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Job description
At AstraZeneca, all of our employees make a difference to patients’ lives every day. We operate in more than 100 countries around the world and are one of Sweden’s most important export companies.
With more than 2,400 employees from 50 countries, the vibrant Gothenburg site helps to support the entire life-cycle of AstraZeneca medicines, from drug discovery and clinical trials, to global commercialisation and product maintenance. Gothenburg is one of AstraZeneca’s three strategic, global R&D centres, alongside Cambridge and Gaithersburg, and plays a central role in our mission to deliver life-changing medicines to patients.
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.
Working hours
Qualifications
- 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.
Application
About the company