilities include developing agentic AI tools and LLM-integrated solutions to automate complex tasks, creating secure APIs and data pipelines compliant with GxP regulations, and collaborating with statisticians to translate analytical needs into scalable technology. The role offers the appeal of working on the frontier of applied AI within a mission-driven healthcare environment dedicated to improving patient outcomes. It features a flexible hybrid work model based in Indianapolis, allowing for three days onsite and two days remote to balance collaboration with work-life balance.