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with an additional language (e.g. Perl, Java, C++). Experience of UNIX/Linux, Git and reproducible workflow frameworks (Nextflow, Snakemake, WDL/CWL). Experience of use of open-source bioinformatics
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. On the social side, we have regular coffee/cake mornings for staff, a family-friendly Halloween event, and Christmas and summer parties. As an employer, we genuinely care about our employees’ wellbeing and this
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. On the social side, we have regular coffee/cake mornings for staff, a family-friendly Halloween event, and Christmas and summer parties. As an employer, we genuinely care about our employees’ wellbeing and this
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. On the social side, we have regular coffee/cake mornings for staff, a family-friendly Halloween event, and Christmas and summer parties. As an employer, we genuinely care about our employees’ wellbeing and this
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. On the social side, we have regular coffee/cake mornings for staff, a family-friendly Halloween event, and Christmas and summer parties. As an employer, we genuinely care about our employees’ wellbeing and this
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. On the social side, we have regular coffee/cake mornings for staff, a family-friendly Halloween event, and Christmas and summer parties. As an employer, we genuinely care about our employees’ wellbeing and this
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Epidemiology or related subject or a similar quantitative discipline. Programming skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python
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relevant programming languages (e.g. Dart, Java, C) Knowledge and experience of using database and other relevant software (eg. statistical software such as R, STATA or SPSS) Experience of recruiting people
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skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python. Experience in working with epidemiological or healthcare (or similar) data
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end users Proficient in programming or scripting languages, including Python, C++ and Java Script Ability to work independently on multiple streams of research and collaboratively across multi