Head of the Department of Biostatistics, Data Management and Veterinary AI of the BVL (m/f/d)

The Federal Office for Consumer Protection and Food Safety (BVL) is a modern service authority with diverse tasks in risk management and seating in Berlin and Braunschweig. Our primary objective is to ensure safe means of living for all and the protection of consumer health. We need your support as Head of Unit Biostatistics, Data Management and Veterinary AI (m/w/d).

ID and application deadline: 334/2026/1, 03.03.2026 Organisational unit: Unit 334: Biostatistics, Data Management and Veterinary AI Number of places: 1 Location: Berlin Duration of employment: 1 September 2026 Payment: Insulation: E 15 TVöD Bund, Tariff West A 15 BBesO

Scope of employment: full-time or part-time

Head of Unit 334 ''Biostatistics, Data Management and Veterinary AI'' with professional and personal responsibility Obtaining professional leadership tasks of Unit 334, in particular:scientific leadership, guidance and further development of an interdisciplinary team of veterinarians, statisticians and IT and data experts technical control and coordination of biostatistic evaluations in the evaluation of studies to demonstrate the efficacy, safety, user and consumer safety of medicinal products Ensuring veterinary and regulatory correct interpretation of statistical analyses and AI-based evaluations technical designing, controlling and accompanying AI projects with veterinary medical reference, including evaluation of validity, traceability and regulatory feasibility Answering requests or receipts and expert advice from third parties, such as the relevant ministries, national authorities, media representatives, professional associations, applicants, etc.

Participation in national and international (European and beyond) bodies

a completed academic degree (Master, University Diploma, State Examen) in the field of biostatistics, pharmacy or veterinary medicine or a comparable degree and a completed doctorate comprehensive knowledge of biostatistics, biostatistic and mathematical-statistic analyses in the assessment of preclinical and clinical studies comprehensive knowledge in the field of digitalization and artificial intelligence in medicine or veterinary medicine Ability to independent scientific work, proven by doctoral studies and peer review publications proven ability to carry out management tasks, very good knowledge and experience in the application of various management instruments comprehensive knowledge of relevant national and EU legislation and scientific guidelines A certificate of recognition of the degree in Germany and/or the equivalence with a German degree required. You can find information on the website of the Central Office for Foreign Education (ZAB). What requirements should you also meet? very good English language skills in word and writing comprehensive knowledge and experience in project and process management, ideally for complex, interdisciplinary projects practical experience in work in national and international bodies, working groups or committees, including voting and decision-making Experience on the development and implementation of administrative processes very good work organization, capacity for structured work and targeted planning strong communication capability and good enforcement capability Decision competence

an interesting, versatile and demanding task in the heart of Berlin a safe job Extensive training opportunities for further development in the context of your tasks Compensation including special annual payment under the public service collective agreement (TVöD) (see, for example, BVA remuneration calculator); In the case of professional experience, an assignment to a higher level of experience within the remuneration group is possible. occupational pension schemes (VBL), additional annually variable, performance-related pay for collectively employed and asset-effective benefits Jobticket incl. Grant and very good connection to the public transport network lived work-life balance allows the reconciliation of family, care and work: many variations of parttime are offered mobile work is possible flexible working times between 06.00 and 20.00 in the sliding time system 30 days of recreational leave per year and working days on 24 and 31.12. Possibility of using additional time compensation days at time balances