Principal Data Scientist
Cytel (company site, opens in a new tab)RemoteDirect career pageEst. 30–55 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead integration and analysis of complex biomedical signals, clinical, and real-world healthcare data to generate reproducible insights for clinical studies.
- Develop and implement advanced signal processing and machine learning models focused on high-frequency physiological and wearable data for clinical applications.
- Build and maintain scalable, high-performance data pipeline systems adhering to best practices and business needs.
Minimum Requirements
- PhD, Masters or Bachelor's degree in computer science, biomedical engineering, mathematics, data science or related discipline.
- Experience in pharmaceutical or healthcare industry with moderate experience in pharmaceutical and biotech consulting including GxP compliance.
- Proficiency in R or Python for machine learning and data analysis, and competence with cloud technologies (e.g., AWS), APIs, relational databases for data integration.
- Work Experience Required: Moderate experience in pharmaceutical and biotech consulting as explicitly mentioned.
Ideal Candidate Profile
- Experienced in advanced analytical techniques combining signal processing, machine learning, and probabilistic modeling specifically applied to biomedical and clinical data.
- Capable of working directly embedded within a pharmaceutical client delivering high-impact technical solutions and maintaining effective stakeholder communication.
- Skilled in software engineering best practices, managing complex healthcare data formats including EHR and wearable data, ensuring compliance and interpretability of models.