Career Opportunities at Mediclinic

MAIN PURPOSE OF JOB

To oversee the technical team and manage, improve and optimise the technical operations within the facility. To act as the management representative for Quality Management System and Occupational Health Safety.

KEY RESPONSIBILITY AREAS

• Manage the Technical Operations of Corporate Office
• Manage and support technical projects within the Corporate Office
• Manage and mitigate Technical Operations risk within the Corporate Office
• Oversee the management and maintenance of building and equipment
• Oversee and manage on-site contractors at the Corporate Office
• Ensure quality management and continuous improvement within Technical Operations
• Lead and manage the people in the Technical team
• Manage and control department budget / finances
• Sustainability and plant management

REQUIRED EDUCATION

ESSENTIAL EDUCATION: N6, S4, T4 with Mechanical Engineering

DESIRED EDUCATION: N6, S4, T4 with Mechanical (thermodynamics; electro engineering)

REQUIRED EXPERIENCE

ESSENTIAL MINIMUM EXPERIENCE

• Minimum of 10 years’ relevant experience with a minimum of 4 - 6 years’ experience within a hospitality environment with an N6, S4 or T4 qualification

DESIRED EXPERIENCE

• 10 years’ relevant experience with a minimum of 6 years experience HVAC, BMS/SCADA environment with a N6, S4 or T4 qualification

REQUIRED JOB SKILLS AND KNOWLEDGE

• Financial Management and Budgeting
• Use of mechanical tools and machinery
• Technical Operations
• Competent Person as per Occupational Health and Safety Act (OHS) Act 85 of 1993 General Machinery Regulations
• Quality Management
• People Management
• Preventative maintenance
• Report writing
• Project Management
• Operational Standards e.g. LEAN principles
• Fault finding and troubleshooting

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Job Description

The Group is focused on providing specialist-orientated, multidisciplinary services across the continuum of care in such a way that the Group will be regarded as the most respected and trusted provider of healthcare services by patients, medical practitioners, funders and regulators of healthcare in each of its markets.

MAIN PURPOSE OF JOB

To use business data, visualisation and statistical methods to conduct analysis and provide insight and foresight into business performance; suggest analytical approaches and methodologies of improving operational performance; research, design and implement state of the art machine learning solutions to enhance the business.

KEY RESPONSIBILITY AREAS

• Support relevant business stakeholders through the application of advanced analytics, statistical modelling and machine learning
• Maintain and enhance statistical and machine learning models
• Promote the adoption of advanced data science and analytics across the organisation
• Support and leverage data management
• Mentor, develop and advise Data Scientists

Required Education

• B.sc Hons with 7 years relevant experience
• Or Masters Degree with 5 years relevant experience
• Or Ph.D. with 2 years relevant experience

Required Experience

ESSENTIAL MINIMUM EXPERIENCE: relevant working experience in data science building and implementing predictive models

DESIRED EXPERIENCE: Experience in the healthcare industry

Required Job Skills And Knowledge

• Advanced analytics and understanding of machine learning algorithms e.g. Neural networks, boosting methods, clustering and random forest models
• Critical and anlytical thinking skills and inquisitiveness to discover patterns with data
• Data science, mathematics, statistics, curiosity and creative problem solving
• Derive value from analytical output by explaining insights in layman’s terms
• Exceptionally good computer skills and all-around technologically adept
• Knowledge and ability to build and deploy machine learning solutions using open-source and cloud technologies
• Knowledge of the Healthcare industry and related trends
• Managing data-driven projects that drive business value
• Presentation and data storytelling skills (Tableau, SAS Visual Analytics, Power BI) to audiences from all levels of the company
• Programming skills in scripting languages such as SAS, R, Python and SQL