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Bioinformatics Technicians
Actuarial Analyst
| Attribute | Bioinformatics Technicians | Actuarial Analyst |
|---|---|---|
| Career area | Computing, Data & Mathematics | Computing, Data & Mathematics |
| What it involves | Apply principles and methods of bioinformatics to assist scientists in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and… | Analyze statistical data, such as mortality, accident, sickness, disability, and retirement rates and construct probability tables to forecast risk and liability for payment of future benefits. |
| Helpful KCSE subjects | ||
| Study routes | ||
| Typical training route | Bachelor's degree or equivalent professional qualification is commonly expected | Bachelor's degree or equivalent professional qualification is commonly expected |
| Entry requirements | Degree mean grade C+. Minimum subjects: MAT A C+; Physics C+; English/Kiswahili C. | Degree mean grade C+. Minimum subject requirement: Mathematics Alternative A C+. |
| Training duration | Degree: about 4 years; diploma: about 2-3 years | Degree: about 4 years; professional actuarial exams continue alongside/after degree |
| Work environment | ||
| Employment type | ||
| Kenya demand | High - strong Kenya relevance; ICT is one of the leading employer-reported skills-demand fields, with added global/remote opportunity. | High - strong relevance to insurance, pensions, risk, banking and analytics; quantitative and professional actuarial skills are highly transferable. |
| Outlook / AI impact | Stable-to-growing / AI-augmented | Stable-to-growing / AI-augmented |
| Professional regulator | No single statutory professional regulator identified for this general title | No single statutory professional regulator identified for this general title |
| Could this suit you? | May suit you if you enjoy solving problems with logic, data or technology; useful strengths include Reading comprehension, Written communication, Listening comprehension. | May suit you if you enjoy solving problems with logic, data or technology; useful strengths include Reading comprehension, Numeracy, Pattern recognition. |
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