Junior Scientific Expert - Mathematical Modelling
Randstad AB / Kemistjobb / Stockholm
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We are now looking for a new team member for our client ECDC in Stockholm. You will work as a Junior Scientific Expert and support SMS Unit (Scientific Methods and Standards) and in particular the Scientific Process and Methods Section (SPM Section) with a focus on Mathematical Modelling. This is a temporary assignment starting immediately and three months forward. For the right person there is a good chance of extension.
Randstad Life Sciences is specialized in competences within Life Science. As a consultant with us, you get a competitive salary, benefits and collective agreements. Your consultant manager is always there for you and ensures that you get varying and developing assignments at different companies, within different industries. At Randstad Life Sciences, your personal development is in focus, and you are offered a large network and many social activities.
To apply, please submit your resume in the Europass CV format together with a motivational letter of maximum one page explaining which job specific expertise and personal characteristics that you would bring to the job.
ECDC has introduced a hybrid working model with a minimum presence in the office of 2 days/week and you will need to be located in Stockholm or nearby.
Responsibilities:
The interim will report to the Group Leader of the SPM Section.
Your responsibility includes:
Support the ECDC modelling team in the design, development and application of mathematical models to address public health questions
Managing service contracts with external contractors in liaison with procurement and finance sections at ECDC
Critically reviewing relevant and current literature and assess the value for the Modelling Team's work
Maintain, apply, and develop mathematical modelling code for ECDC relevant projects
Contribute to establishing and sustaining mathematical modelling networks within Member States' public health institutes and academic institutions
Building modelling capacity for the use in public health within ECDC and beyond
Competences and experience:
In addition to the profile specification, these specific competences and experience are required for the current assignment:
Education at university level within a scientific field relevant to ECDC's remit (e.g. infectious diseases epidemiology, biomedical sciences, mathematics, applied mathematics, mathematical modelling or related), and first experience acquired in positions relevant to the job description
Either good R statistical language skills or other experience in using coding language to solve modelling problems
Very good MS office skills
Good organisational and time management skills, including communication, documentation and reporting
Very good English language communication skills (spoken and written)
Good scientific writing skills
Experience in collecting (e.g., from peer-reviewed or preprint articles), summarising, critically evaluating and presenting scientific information
Willingness and capacity to work in a small team with multi-cultural and multi-professional background
Selection and interviews will be conducted continuously, with deadline 2023-11-03. The position may be filled before the final application deadline, so please apply as soon as possible.
Responsibilities
Support the ECDC modelling team in the design, development and application of mathematical models to address public health questions
Managing service contracts with external contractors in liaison with procurement and finance sections at ECDC
Critically reviewing relevant and current literature and assess the value for the Modelling Team's work
Maintain, apply, and develop mathematical modelling code for ECDC relevant projects
Contribute to establishing and sustaining mathematical modelling networks within Member States' public health institutes and academic institutions
Building modelling capacity for the use in public health within ECDC and beyond
Qualifications
Education at university level within a scientific field relevant to ECDC's remit (e.g. infectious diseases epidemiology, biomedical sciences, mathematics, applied mathematics, mathematical modelling or related), and first experience acquired in positions relevant to the job description
Either good R statistical language skills or other experience in using coding language to solve modelling problems
Very good MS office skills
Good organisational and time management skills, including communication, documentation and reporting
Very good English language communication skills (spoken and written)
Good scientific writing skills
Experience in collecting (e.g., from peer-reviewed or preprint articles), summarising, critically evaluating and presenting scientific information
Willingness and capacity to work in a small team with multi-cultural and multi-professional background
About the company
Randstad Life Sciences is specialized in competences within Life Science. As a consultant with us, you get a competitive salary, benefits and collective agreements. Your consultant manager is always there for you and ensures that you get varying and developing assignments at different companies, within different industries. At Randstad Life Sciences, your personal development is in focus, and you are offered a large network and many activities.
Randstad Life Sciences specializes in the field of science and is part of Randstad, the world leader in recruitment and consulting with operations in 38 countries. With this global network, in combination with our strong local foundation, we can offer a wide range of varied and developing assignments and jobs for you who are a specialist in life science. Our mission is to help you reach your true potential with your career in focus!
Ersättning Monthly
Så ansöker du Sista dag att ansöka är 2023-11-03
Klicka på denna länk för att göra din ansökan Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "201452845".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Randstad AB (org.nr 556242-1718)
Arbetsplats Randstad
Kontakt Sava Samin
sava.samin@randstad.se Jobbnummer 8211005
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