Post-doctoral researcher (m/f/d)

Uniklinikum Jena; Jena; On-site; EUR 60,000 - 76,000; Full time

Job summary

Jena University Hospital in Jena, Germany invites applications for an advanced research position focused on perturbation phosphoproteomics under the ERC Starting Grant project PerturbPhos. You will develop ultra-sensitive MS-based methods and contribute to high-dimensional studies of how drugs alter tumor proteomes in primary cells.

The role requires a PhD and hands-on experience with MS-based proteomics, data analysis in R/Python, and strong written and spoken English.

Qualifications

• PhD in (bio)chemistry, molecular biology, systems biology, or a related field.
• Theoretical knowledge and practical skills in mass spectrometry-based proteomics, ideally with hands-on experience in low-input phosphoproteomics.
• Demonstrated experience with mammalian cell culture and sample preparation for MS analysis.
• Ability to independently develop and troubleshoot MS-based proteomics workflows.
• Prior experience with clinical patient material and/or characterizing small molecule drugs is desired.
• Proficiency in R or Python for analyzing omics datasets, including statistical analysis and integration of multiple datatypes.
• Strong track record of scientific excellence (e.g., high-quality first-author publications), rigorous research practice, and commitment to research integrity.
• Strong ability work and communicate effectively in interdisciplinary teams (clinicians, biologists, bioinformaticians).
• Strong scientific writing and presentation skills in English.

Responsibilities

• Make key contributions to the ERC Starting Grant funded project “PerturbPhos” (Grant agreement ID: 101222284), developing ultra-sensitive MS-based phosphoproteomics technologies to study how drugs affect a patient's tumor proteome.
• Build and optimize a scalable phosphoproteomics platform tailored to high-dimensional perturbation experiments of primary cells.
• Analyze large-scale (phospho)proteomics datasets using R or Python-based computational tools to integrate prior knowledge and characterize drug-induced phosphorylation changes.
• Work and communicate efficiently across inter-professional teams.
• Disseminate project results through presentations and manuscripts.

Skills

Mass spectrometry proteomics

R or Python

Cell culture

MS workflow troubleshooting

Scientific writing

Team communication

Education

PhD in biochemistry/molecular biology

Job description

Primary Duties & Responsibilities:

• Make key contributions to the ERC Starting Grant funded project “PerturbPhos” (Grant agreement ID: 101222284), developing ultra-sensitive mass spectrometry (MS)-based phosphoproteomics technologies to study how drugs affect a patient's tumor proteome
• Build and optimize a scalable phosphoproteomics platform tailored to high-dimensional perturbation experiments of primary cells
• Analyze large-scale (phospho)proteomics datasets using R or Python-based computational tools to integrate prior knowledge and characterize drug-induced phosphorylation changes
• Work and communicate efficiently across inter-professional teams
• Disseminate project results through presentations and manuscripts.

Required Skills & Qualifications:

• PhD in (bio)chemistry, molecular biology, systems biology, or a related field
• Theoretical knowledge and practical skills in mass spectrometry-based proteomics, ideally with hands-on experience in low-input phosphoproteomics
• Demonstrated experience with mammalian cell culture and sample preparation for MS analysis
• Ability to independently develop and troubleshoot MS-based proteomics workflows
• Prior experience with clinical patient material and/or characterizing small molecule drugs is desired
• Proficiency in R or Python for analyzing omics datasets, including statistical analysis and integration of multiple datatypes
• Strong track record of scientific excellence (e.g., high-quality first-author publications), rigorous research practice, and commitment to research integrity
• Strong ability work and communicate effectively in interdisciplinary teams (clinicians, biologists, bioinformaticians)
• Strong scientific writing and presentation skills in English.

We offer you even more:

• Classification is based on TV-L in pay grade E13 if the personal and collective agreement requirements are met.

Reference number: DM20/2026

* Limited to 24 months, with an option to extend

Regardless of origin, age, gender or disability - you are welcome here at Jena University Hospital.