- Understanding and effectively working with a wide variety of data sources, with a focus on accelerometry data and wearable devices. The data scientist may work with additional physiological data including with respiration, ECG, EEG voice recordings, video or imaging data, or electronic health records.
- Working with clinicians and researchers to relate study findings to disease biology. Ideally the candidate will have some training in neuroscience or a related field.
- Applying a breadth of data science methodologies as needed for various projects and data types. In particular, this candidate should have significant signal processing skills, ideally including advanced EEG analysis methods that characterize coupling and connectivity across frequencies and brain regions. Projects will also require advanced analytical and statistical methods, such as statistical inference and modern methods for machine learning and AI.
- Identifying and applying state-of-the-art data manipulation and analysis tools, in Python, R or similar languages, to develop bespoke analysis pipelines.
- Independently designing studies, ranging from simple to more complex, and supporting all aspects of projects from data wrangling through to machine learning and statistical analysis.
- Understanding how data science projects fit within client's clinical and preclinical efforts, with the goal of using data science to better understand the patient journey and to help us tailor interventions that maximize patient benefit.
As a Data Scientist, your responsibilities will include:
- Work closely with client's Quantitative Sciences (QS) staff to support program needs in a timely manner.
- Perform end-to-end data analyses, from hypotheses formulation, experimental design, writing analysis plans, data cleaning, executing analysis, and preparing reports and documentation.
- Strengthen client’s advanced analytics toolkit by identifying and applying emerging techniques, as well as by advancing the state of the art and developing novel analysis tools as needed.
- Collaboration with QS staff and their cross-functional collaborators to understand disease biology and to identify or develop appropriate goals for data science work (for example identifying sensitive and specific endpoints for segmenting patient population, tracking disease progression, quantifying quality of life, etc.)
- Work closely with client's statisticians to ensure statistical issues in data analysis are addressed as needed.
- Anticipate and communicate internal and external resource and quality issues that may impact deliverables or timelines of the program. Propose and implement solutions. Escalate issues to management as appropriate in a timely manner.
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:
- Education in a relevant field, for example a) PhD in a field such as Neuroscience, Biostatistics, Physics, Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics with 1-3 years of experience and a clear interest in data science methods, or b) Master’s degree with 3-6 years of relevant experience.
- Expert-level knowledge of data science programming languages (Python and R, or similar) and experience with recommended practices for software development.
- Significant depth of expertise in at least one field relevant to the job (for example, machine learning, signal processing, etc.).
- Ability to work independently on complicated datasets, including all aspects of data analysis (data cleaning, algorithm development, statistical analysis, and documentation).
- Strongly prefer a working knowledge of UNIX operating systems, ideally with experience in high-performance computing environments.
- Excellent oral and written communications skills.
- Strong project management skills.
- Willingness and ability to self-educate in new areas.
- Strong collaborative skills and ability to work with a cross-functional team.
Skills Required
- PhD in Neuroscience, Biostatistics, Physics, Electrical/Biomedical Engineering, Computer Science, Applied Mathematics with 1-3 years of experience OR Master's degree with 3-6 years of relevant experience
- Expert-level programming in Python and R with recommended software development practices
- Significant expertise in at least one relevant field (e.g., machine learning, signal processing)
- Strong signal processing skills, ideally including advanced EEG analysis methods (coupling, connectivity across frequencies/regions)
- Experience working with accelerometry and wearable device data and other physiological data (respiration, ECG, EEG, voice, imaging, EHRs)
- Ability to independently handle all aspects of complex data analysis (data cleaning, algorithm development, statistical analysis, documentation)
- Working knowledge of UNIX operating systems and experience with high-performance computing environments
- Excellent oral and written communication skills
- Strong project management skills
- Strong collaborative skills and ability to work with cross-functional teams
- Willingness and ability to self-educate in new areas
- Experience working with clinicians/researchers and ability to relate findings to disease biology; neuroscience training is ideal
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
