
Cytel
About the Company
Cytel is the world’s leading data-science CRO, driving advancements in human health through robust analytics and innovative clinical trial software. For nearly four decades, we have set the standard in adaptive trial design, leveraging extensive data insights to inform strategy throughout every phase of drug development and commercialization. Our mission is clear: accelerate drug development, enhance success rates, and deliver better patient outcomes. With a comprehensive suite of services from innovative trial design to end-to-end biometrics and real-world evidence, our specialized, multidisciplinary team ensures optimal strategies for preclinical research, trial execution, market access, and reimbursement.
Headquartered in Cambridge, Massachusetts, Cytel has a global presence with over 2,000 employees across North America, Europe, and Asia. Learn more about how Cytel is harnessing the power of data to advance human health at www.cytel.com.
Listed Jobs


- Company Name
- Cytel
- Job Title
- Senior Computational Statistical Analyst (Deep learning)
- Job Description
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Job Description
We are seeking a highly skilled Machine Learning and Deep Learning Scientist to join our team in advancing the development and analysis of biomarkers. This role involves pioneering the use of AI and advanced computational methods to explore large, complex datasets and uncover insights that drive translational medicine and therapeutic innovation.
Responsibilities
Analyze and interpret biomarker data using machine learning (ML) and deep learning (DL) approaches.
Develop novel models, including neural networks and graph neural networks, to extract meaningful insights from high-dimensional datasets.
Apply deep learning to digitalized scans and imaging data to identify biomarkers and other actionable insights.
Explore and implement innovative methodologies, going beyond traditional biomarkers into new areas of data-driven research.
Conduct statistical analyses and effectively communicate findings to stakeholders.
Collaborate with cross-functional teams across therapeutic areas and all phases of drug development.
Leverage external data sources and integrate them into ongoing research projects.
Qualifications
MS in statistics, computer science, mathematics or other related disciplines
3 to 5 years experience in applying complex statistical or AI/ML models,
with excellent R/Python programming skills,
MS degree, or PhD in statistics or related disciplines.
Good interpersonal and communication skills.
Strong background in machine learning, with expertise in deep learning techniques such as neural networks and image analysis.
Hands-on experience with large datasets, including protein expression data and imaging data.
Proven ability to develop and implement advanced computational methods, including deep learning frameworks for biomarker discovery.
Familiarity with the mechanisms of action of drugs and genomic data is a plus.
Excellent skills in statistical analysis and data visualization.
Prior experience in biomarkers is an advantage but not essential.
Experience in the pharmaceutical industry is not mandatory; a deep understanding of deep learning applications is the primary requirement.
#CYTELINT


- Company Name
- Cytel
- Job Title
- R Developer / R Shiny
- Job Description
-
Job Description
The incumbent provides technical leadership and project management for the development of end to end innovative analytic and reporting web applications, used across the global biostatistics & programming (B&P) user community. Reporting to the Global Head of Analytics and Reporting Tools (ART), and with the support of senior ART team members located across the world, the incumbent leads development, maintenance, and release of R packages and RShiny applications in production with quality and in a timely manner, following regulatory requirements. The incumbent applies hands-on technical expertise in R and Shiny, combined with clinical trial, statistical analysis, APIs, devops tools, Docker/Kubernetes, and cloud environment knowledge to succeed in the development and deployment of innovative statistical reporting solutions. The incumbent serves as a department level expert to interact with IT and support companywide initiatives that have impact on technology related processes, as well as a mentor and train junior level team members and internal resources.
Responsibilities
RESPONSIBILITIES
Work with ART team members, Statistical programmers and Statistician on the development, maintenance, and support of innovative R packages and Shiny applications to support Statistical Analysis on global clinical trial projects.
Collaborate with IT, standard governance, and Quality Assurance for the deployment in production of global innovative reporting applications on premise or in the cloud.
Ensure proper documentation, validations and ensure support is in place for each application following our SOP and regulatory requirements.
Train / Mentor junior ART team members on R package and Shiny application development
Ensure training material and user guide are available for each application.
Provide technical guidance to project teams and users on all matters involving ART applications and tools as needed.
Support department initiatives and task forces. Lead/participate in departmental or cross-functional working groups and process improvement activities.
Identify areas for improvement and recommend solutions related to systems, reporting tools, technologies, and best programming practices.
Actively participate in department working groups, provide input in development of tools applicable to process improvement.
Qualifications
QUALIFICATIONS
Advanced degree in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field, with +5 years of web application development experience
Excellent technical skills with R
Strong knowledge in frontend development: Shiny, JavaScript, Vue.js, Jinja.
Demonstrated experience and strength in developing, maintaining, and deploying web applications and APIs
Demonstrated experience with DevOps tools such as GitHub, GitLab, Jira, Confluence, CI/CD.
Proven experience with relational and non-relational database such as MySQL, Postgres, MongoDB. Extra points for Graph Databases
Demonstrated experience with Computer System Validation in a regulated environment.
Proven experience in the development and execution of project charter, user requirements, functional and design specifications, validation plans, development and implementation, agile software development.
Excellent project management skills. Ability to effectively organize and manage multiple assignments with challenging timelines
Good understanding of drug development and statistical reporting process
Good Knowledge of CDISC standards.
Good understanding of regulatory requirements concerning electronic submission.
Strong understanding of pharmaceutical clinical development (i.e., understanding of statistical concepts, techniques, and clinical trial principles).
Collaborative teamwork and interpersonal skills that demonstrate initiative and motivation. Strong problem-solving skills. Excellent verbal and written communication skills in a global environment.
Experience in collaboration with external partners and/or vendors.
Ability to estimate resource requirement.
Strong communication skills
Extra points for working experience mixing Python and R and with JavaScript, Pandas, NumPy/SciPy, ML package Scikit-learn, and visualization libraries such D3.js, DC
#CYTELINT