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Principal Data Scientist
- Workplace Type
- Remote
- Location
- India
- Experience Level
- Senior Level
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.
About Cytel
Pharmaceutical Manufacturing
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.
- Employees
- 1640
- Industry
- Pharmaceutical Manufacturing
- Headquarters
- Cambridge, MA
- Location
- 675 Massachusetts Avenue, Cambridge, MA 02139, US
- Specialties
- Adaptive Clinical Trials, Clinical Research Services, Trial Design and Analysis Software, Statistical Programming, Strategic Consulting, DMC Support, Program and Portfolio Optimization, Clinical Data Management, CV Outcomes Studies, Regulatory Submissions, Real World Analytics, HEOR, Bayesian Clinical Trials, FSP, Project Based Services, and Advanced Analytics
Team
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