Senior Environmental Data Scientist

Abu Dhabi, United Arab Emirates

2025-4667

Overview

M42 is a first-of-its-kind, global tech-enabled health company, headquartered in Abu Dhabi. We combine unique medical and data-centric technologies with deep clinical expertise to drive innovation and deliver world-class healthcare solutions. At M42, we are committed to pushing the boundaries of science and technology to improve lives across communities, the environment, and future generations.

The Senior Environmental Data Scientist, will spearhead the design, development, and deployment of AI-driven digital solutions that address pressing challenges in air quality, wastewater surveillance, climate resilience, and biodiversity monitoring. This role bridges scientific operations, advanced data analytics, and digital innovation, ensuring delivery of impactful products that shape public health, sustainability, and policy outcomes.

Responsibilities

AI & Product Development

Design, develop, and validate AI/ML models for environmental data analysis, prediction, and decision support.
Translate complex scientific and regulatory requirements into scalable AI-driven solutions.
Collaborate with experts in microbiology, chemistry, genomics, and environmental sciences to ensure product accuracy and relevance.
Deploy explainable and reliable AI tools that integrate multi-source datasets, including laboratory, IoT sensor, and field data.
Help grow the Digital EVS portfolio

Data Strategy & Analytics

Lead the acquisition, curation, and harmonization of diverse environmental datasets.
Build scalable data pipelines and infrastructure for real-time monitoring and predictive modeling.
Develop dashboards and visualization platforms to support scientists, policymakers, and other stakeholders.
Ensure compliance with international standards in data ethics, governance, and regulatory frameworks.

Cross-Functional Collaboration & Engagement

Partner with internal teams (lab scientists, engineers, clinicians, business development) to align AI solutions with organizational goals.
Collaborate with regulators, research institutions, and government agencies on joint initiatives and policy-driven projects.
Present technical proposals and insights to both technical and non-technical audiences, including executives, clinicians, and policymakers.
Represent M42 in global forums, conferences, and collaborations related to AI, public health, and environmental innovation.

Project Management

Design/collate Business requirements/documents
Define Project Scope and Objectives
Plan Data Acquisition and Preparation
Coordinate Model Development and Evaluation
Manage Stakeholder Communication
Ensure Compliance and Deployment Readiness

Qualifications

Minimum Qualifications

Advanced degree (MSc or PhD) in Data Science, Artificial Intelligence, Environmental Sciences, Computational Biology, or related field.
Proven experience in designing and deploying AI solutions within scientific, environmental, or healthcare contexts.
Proficiency in programming languages such as Python and or R, with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Strong knowledge of environmental datasets (e.g., wastewater surveillance, air quality monitoring, biodiversity studies).
Experience with data visualization platforms (e.g., Power BI, Tableau, Dash) and real-time monitoring tools.
Solid understanding of data governance, ethics, and regulatory compliance.

Preferred Qualifications

Experience leading cross-disciplinary projects involving environmental sciences, public health, and digital innovation.
Demonstrated track record of publishing or presenting applied AI research in peer-reviewed journals or global conferences.
Familiarity with UAE regulatory frameworks and international sustainability initiatives.
Strong stakeholder management and science communication skills.

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