Location: Oman
Employment Type: Full-time

KalSoft is currently looking for an experienced Senior Biodiversity Data Management Specialist to join our team. This role is ideal for professionals with strong expertise in biodiversity science, species taxonomy, ecological classification, environmental reporting, and biodiversity data governance. The successful candidate will play a key role in defining scientific standards, validating biodiversity data, supporting AI-assisted classification processes, and ensuring compliance with national and international biodiversity reporting frameworks.

Key Responsibilities

• Define and maintain the master taxonomy and species reference list aligned with globally accepted scientific nomenclature and classification standards.
• Establish and govern classification rules for biological observations, including species identification confidence levels, synonym resolution, conservation status, threat categories, endemism indicators, and invasive species classifications.
• Develop and maintain habitat, ecosystem, and ecological classification frameworks in accordance with international biodiversity standards.
• Define biodiversity indicators, including calculation methodologies, units of measurement, data sources, baseline values, target thresholds, and reporting requirements.
• Review and validate AI-assisted species classification outputs from camera traps, acoustic monitoring systems, eDNA analysis, and other biodiversity monitoring technologies.
• Establish confidence thresholds and scientific validation procedures for AI-generated species identifications prior to inclusion in official system records.
• Map biodiversity reporting obligations to BDMS data models, indicators, and reporting templates while maintaining regulatory compliance matrices.
• Ensure compliance with international biodiversity frameworks and conventions, including CBD, GBF, IPBES, Ramsar Convention, CITES, and CMS.
• Review scientific reports, analytical outputs, dashboards, and publications to ensure accuracy, integrity, and proper interpretation of biodiversity data.
• Supervise the preparation, validation, and quality assurance of datasets used for AI/ML model training and evaluation.
• Contribute to AI/ML model evaluation by reviewing precision, recall, confidence scores, and documented model limitations.
• Develop and maintain the BDMS Scientific Standards Manual, including field data collection protocols, species identification guidelines, validation rules, and data quality standards.
• Provide technical guidance and training to field teams, researchers, and data collectors on biodiversity observation methods, recording standards, and BDMS tools.
• Collaborate with environmental scientists, ecologists, conservation specialists, data analysts, and technology teams to ensure scientific integrity across the platform.
• Support continuous improvement of biodiversity data management processes, standards, and governance frameworks.

Requirements:

• Minimum 8+ years of professional experience in biodiversity management, ecology, environmental science, conservation biology, taxonomy, or a related field.
• Strong expertise in species taxonomy, ecological classification systems, habitat mapping, and biodiversity monitoring methodologies.
• Experience working with biodiversity databases, environmental information systems, or biodiversity management platforms.
• Knowledge of international biodiversity frameworks and reporting standards, including CBD, GBF, IPBES, Ramsar, CITES, and CMS.
• Experience reviewing, validating, and interpreting biodiversity datasets and scientific reports.
• Understanding of AI/ML applications in biodiversity monitoring, including camera trap analysis, acoustic monitoring, eDNA analysis, and species identification technologies.
• Experience defining scientific standards, quality assurance procedures, and biodiversity data governance frameworks.
• Familiarity with biodiversity indicators, environmental reporting, and conservation performance measurement.
• Strong analytical, scientific review, and problem-solving capabilities.
• Excellent documentation, communication, stakeholder engagement, and training skills.
• Bachelor's or Master's degree in Environmental Science, Ecology, Conservation Biology, Biodiversity Management, Zoology, Botany, Wildlife Science, or a related discipline.
• Professional certifications, publications, or contributions to biodiversity conservation programs will be considered an added advantage.