{"id":75009,"title":"PhD Position (m/f/d) – Krombach Fellow","company":"Universitätsklinikum der Technischen Universität München AöR","city":"München","region":"Bayern","location":"81675 München","work_model":"unknown","employment_type":"full_time","employment":["fixed_term","thesis"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-11-03T00:00:00+00:00","tools":["Python","R"],"seniority":"unknown","years_experience_min":null,"german_requirement":"not_mentioned","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.4,"method":"rules","language_badge":"Not stated","language_evidence":null,"requirements_snippet":"- Master’s degree (or equivalent) in bioinformatics, statistics, mathematics, computer science, machine learning, human genetics, epidemiology, or a closely related quantitative discipline. - Strong programming skills in Python …","url":"https://www.arbeitsagentur.de/jobsuche/jobdetail/10001-1003951968-S","source":"bundesagentur","description_text":"**PhD Position (m/f/d) – Krombach Fellow**\n\n**Full- or Part-time | Fixed-term (36 months) | Institute of Human Genetics**\n\nJoin an internationally recognized research team investigating the genetic foundations of sleep disorders through large-scale genomic analyses and machine learning. As the Krombach Fellow, you will contribute to a global multi-ancestry research consortium and help advance precision medicine approaches for restless legs syndrome.\n\n**Your responsibilities:**\n\n- Design and conduct genome-wide association studies (GWAS) and large-scale multi-ancestry meta-analyses using international biobank and research datasets.\n- Apply advanced statistical genetics methods to identify and prioritize disease-associated variants, genes, and biological pathways.\n- Develop and benchmark machine-learning models for genetic risk prediction across diverse populations.\n- Integrate genomic, clinical, and functional genomics data to improve the understanding of sleep disorders and their biological mechanisms.\n- Build reproducible, version-controlled analysis pipelines on high-performance computing and cloud platforms.\n- Present research findings within an international consortium and contribute to high-impact scientific publications.\n\n**Your profile:**\n\n- Master’s degree (or equivalent) in bioinformatics, statistics, mathematics, computer science, machine learning, human genetics, epidemiology, or a closely related quantitative discipline.\n- Strong programming skills in Python and/or R to analyze and interpret large-scale genomic and health-related datasets.\n- Solid understanding of applied statistics, including regression models, multiple testing, and causal inference, enabling robust analysis of complex biological data.\n- Experience working with large datasets and high-performance computing environments to manage computationally intensive genomic analyses.\n- Interest in human disease biology and motivation to translate genetic discoveries into clinically relevant insights through collaboration with clinicians and experimental researchers.\n- Excellent written and spoken English skills to communicate findings effectively within an international research consortium and at scientific conferences.\n\n**We offer you:**\n\n- A temporary position with the possibility of extension\n- EGYM well pass, corporate benefits and discounts (e.g. Käfer), cafeteria, sports and cultural offers, company bike\n- Working in the heart of Munich at Max-Weber-Platz with very good accessibility by public transport such as the subway, S-Bahn or tram\n- Company pension plan through the Federal and State Pension Institute (VBL)\n- Self-realization through a varied and technically demanding job with interdisciplinary cooperation between various departments of the TUM Klinikum\n\n**We look forward to your application!**\n\n**For further information, please contact Prof. Dr. Juliane Winkelmann, Tel. [entfernt]**\n\nInstitute of Human Genetics\n\nTUM Klinikum\nRechts der Isar\nIsmaninger Straße 22\n81675 München\n\nIf the candidates’ suitability for the position in question is equal, severely disabled applicants shall be given preference.\nInterview-related costs can, unfortunately, not be reimbursed.","responsibilities_text":"- Design and conduct genome-wide association studies (GWAS) and large-scale multi-ancestry meta-analyses using international biobank and research datasets.\n- Apply advanced statistical genetics methods to identify and prioritize disease-associated variants, genes, and biological pathways.\n- Develop and benchmark machine-learning models for genetic risk prediction across diverse populations.\n- Integrate genomic, clinical, and functional genomics data to improve the understanding of sleep disorders and their biological mechanisms.\n- Build reproducible, version-controlled analysis pipelines on high-performance computing and cloud platforms.\n- Present research findings within an international consortium and contribute to high-impact scientific publications.","requirements_text":"- Master’s degree (or equivalent) in bioinformatics, statistics, mathematics, computer science, machine learning, human genetics, epidemiology, or a closely related quantitative discipline.\n- Strong programming skills in Python and/or R to analyze and interpret large-scale genomic and health-related datasets.\n- Solid understanding of applied statistics, including regression models, multiple testing, and causal inference, enabling robust analysis of complex biological data.\n- Experience working with large datasets and high-performance computing environments to manage computationally intensive genomic analyses.\n- Interest in human disease biology and motivation to translate genetic discoveries into clinically relevant insights through collaboration with clinicians and experimental researchers.\n- Excellent written and spoken English skills to communicate findings effectively within an international research consortium and at scientific conferences.\n**We offer you:**\n- A temporary position with the possibility of extension\n- EGYM well pass, corporate benefits and discounts (e.g. Käfer), cafeteria, sports and cultural offers, company bike\n- Working in the heart of Munich at Max-Weber-Platz with very good accessibility by public transport such as the subway, S-Bahn or tram\n- Company pension plan through the Federal and State Pension Institute (VBL)\n- Self-realization through a varied and technically demanding job with interdisciplinary cooperation between various departments of the TUM Klinikum\n**We look forward to your application!**\n**For further information, please contact Prof. Dr. Juliane Winkelmann, Tel. [entfernt]**\nInstitute of Human Genetics\nTUM Klinikum\nRechts der Isar\nIsmaninger Straße 22\n81675 München\nIf the candidates’ suitability for the position in question is equal, severely disabled applicants shall be given preference.\nInterview-related costs can, unfortunately, not be reimbursed.","status":"open","duplicate_of":null,"first_seen":"2026-11-03T16:20:32.929785+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Python","R"],"posting_language":"en","evidence":[{"language":"english","requirement":"required","quote":"Excellent written and spoken English skills to communicate findings effectively within an international research consortium and at scientific conferences.","source":"rules"}],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-7","english_badge":"English required","company_id":null}