Technical SETA - Systems Biology and Computational Modeling - Remote

Overview

The ideal candidate for this Systems Engineering and Technical Assistance (SETA) position will possess advanced expertise in systems biology and computational modeling, complemented by deep medical and clinical knowledge. This role requires a unique blend of technical, interdisciplinary, and regulatory skills to guide the development of innovative digital health solutions, leveraging AI and digital twin technologies to improve patient care and outcomes.

In Short

• Advanced degree (Ph.D. preferred) in systems biology, computational biology, or a related field.
• Extensive experience modeling complex biological systems.
• Expertise in developing and validating multiscale biological models.
• Proficiency in integrating multi-omics datasets into simulations.
• Strong foundation in human anatomy, physiology, and pathology.
• Experience with clinical datasets, including EHRs and medical imaging.
• Knowledge of digital twin technologies for healthcare.
• Ability to collaborate with interdisciplinary teams.
• Understanding of regulatory frameworks for healthcare technology.
• Excellent organizational and communication skills.

Requirements

• Ph.D. in systems biology, computational biology, or related field.
• 4+ years of experience in project management or related fields.
• Strong technical writing skills.
• Experience in mixed-methods data collection and analysis.
• Knowledge of ethical concerns in using personal health data.

Benefits

• Opportunity to drive innovations in digital health.
• Engagement with cutting-edge technologies in healthcare.
• Collaboration with a diverse team of experts.
• Contributions to personalized healthcare advancements.