Post-doctoral researcher (m/f/d)

Universitätsklinikum Jena; Deutschland; On-site; EUR 58,000 - 74,000; Full time

Benefits offered by this job

free continuing education

company pension

health services

family-friendly measure

assistance in apartment

cafeteria

Company-sponsored daycare

Job summary

Jena University Hospital is seeking a highly qualified researcher to contribute to the ERC Starting Grant project 'PerturbPhos'. You will develop ultra-sensitive MS-based phosphoproteomics technologies to study drug effects on tumor proteomes.

Responsibilities include building a scalable phosphoproteomics platform, analyzing large-scale datasets with R or Python, and communicating results across interdisciplinary teams.

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' developing ultra-sensitive MS-based phosphoproteomics technologies.
• 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 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

Phosphoproteomics

Mammalian cell culture

R

Python

Data analysis

Education

PhD in (bio)chemistry, molecular biology, systems biology, or a related field

Job description

Offer Description

Welcome to Jena University Hospital!

We are Thuringia's only university hospital:

Patient care, research and teaching go hand in hand here. We treat more than 520,000 patients every year in our 32 clinics and polyclinics.

Their satisfaction is our goal. This is what our more than 6,800 employees work towards every day.

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:

• Classification is based on TV-L in pay grade E13 if the personal and collective agreement requirements are met
• free continuing education
• company pension
• health services
• family-friendly measure
• assistance in apartment
• cafeteria
• Company-sponsored daycare

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.

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

Specific Requirements

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.

Languages ENGLISH Level Excellent

Research Field Biological sciences

Additional Information

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