Asst. Manager (AI & Data Analytics) GDO (3-year contract)

Public Service Division • Full-time • Aberdeen City, Scotland, United Kingdom • 3d ago

[What the role is]

We are seeking a highly motivated and skilled Assistant Manager for AI & Data Analytics to support the Group Director's Office (GDO) under Applied Sciences Group of HSA. The candidate will primarily focus on AI/machine learning applications and data integration projects across forensic and analytical laboratories, providing advanced technical expertise and recommendations to senior management. The ideal candidate should have strong AI/ML background, data integration experience, and the ability to work collaboratively with cross-functional laboratory teams.

[What you will be working on]

To develop and deploy AI/machine learning solutions for diverse laboratory applications across forensic and analytical sciences, including but not limited to automated data interpretation, voice-to-report generation, pattern recognition, predictive modelling, and intelligent workflow optimisation, and chromatographic interpretations.
To design and implement data integration solutions connecting LIMS data, instrument data, and external databases to create unified data ecosystems for analytical insights.
To automate manual laboratory workflows using Python/R scripts and develop process optimisation solutions to enhance efficiency and reduce manual intervention in routine tasks.
To create and manage dashboards and data visualisations using tools such as Tableau, Power BI, or similar platforms, ensuring clean and structured data presentation for both technical and nontechnical stakeholders.
To provide centralised data analytics support to all laboratories, bridging the gap between ad hoc data analysis and systematic expertise.
To manage cloud-based analytics data architecture and AI deployment pipelines for scalable machine learning solutions and maintain version control systems for collaborative development.

[What we are looking for]

Essential:

Background in computer science, data science, statistics, mathematics, or related field with strong AI/ML focus
3 to 5 years of hands-on experience in machine learning and AI applications
Proficiency in Python and R for data analysis and ML model development
Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
Strong experience in data integration from multiple sources and systems
Experience with SQL for data extraction and database management
Knowledge of data visualisation tools (Tableau, Power BI, or similar)
Ability to work collaboratively across multiple laboratory divisions

Advantageous to have:

Experience with computer vision, natural language processing, and generative AI technologies
Familiarity with laboratory information management systems (LIMS) in analytical/forensic environments
Experience with cloud platforms (AWS, Azure, Google Cloud) for ML deployment
Knowledge of MLOps practices including Docker, Kubernetes, and CI/CD pipelines
Experience with big data technologies and data warehousing solutions
Understanding of forensic science or analytical chemistry applications
Experience with laboratory information management systems (LIMS) in the hospital, biopharma, or chemical testing industry

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