An experienced Principal Data Scientist specializing in signal processing, ML and clinical data science to support clinical studies and health research.
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. You will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.
As a Principal Data Scientist, your responsibilities will include:
- Identify, access, and integrate diverse data sources, including clinical study data, observational data, and real-world healthcare datasets, ensuring high-quality data extraction and pre-processing.
- Develop and implement signal processing methods for data curation and feature/pattern extraction from longitudinal data, with particular focus on high frequency data (e.g., electrophysiological and wearable signals), for clinical and research applications.
- Develop and implement machine learning model for clinical applications, including disease phenotyping, and predictive modelling.
- Apply advanced computational techniques such as time-series analysis, feature engineering, and probabilistic modeling to enhance biomedical data interpretation.
- Develop and maintain scalable, high-performance data pipelines systems that align with business needs and industry best practices.
- Validate and benchmark machine learning models against established state-of-the-art methods, ensuring clinical relevance and interpretability.
Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:
- PhD/Masters or Bachelor’s degree in computer science, biomedical engineering, mathematics, data science or a related discipline.
- Experience within the pharmaceutical or healthcare industry
- Good written and verbal communication skills, including the ability to write technical reports, and concise summaries of complex findings.
- Proven expertise in advanced analytical research techniques, including machine learning and signal processing, particularly in biomedical/clinical data applications.
- Proficient in R or Python, with hands-on experience in machine learning and data analysis.
- Proficiency with data extraction and integration techniques, including APIs, relational databases, cloud-based solutions, ensuring seamless access and transformation of clinical, observational, and healthcare data.
- Proficiency with software engineering best practices for version control, reviewing, and testing.
- Competent in the use of cloud based technologies (for example AWS).
- Expertise in handling diverse healthcare data formats, including clinical data standards, electronic health records (EHR), electrophysiological signals, and wearable device data, ensuring compliance with industry best practices.
- Moderate experience in pharmaceutical and biotech consulting, ensuring alignment with GxP compliance, regulatory guidelines.
- Strong proficiency in data visualization, including R Shiny, Matplotlib, and interactive dashboard tools, to support clear, data-driven decision-making.
- Maintaining effective client communication and stakeholder engagement, ensuring timely updates, well-documented requirements, and alignment with business objectives.
- Ability to make timely decisions on technical project issues.
Skills Required
- Bachelor’s, master’s, or PhD in computer science, biomedical engineering, mathematics, data science, or a related discipline
- Experience within the pharmaceutical or healthcare industry
- Strong written and verbal communication skills, including technical reporting and concise summaries
- Expertise in advanced analytical research techniques, machine learning, and signal processing for biomedical or clinical data
- Proficiency in R or Python, machine learning, and data analysis
- Proficiency with data extraction and integration using APIs, relational databases, and cloud-based solutions
- Proficiency with software engineering best practices, including version control, code review, and testing
- Competence with cloud-based technologies such as AWS
- Expertise handling healthcare data formats, including clinical data standards, EHR, electrophysiological signals, and wearable-device data
- Moderate experience in pharmaceutical and biotech consulting, GxP compliance, and regulatory guidelines
- Strong data visualization proficiency, including R Shiny, Matplotlib, and interactive dashboards
- Client communication, stakeholder engagement, requirements documentation, and timely technical decision-making
Cytel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cytel and has not been reviewed or approved by Cytel.
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, life and disability, with FSAs/HSAs also available. Plan quality is often characterized as good to excellent, which lifts the perceived value of the overall package.
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Retirement Support — A 401(k) with employer match is consistently part of the benefits package. The plan is also characterized as well managed, contributing to a sense of baseline retirement support.
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Fair & Transparent Compensation — Overall pay is characterized as decent-to-good and broadly competitive in parts of the business, with stronger alignment noted in senior technical tracks like biostatistics and programming. The total package is often framed as respectable rather than premium.
Cytel Insights
What We Do
Cytel enables decision-makers in the life sciences to unlock the full potential of their products. From navigating uncertainty to proving value, Cytel’s 30 years of global expertise in consulting, data-driven analytics, and industry-leading software helps biotech and pharmaceutical companies transform intelligence into confident decisions. We have an uncompromising commitment to scientific rigor and high standards of operational excellence, which are channeled through our locations in North America, Europe, the United Kingdom, and Asia. Together, we enable our clients to deliver the therapies that propel humanity forward. Cytel employs a range of data science tools from biostatistics to machine learning to help executives in the life-sciences to make confident decisions powered by data. We are probably best known for being leaders in the field of adaptive clinical trial design, a subset of trial design that uses interim looks to enhance the patient safety and commercial value of pharmaceutical products. We also have specialists in Bayesian statistics, real world evidence, artificial intelligence, health economics, and a number of other research fields to ensure that academic and scientific findings can have impact on industry quickly and seamlessly. www.cytel.com
