Research Associate (PhD student) (m/f/d) / 13761 / Department of Endocrinology, Diabetes and Metabolism (Biologist/Biologin)

Research Associate (PhD student) (m/f/d) (Pay group: EG 13 TV-L) Area of application: Department of Endocrinology, Diabetes and Metabolism Job ID: 13761 Start date: Earliest possible date Extent: Part-time / 25.025 hours Contract type: Fixed-term Duration: 31.08.2030 according to § 2 Abs. 1 WissZeitVG

Your tasks:

The PhD project at the Department of Endocrinology, Diabetes and Metabolism will focus on bioinformatics and the application of artificial intelligence (AI) in endocrinology. Potential research areas include thyroid hormone action in patients with rare and common diseases or identification of prognostic biomarkers in endocrine tumors such as thyroid, pituitary or neuroendocrine neoplasia.

Depending on the specific project, the research will involve either computational analyses of clinical and patient-derived data using bioinformatics and AI approaches or experimental studies using tissue and animal models to investigate cell signaling, molecular biology, and immunobiology.

All projects have a strong translational focus, aiming to bridge fundamental biological discoveries with clinically relevant applications in endocrine diseases. The successful candidate will be affiliated with the BIOME Graduate School, which provides outstanding opportunities for scientific training, professional development, and interdisciplinary collaboration.

You will present your research findings within the stimulating interdisciplinary environment of the Center of Endocrine Medicine, as well as at national and international conferences.

Your profile:

We are looking for a highly motivated candidate who:

• Holds a Master's degree (or equivalent Diploma) in bioinformatics, computer science, life sciences, biomedical sciences, or a related field (e.g., cell biology, biochemistry, molecular biology, or medical biology).
• Has a strong interest in pursuing a challenging and multidisciplinary PhD project with high clinical relevance.
• Has experience in bioinformatics, computational biology, data science, or AI applications (preferred, depending on educational background).
• Experience with animal research is considered an advantage but is not essential.
• Is team-oriented, highly motivated, well-organized, able to work independently, and possesses excellent written English skills

Look forward to:

• Admission to the interdisciplinary graduate program BIOME at the UME.
• A secure job in the public service of the state of NRW
• Fair pay according to collective agreement (TV-L) incl. annual special payment and company supplementary pension scheme
• 30 days of vacation per calendar year (based on a 5-day week)
• Interdisciplinary work with colleagues from other departments
• Working with modern equipment and certified quality standards
• Family-friendly corporate culture, e.g., company daycare center, holiday program for school-aged children, advice and support from the Department of Family & Health in all life situations
• Diverse training and further education opportunities, e.g., in the Bildungsakademie of the UK Essen
• Health management, e.g., occupational reintegration management, vaccinations, promotion of sports offers
• Attractive additional benefits, e.g., discounted canteen meals, community events, dormitory places

Framework conditions: The classification depends on personal and collective agreement requirements. Severely disabled applicants and those of equivalent status within the meaning of § 2 Abs. 3 SGB IX will be given preferential consideration if equally qualified. UK Essen aims to increase the proportion of women in areas where women are underrepresented. You are encouraged to apply and will be given priority in the sense of the LGG if qualifications are equal. A certificate according to §23a Infektionsschutzgesetz (IfSG) regarding vaccination and serostatus for measles is required.