Important info

• start of work : 01.09.2024
• submission date : May 31, 2024
• Contract period : fixed-term
• Pay : up to E 14 TVöD
• Location : Wildau
• External ID : 46/24

As a public health institute, we are actively committed to public health. At the Robert Koch Institute, 1,500 people from over 52 nations work and research together on this every day.

Our team ZKI-PH 2 “Phylogenomics” is looking forward to your application!

To ensure that your application is processed promptly, the applications received are regularly evaluated. The application deadline is 31.05.2024 at the latest.

Information about the project can be found on the ZKI-Website (https://www.bundesgesundheitsministerium.de/ministerium/ressortforschung/handlungsfelder/digitalisierung/ai-davis-pandemics.html).

Your job:

Conduct scientific research in the field of phylogenomics with a particular focus on leveraging artificial intelligence for Public Health:

• Work independently on exciting research projects at the interface of public health, evolutionary biology and mathematical epidemiology
• Collaborate across disciplines and departments within the RKI to combine and augment the RKI’s expertise in the research on the evolution and spread of infectious disease agentsg., through:
  • AI-assisted modeling of the evolutionary and epidemiological processes driving public health relevant pathogens
  • Development of AI-supported phylogenomic methods for analysing pandemic data, for example on vector-borne diseases
• Develop novel algorithms/methods, manage and integrate data and provide quality assurance for this work

Preparation of scientific reports and publications, as well as assistance with science outreach/communication activities, e.g.:

• Publication of research results in national and international journals with high impact factor
• Presentation of research results at national and international congresses
• Close cooperation with colleagues in the context of the communication/events & public relations work of the ZKI-PH

Your professional profile:

Formal requirements

• Advance higher education degree (university diploma, master's degree) in a medical, natural sciences or mathematical discipline
• PhD preferred

In the case of foreign educational qualifications, we require a certificate of equivalence with a German qualification.

Skills and experience

• Research experience in artificial intelligence, machine learning, and deep learning in an academic or industrial context
• in the analysis of genomic pathogen data
• in common programming languages
• Experience in quantitative data analysis and in handling complex bodies of data
• Highly developed skills in scientific publishing as well as the presentation of research results
• Language skills (CEFR level): English up to C1, German up to A2 or willingness to acquire further German skills - we support you with language courses

Desirable skills and experience

• Knowledge or experience in public health research/phylogenomics
• Experience in the coordination and/or management of scientific projects
• Experience in presenting complex (scientific) topics in an understandable way
• Knowledge of sources of third-party funding and experience in acquiring funding via this route

Personal skills

• Ability to learn with the aim of constantly keeping one's own knowledge and skills up to date
• Willingness to innovate and openness to changing requirements and developments
• Independence and the ability to work independently according to targets
• Ability to cooperate and work in a team to achieve a joint result
• Service-orientation and responsiveness to business contacts and their needs
• Ability to organise and adhere to deadlines and agreements

Further requirements

• Complete list of publications and list of previous/ongoing externally funded projects with funding details

What we offer

We are committed to equal opportunities in employment. We guarantee equality in the workplace by welcoming all people in all dimensions of diversity. With equal qualifications and aptitude, severely disabled persons are given preferential consideration Within the scope of its supervisory powers, the Federal Ministry of Health may examine application documents on a case-by-case basis. Your data will be deleted after the application process has been completed.

Are you interested?

We look forward to receieving your application for position job ID 1108726 / reference code 46/24 to May 31, 2024 exclusively via interamt.

Apply now on interamt.de

Last modification 11.04.2024