The Senior Manager, C&SP Methodology is a highly experienced technical and team leader with an in-depth understanding of clinical and/or statistical programming processes, tools/systems and strong project and team leadership skills. This position is accountable for influencing, shaping and developing technical and process strategy and solutions that deliver increased quality, efficiency, and innovation solutions within the functional area.
Locations (3)
Raritan, New Jersey, United States
Spring House, Pennsylvania, United States
Titusville, New Jersey, United States
Compensation
The anticipated base range for this position is $140,000.00 - $241,500.00
Responsibilities
Providing strategic technical leadership and expertise in roles that directly support Clinical and Statistical Programming Therapeutic Area / assigned group, research and innovation in emerging spaces, including AI, and/or standard tools development.
Strategic partnering with leads, user community and departmental/external stakeholders to identify innovation, automation and continuous improvement opportunities.
Proposes, evaluates and develops solutions and strategies that drive competitive advantage.
Applying a strong customer focus to evaluate stakeholder needs/requirements, thinking broadly end-to-end and deliver relevant solutions, in alignment with departmental technical strategies.
Leading complex departmental innovation and process improvement projects.
Lead and manage statistical programming projects for clinical studies, ensuring quality deliverables and process improvement.
Compensation
The annual base salary range for the Senior Manager, Statistical Programming is from :$138,800-$182,200. Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan.
Responsibilities
Manage statistical programming projects
Develop and review SAS code and datasets
Create summary tables, graphs, and listings
Review statistical analysis plans
Collaborate with Biostatistics, Data Management, Clinical Ops
Lead statistical programming projects supporting multiple studies across therapeutic areas, owning the programming lifecycle from inception to submission.
Compensation
The annual base salary range for the Senior Manager, Statistical Programming is from :$138,800-$182,200. Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan.
Responsibilities
Manage one or more statistical programming projects, working closely with cross functional teams and vendors to ensure timely delivery of high quality output
Develop and review codes, create datasets and summary Tables, Graphs, and Listings (TLGs) to summarize the data as per Statistical Analysis Plan
Review statistical analysis plans for own projects and contribute to implementation
Collaborate cross functionally with teams like Biostatistics, Data Management, Clinical Ops etc. to ensure accuracy of datasets and summary, resolve any issues in project implementation and act as a representative of statistical programming team in study team meetings
Participate in the identification and selection of external partners/ vendors and monitor the quality of deliverables
Provide technical leadership, mentorship and quality assurance to strengthen subnational data use and decision science as part of Collaborative Surveillance.
Compensation
The salary for this role is competitive and set according to national labor rates for the NGO sector in Nigeria.
Responsibilities
Provide technical leadership and guidance for implementation of data use, epidemic-intelligence, and decision-science activities within subnational Collaborative Surveillance
Engage state directors, surveillance leaders, PHEOC managers and other decision-makers to identify and prioritise information needs
Develop and deliver structured capacity-strengthening activities in epidemiological analysis, R, data visualisation, interpretation and reproducible reporting
Provide hands‑on mentorship and accompaniment to AFENET, state government and partner staff to strengthen their skills in data management, data pipeline development and analysis
Lead or support co‑design processes to prioritise and develop state‑specific information products
Requirements
Master’s degree in epidemiology, biostatistics, data science, public health, health informatics or a related field
Seeking experienced Senior Statistical Programmers to join the Biometrics Partnership to deliver statistical programming activities across clinical studies, supporting analysis, and regulatory submissions.
Locations (4)
Johannesburg, Gauteng, South Africa
Kenya
Poland
Hungary
Responsibilities
Develop, validate, and maintain complex SAS and R programs for clinical trial analysis and reporting
Lead statistical programming activities for assigned studies, ensuring high-quality and timely delivery
Create and review ADaM datasets, Tables, Listings and Figures (TLFs), and associated programming specifications
Conduct descriptive and diagnostic analyses of workforce data to surface trends, anomalies, and actionable patterns, apply hypothesis testing, correlation analysis, and regression techniques, extract, join, transform, and validate data from enterprise data warehouse and HR systems using SQL, translate business questions into structured analytical approaches and deliver end-to-end analyses, communicate findings clearly to HR and business stakeholders, partner with HR functions throughout the lifecycle of analytics initiatives, ensure the integrity, accuracy, and confidentiality of highly sensitive workforce data.
Compensation
$80,000 - $128,000. This represents the typical salary range for this position.
Responsibilities
Conduct descriptive and diagnostic analyses of workforce data to surface trends, anomalies, and actionable patterns
Apply hypothesis testing, correlation analysis, and regression techniques and other methods to answer workforce questions with rigor
Extract, join, transform, and validate data from enterprise data warehouse and HR systems using SQL
Translate business questions into structured analytical approaches and deliver end-to-end analyses from scoping through presentation
Communicate findings clearly to HR and business stakeholders, including visualizations, written summaries, and presentations
Requirements
Bachelor's degree in a quantitative field
Master's degree in a relevant field
Nice to have: people analytics
Nice to have: organizational behavior
Nice to have: industrial-organizational psychology
Lead and/or support statistical analyses, data transformation, interpretation, and reporting for Phase I-IV clinical trials.
Contribute to the analysis of clinical registries, observational studies, and real-world data sources.
Develop and implement data science solutions to support drug development, regulatory submissions, and evidence generation.
Collaborate with cross-functional stakeholders including Clinical Development, Regulatory Affairs, Pharmacovigilance, Medical Affairs, and Global Development teams.
Ensure statistical deliverables are scientifically sound, regulatory compliant, and delivered according to timelines.
Research Assistant Professor in the Department of Informatics and Health Data Science (DIHDS) and Media Innovation Lab (MIL) at the University of Miami, responsible for conducting research, publishing findings, developing bioinformatics tools, and supporting grant applications.
Responsibilities
Conducts basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations
Collaborates with senior staff to publish findings in refereed journals
Creates and conducts experiments and analyzes results
Works with other researchers to use and develop end products
Writes extramural proposals with approval from appropriate senior staff
Requirements
Ph.D., M.D. or other doctoral level degree relevant field
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