OVERVIEW

We are seeking a Senior Data Scientist to lead the design, development, and deployment of our digital twin platform. You will work with multi-disciplinary teams—AI engineers, bioinformaticians, clinicians, and product managers—to create predictive models that translate complex biomedical data into actionable healthcare insights.

REQUIREMENTS:

• Education: PhD or Master’s in Data Science, Computer Science, Computational Biology, Bioinformatics, Applied Mathematics, or related field.
• Experience: 5–8+ years in data science, with at least 3 years in healthcare, biotech, or life sciences.
• Proven expertise in multi-modal data integration and time-series modeling.
• Strong skills in machine learning (supervised, unsupervised, deep learning) using Python, R, or similar.
• Experience with simulation modeling frameworks (e.g., agent-based models, systems biology modeling, digital twin architectures).
• Familiarity with biomedical ontologies, EHR/EMR systems, and FHIR/HL7 standards.
• Strong understanding of clinical trial design, regulatory requirements, and model validation in healthcare.
• Excellent problem-solving skills, with the ability to translate complex scientific questions into computational solutions.

• Lead the development of patient-specific digital twin models integrating genomics, proteomics, metabolomics, imaging, and clinical data.
• Design predictive algorithms for disease progression, treatment efficacy, and adverse event risk modeling.
• Collaborate with data engineering teams to build scalable data pipelines for multi-modal data ingestion and processing.
• Develop simulation frameworks to test intervention strategies before real-world application.
• Implement machine learning and computational modeling techniques for real-time decision support.
• Work closely with medical experts to ensure models are clinically relevant, explainable, and regulatory compliant.
• Mentor junior data scientists and establish best practices for model development and validation.
• Publish results and contribute to thought leadership in digital twin and precision medicine research.