Scientific Employee (f/m/d)

Salary :

€1,800 monthly

Unternehmen : Zuse-institut Berlin

Auftragstyp : Vollzeit

Berlin, Germany

Anzahl der Bewerber

000+

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Arbeitsbeschreibung - Scientific Employee (f/m/d)

Position Details

The position is located within the research group of Dr. Vikram Sunkara / Visual and Data-centric Comuting department and on a part-time basis (75 %, 29,55 hours per week), limited until December 31, 2026. If the applicant meets the relevant wage requirements and personal qualifications, the salary will be based on remuneration group 13 TV-L of the pay scale for the German public sector.

Background & Context

The position is part of an in silico Antibody–Antigen (Ab–Ag) analysis project investigating molecular interactions in the context of rheumatological diseases. The project aims to characterise complex Ab–Ag interactions using computational approaches and to expand existing analytical capabilities for the analysis of multiple antibody–antigen systems.

The successful candidate will work at the interface of bioinformatics, computational biology, and structural biology, contributing to the implementation, optimisation, and scaling of established computational pipelines to support translational research objectives.

Your Tasks

Structural Analysis: Perform detailed biochemical and structural analysis of antibody-antigen interactions to uncover disease mechanisms in rheumatology
Pipeline Innovation: Maintain, optimize, and expand our current in silico Ab-Ag analysis pipeline
Antigen Discovery: Design and implement automated high-throughput antigen search functionalities for specifically prescribed antibodies
High-Performance Computing: Deploy, manage, and scale computational workflows across High-Performance Computing (HPC) clusters
Cross-Functional Collaboration: Translate complex computational findings into actionable insights for downstream experimental validation

Your Profile

Master’s degree (or equivalent experience) in Molecular Biology, Bioinformatics, Computational Biology, or a closely related structural science discipline
Strong foundational background intersecting biochemistry and bioinformatics
Hands-on experience with state-of-the-art structural prediction tools, specifically AlphaFold
Proven expertise running and analyzing Molecular Dynamics (MD) simulations (e.g., GROMACS, AMBER, NAMD)
Demonstrated experience developing and managing HPC pipelines (including bash scripting, workload managers like Slurm, or workflow languages like Nextflow/Snakemake)

What you can expect

We offer a friendly work environment with flexible work and meeting times, excellent equipment and a challenging professional environment

as well as

an active onboarding process to provide new employees with the skills and knowledge that are important to their success in our institute and their careers,
a varied, future-oriented and responsible field of activity,
professional training opportunities and support in professional development,
an additional pension scheme (VBL),
30 days annual leave, flexible working hours (flexitime),
a salary based on TV-L (collective agreement for the public service of the federal states) in accordance with qualifications and professional experience with annual bonus payment,
capital allowance of up to € 150 per month, or alternatively a BVG job ticket plus the remaining balance,
the use of canteens and sports programs of the Freie Universität Berlin (FUB) at reduced rates.

Applicants with disabilities will be given preference if equally qualified. Female applicants are highly encouraged to apply, since women are under-represented in natural sciences and ZIB seeks to increase the proportion of women in this field.

Please apply via our online application form by June 28, 2026.

Contact

For more information about the job, please visit www.zib.de or contact Dr. Vikram Sunkara. (Email: [email protected]).

About us

The Zuse Institute Berlin (ZIB) is an interdisciplinary research institute for applied mathematics and data-intensive high-performance computing. Its research focuses on modeling, simulation and optimization with scientific cooperation partners from academia and industry.

Original job Scientific Employee (f/m/d) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.

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