Postdoc in 'artificial Intelligence in Genomics - Berlin, Deutschland - Springer Nature

Springer Nature

Geprüftes Unternehmen

Berlin, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Postdoc in 'Artificial Intelligence in Genomics for Drug Discovery' (f/m/d):

Employer
Berlin Institute of Health in der Charité (BIH)
Location
Berlin (DE)
Salary
Up to TVöD VKA-K EG13
Closing date
6 May 2024
Discipline

Applied Science, Biomedicine
Job Type
Postdoctoral, Researcher
Employment - Hours
Part time
Duration
Fixed term
Qualification
PhD
Sector
Academia- You need to sign in or create an account to a job.

The mission of the Berlin Institute of Health at Charité (BIH) is medical translation: transferring biomedical research findings into novel approaches to personalized prediction, prevention, diagnostics and therapies and, conversely, using clinical observations to develop new research ideas.

The aim is to deliver relevant medical benefits to patients and the population at large. Since 2021 the BIH has been integrated into Charité as its so-called third pillar.

For the Research Group Computational Medicine starting from
May 1st
2024 limited until February 28th
2029 we are looking for a

Postdoc in 'Artificial Intelligence in Genomics for Drug Discovery' (f/m/d)in full-time or part-time (min. 30,00 h/week)

What you can expect:

Integration of different types of 'omic' data for causal interference and prioritization of drug targets and disease mechanisms
Implementation of genetically informed knowledge graphs that synthesize results from largescale genetic association studies with the cellular context of drug targets
Preparation of scientific publications
Training and co‐supervision of Master or PhD students within the group in molecular epidemiology/deep learning techniques

What you bring along:

Completed Ph.

D. in Data Science (deep learning), genetic epidemiology, clinical pharmacology, or a closely related discipline, with a proven track record to write and publish scientific articles

Extensive, demonstrable experience in several of the following areas: 1) Application of DL‐techniques to genetic or clinical questions, including drug target identification 2) Genomescale association analyses using whole‐genome or whole‐exome sequencing data, 3) Development of open access web platforms, or 4) pharmacogenomics
Extensive, demonstrable experience with principal programming languages in HPC or cloud environments (e.g. R or Python)
Aptitude for biological inference and clinical translation
Desirable, useful skills and experience: Protein structural modelling, pharmacogenetics, drug target validation, Bayesian statistics, Mendelian randomisation, cloud computing services, electronic health record linkage
Speaking and writing in English fluently

What we offer you:

A varied job in a forwardlooking research institute
Remuneration up to TVöD VKA-K E 13, taking into account personal requirements
Additional benefits customary in the public sector (including annual special payment, company pension scheme (VBL), capitalforming benefits)
Flexible working hours and the option of working remote
30 vacation days per year (with a fiveday week)
Various support offers to balance work and family life (childcare, cooperation with voiio)
Very good training and further education opportunities
Mobile citizens' office on site
Corporate benefits (travel, leisure, shopping, etc.), Charité Gympass, bicycle leasing or subscription (JobRad, mylo)
Very easily accessible and attractive workplace at Rahel-HirschCenter (Luisenstr. 65, 10117 Berlin)

Proof of measles immunity/measles vaccination is a prerequisite for employment for those born after 1970.

We live diversity