Job Title: Senior Data Scientist – Digital Twin

Location: USA, Remote

Employment Type: Full-time

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.

Key Responsibilities

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.

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.

Nice to Have

Experience in precision medicine, pharmacogenomics, or drug discovery pipelines.
Familiarity with cloud computing (AWS, GCP, Azure) and MLOps best practices.
Publications or conference presentations in digital twin, predictive healthcare, or computational biology.

What We Offer?

Competitive salary and growth opportunities.
Availability for relocation is offered
The opportunity to drive innovation in the personalized medicine space.
Access to cutting-edge research, data, and tools.
A collaborative and forward-thinking environment where your ideas can make an impact.

How to Apply:

If you are passionate about supporting a high-performing team in an exciting, fast-paced industry, we’d love to hear from you! Please submit your CV along with a cover letter detailing your relevant experience and why you believe you’d be a great fit for Prepaire.

Job Type: Full-time

Pay: $10,000.00 - $15,000.00 per month

Work Location: Remote

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Senior Data Scientist – Digital Twin

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