Independent Research Group Leaders (f / m / d)

Frankfurt Institute for Advanced Studies (FIAS); Frankfurt; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

A leading research institute in Frankfurt is seeking a group leader in computational biology to develop innovative research programs. Candidates should have a strong background in mathematical modeling, AI, and machine learning. The role includes collaborations on major scientific projects and the development of frameworks for data-driven discovery. This opportunity offers a competitive salary, funding for PhD candidates, and a commitment to diversity and inclusion. Interested applicants should submit their applications by January 18, 2026.

Leistungen

Funding for PhD candidates

Access to advanced research infrastructure

Support for professional development

Qualifikationen

• PhD in Life Sciences or a related field is required.
• Experience in mathematical modeling and computational frameworks is essential.
• Strong background in AI and Machine Learning for data analysis.

Aufgaben

• Develop a competitive research program in computational molecular biology.
• Collaborate with research consortia and contribute to open science initiatives.
• Model biological and biochemical systems using advanced computational techniques.

Kenntnisse

Mathematical modeling

Computational frameworks

AI and Machine Learning

Large Language Models

Structural Biology integration

Ausbildung

PhD in Life Sciences or related field

Tools

Python

Statistical software

Computational biology tools

Jobbeschreibung

We offer

A competitive group leader salary and appointment for 5 years, funding for two PhD students, and running costs. Co-affiliation with Goethe University Frankfurt will be considered. Successful candidates will be based at FIAS and integrated into the SCALE Cluster and the vibrant Research Campus Riedberg, that offers advanced infrastructure for computational biology.

We expect

The successful candidates are expected to participate in further developing their scientific programs by pursuing fundamental research using theoretical methods in the molecular cell biology and life sciences. Research that aligns with the objectives of local research consortia on Cellular Biophysics, RNA Biology, Macromolecular Complexes, Membrane Biophysics, Organelle Biology, Neurological Disorders, Bacterial Cell Envelope or Self‑organizing principles of subcellular organization is considered a benefit. A collaborative and open‑science attitude is expected.

We expect candidates to establish an innovative and internationally competitive research program in at least one of the following areas :

Modeling Biological and Biochemical Systems : Development of mathematical, multi‑scale and agent‑based models to link molecular and cellular behavior. Integration of experimental data (omics, imaging, spectroscopy) into predictive computational frameworks. Application of advanced computational techniques — finite element modeling, triangulated meshes, modeling of protein‑protein or protein‑RNA interactions, and statistical inference to explore emergent properties in living systems.

AI and Machine Learning for Data‑Driven Discovery : Design and training of deep learning and generative models to analyze large‑scale imaging and omics datasets. Application of AI to automate pattern recognition, structure reconstruction, and hypothesis generation. Application of cutting‑edge machine learning to uncover new insights into molecular and subcellular organization.

Large Language Models and Human‑Machine Interaction : Development of LLM‑based tools that translate natural language queries into computational workflows. Creation of interfaces enabling non‑programmers to simulate, analyze, and interpret biological data seamlessly. Integration of LLMs with existing scientific computing and molecular simulation frameworks.

Integrative Structural Cell Biology : Integration of Structural Biology and Software Engineering. Integration of multimodal datasets (X‑ray, Cryo‑EM, VolumeEM, super‑resolution, single‑molecule spectroscopy, spatial Omics) for comprehensive molecular modeling. Development of visualization, analysis, and data management software to support large collaborative studies.

Digital twins

Conceptional research on the generation of digital twins. Application and evaluation of digital twins in life sciences. Research on interfaces between cells and informatics. Computational prediction and control of cellular behavior.

General

FIAS and SCALE are committed to fostering a workplace culture that promotes equality, diversity, and inclusion. We strongly encourage applications from qualified individuals regardless of gender, nationality, ethnic or social origin, religion, disability, age, or sexual orientation. Severely disabled persons with equal qualifications will be given priority.

Please submit your application including CV, research statement of past achievements and future plans (no more than 4 pages) and a list of annotated top 5 publications by Jan 18 2026 via our online portal at : https : / / jobapplication.hrworks.de / ?companyId=amb4af72&id=ff8ea3

Potential candidates will be invited for a presentation and interview on March 2, 2026 and are welcomed to participate in the Giersch International Conference & SCALE Kick Off Symposium 2026 : https : / / indico.global / event / 16174 /

For further questions, please contact

Scientific issues

Prof. Dr. Roberto Covino ([e-mail])

Administrative issues

Meike Taplik ([e-mail])

Frankfurt Institute for Advanced Studies (FIAS)

Ruth‑Moufang‑Str. 1, 60438 Frankfurt am Main