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Simulation/Modeling Engineer (Biomedical Focus) - Job Opportunity at CleverLab

Dubai, UAE
Full-time
Mid-level
Posted: July 29, 2025
On-site
AED 22,000 - 30,000 per month

Benefits

Competitive salary structure with growth opportunities providing financial security and advancement potential in the expanding digital health sector
Innovation leadership opportunities allowing direct contribution to personalized medicine breakthroughs and cutting-edge healthcare technology development
Access to state-of-the-art research resources, comprehensive datasets, and advanced simulation tools typically reserved for top-tier research institutions
Collaborative forward-thinking work environment fostering creative problem-solving and cross-functional teamwork essential for breakthrough innovation in healthcare technology

Key Responsibilities

Lead development of sophisticated biomedical simulation systems using industry-standard platforms like OpenSim, GAMA, and Physiome to create transformative digital twin technologies for personalized medicine
Architect critical integration solutions connecting complex simulation outputs with platform frontend systems and data APIs, ensuring seamless real-time patient modeling capabilities
Design and implement advanced mathematical models representing organ systems, metabolic pathways, and treatment responses that directly impact patient care outcomes and clinical decision-making
Execute comprehensive model validation processes using real-world health data and optimize parameters to ensure clinical accuracy and reliability for healthcare applications
Drive performance optimization initiatives for simulation systems, achieving low-latency, high-performance environments essential for real-time clinical applications and patient care

Requirements

Education

Background in biomedical engineering, computational physiology, or related field

Experience

Experience with at least one modeling platform (OpenSim, CellML, SBML, GAMA)

Required Skills

Experience with at least one modeling platform (OpenSim, CellML, SBML, GAMA) Skilled in Python and C++ or Java for model adaptation Strong understanding of numerical simulation, physiological modeling, and systems biology
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Sauge AI Market Intelligence

Industry Trends

The digital twin technology market in healthcare is experiencing unprecedented growth, with the global digital twin in healthcare market projected to reach $21.1 billion by 2025, driven by increasing demand for personalized medicine and precision healthcare solutions. This growth is particularly accelerated by post-pandemic healthcare digitization initiatives and the pressing need for predictive healthcare modeling. Biomedical simulation and computational modeling are becoming cornerstone technologies in modern healthcare, with major pharmaceutical companies and healthcare institutions investing heavily in physiological modeling platforms to reduce clinical trial costs and improve drug development efficiency. The integration of AI and machine learning with traditional simulation approaches is creating new opportunities for more sophisticated and accurate biological modeling. The Middle East, particularly the UAE, is positioning itself as a global hub for healthcare innovation and digital health technologies, with significant government investment in smart city and digital health initiatives. Dubai's strategic location and growing healthcare sector make it an attractive destination for biomedical technology companies seeking to expand their regional presence.

Salary Evaluation

The offered salary range of AED 22,000-30,000 per month (approximately USD 72,000-98,000 annually) is competitive for the UAE market and aligns well with regional compensation standards for specialized biomedical engineering roles. This range reflects the premium placed on rare expertise in physiological modeling and digital twin technologies, particularly in the growing Dubai healthcare technology sector.

Role Significance

Typical team structure would involve working within a 15-25 person interdisciplinary team including data scientists, frontend developers, clinical experts, and product managers. The simulation engineer would likely lead a specialized sub-team of 2-4 modeling specialists while interfacing regularly with broader engineering and clinical teams.
This role represents a mid-to-senior level individual contributor position with significant technical ownership and strategic impact on product development. The engineer will have substantial autonomy in designing and implementing core simulation systems while collaborating closely with cross-functional teams, indicating a role that bridges technical execution with strategic product vision.

Key Projects

Development of organ-specific digital twin models for cardiovascular, respiratory, and metabolic systems to support clinical decision-making and treatment optimization Integration of real-time patient data streams with physiological simulation models to create dynamic, personalized health monitoring and prediction systems Validation and calibration of simulation models using large-scale clinical datasets to ensure accuracy and reliability for regulatory approval and clinical deployment

Success Factors

Deep technical expertise in physiological modeling combined with practical software engineering skills will be crucial for translating complex biological systems into accurate, performant computational models. Success requires balancing scientific rigor with engineering pragmatism to deliver clinically viable solutions. Strong collaboration and communication abilities are essential for working effectively with diverse teams including clinicians, data scientists, and product managers who may not have deep technical modeling backgrounds. The ability to explain complex simulation concepts to non-technical stakeholders will be critical for project success. Continuous learning and adaptation capabilities are vital given the rapidly evolving nature of both biomedical simulation technologies and healthcare applications. Staying current with latest research in computational physiology, simulation platforms, and clinical applications will differentiate high performers in this field.

Market Demand

High demand exists for professionals with biomedical simulation expertise, as the convergence of healthcare digitization, personalized medicine advancement, and computational modeling creates a significant talent shortage in this specialized field. The unique combination of biomedical engineering knowledge and advanced simulation platform experience makes these professionals highly sought after across pharmaceutical, medical device, and healthcare technology sectors.

Important Skills

Critical Skills

Proficiency in biomedical simulation platforms like OpenSim, GAMA, and Physiome is absolutely essential as these tools form the foundation of the technical work. Deep understanding of these platforms' capabilities, limitations, and integration approaches will directly determine the engineer's ability to deliver effective solutions and contribute meaningfully to the team's objectives. Strong programming skills in Python and C++/Java are critical for adapting and customizing simulation models, integrating with existing systems, and optimizing performance for clinical applications. These technical skills enable the translation of theoretical models into practical, deployable healthcare solutions. Comprehensive understanding of physiological modeling and systems biology provides the scientific foundation necessary to create accurate, clinically relevant simulation models. This knowledge ensures that technical implementations reflect genuine biological processes and can produce meaningful insights for healthcare applications.

Beneficial Skills

Experience with cloud computing platforms and distributed simulation systems would be highly valuable for scaling simulation capabilities and supporting real-time clinical applications across multiple healthcare facilities and patient populations. Knowledge of regulatory requirements and validation processes for medical software would accelerate the path to clinical deployment and help ensure that developed systems meet healthcare industry standards for safety and efficacy. Familiarity with machine learning and AI techniques applied to biomedical data would enable more sophisticated model development and the integration of predictive analytics capabilities into simulation systems.

Unique Aspects

This role offers the rare opportunity to work at the forefront of personalized medicine technology, developing digital twin systems that could fundamentally transform how healthcare is delivered and how treatment decisions are made for individual patients.
The combination of biomedical simulation expertise with real-time clinical integration represents a unique technical challenge that bridges pure research with practical healthcare applications, offering exposure to both cutting-edge science and real-world clinical impact.
Working in Dubai's emerging healthcare technology ecosystem provides access to diverse international markets and the opportunity to shape healthcare innovation in a rapidly developing region with significant government support for digital health initiatives.

Career Growth

Progression to senior technical roles typically occurs within 2-3 years with demonstrated impact on product development and technical leadership. Transition to management or principal scientist roles generally requires 3-5 years of specialized experience and proven ability to drive innovation in biomedical simulation technologies.

Potential Next Roles

Senior Biomedical Simulation Engineer or Lead Modeling Engineer positions with expanded technical leadership responsibilities and larger team management scope Principal Scientist or Research Director roles focusing on advanced algorithm development and strategic research direction in computational biology Product Manager or Technical Director positions in healthcare technology companies, leveraging deep technical expertise to guide product strategy and market development

Company Overview

CleverLab

CleverLab appears to be an innovative healthcare technology company focused on developing advanced digital twin systems for personalized medicine applications. The company is positioned at the intersection of computational biology, digital health, and personalized medicine, working to create sophisticated simulation platforms that can model human physiology and disease progression for clinical applications.

As a company developing cutting-edge digital twin technology for healthcare, CleverLab is positioned in a high-growth, high-innovation segment of the healthcare technology market. The focus on personalized medicine and physiological modeling places them in direct competition with both established healthcare IT companies and emerging biotech startups specializing in computational biology.
CleverLab's presence in Dubai positions them strategically within the UAE's growing healthcare technology ecosystem, benefiting from government support for digital health initiatives and access to regional healthcare markets. Dubai's status as a healthcare hub for the Middle East and North Africa region provides significant market opportunity for innovative healthcare technologies.
The company culture appears to emphasize innovation, collaboration, and cutting-edge research, typical of technology companies operating in emerging healthcare sectors. The focus on cross-functional teamwork between simulation, data, and frontend teams suggests a collaborative, fast-paced environment where technical excellence and creative problem-solving are highly valued.
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