OBS! Ansökningsperioden för denna annonsen har
Remote assignment as Training Generalist for AstraZeneca
Hays Life Science is now looking for a Training Generalist for a remote assignment at AstraZeneca. The assignment is initially for 1 year with a possibility to be extended. Send your application already today, no later than November 10th.
The main responsibilities:
* support the organisation of instructor-led training courses offered by the R&D Data Science Learning & Development Team (DS&AI); the current portfolio includes courses on basic programming (R and Python), statistical analysis, machine learning, coding best practices and analytical pipelines for 'omics data (mainly transcriptomics and proteomics);
* contribute to the development of new courses, in bioinformatics and data science related topics, in response to the needs of AZ stakeholders;
* contribute to the development of training materials for both online and in person training and
* conduct technical training on one or more of the above mentioned topics where/if appropriate.
Additionally, they will be involved in:
* supporting our existing trainers in curriculum planning, development and delivery, as appropriate for different courses,
* running training needs analysis to identify unmet gaps and consequently develop training solutions to address such gaps and
* training course evaluation through analysis of trainees' feedback.
* A degree in life sciences, statistics or computer science
* Highly self-motivated
* Excellent organisation, communication and interpersonal skills
* Ability to work well as part of a team.
* Ability to work to tight deadlines is essential.
* Experience in scientific training and education and/or instructional design
* Familiarity with using bioinformatics / data science approaches to solve biological problems
* Experience in training scientists to use bioinformatics / data science tools and/or in the development of training materials or documentation
* Programming experience in either R or Python would be an asset but is not essential.