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Jobs / Apheris

Working Student – Finance

Apheris · Germany - RemoteRemotejunior

In short

  • ▸Apoya procesos financieros clave como cuentas por pagar, gastos y nómina en una startup de IA para farmacéutica.
  • ▸Trabajas en equipo internacional, con enfoque en precisión, organización y mejora con IA.
  • ▸Destaca el uso de IA para optimizar procesos financieros en un entorno de datos federados.

Fluent in English and German

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What they ask for

  • ✓Estudiante de máster en Finanzas, Economía o área relacionada.
  • ✓Experiencia práctica previa en finanzas (prácticas o formación).
  • ✓Habilidades avanzadas en Excel y Office.
  • ✓Mentalidad analítica y orientada a soluciones.
  • ✓Iniciativa y capacidad para trabajar de forma autónoma.
  • ✓Fluidez en inglés y alemán.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Microsoft ExcelMicrosoft OfficePayroll systemsExpense reporting toolsAudit documentationFinance wikiShared finance inboxData protection complianceAI toolsFederated data networks

Who should you write to at Apheris?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About Apheris At Apheris, we are building the future of how AI is applied in pharmaceutical R&D. We enable leading pharmaceutical teams to discover and develop drugs faster. We host the industry’s largest federated data networks for drug discovery AI, spanning co-folding, ADMET, and antibody developability. Across these networks, models are trained on proprietary industry datasets to achieve higher performance and broader applicability while keeping data control and IP protected. We deliver these superior models through drug discovery applications that enable teams to run them at scale, further customize them, and integrate them into existing R&D workflows. AI Structural Biology (AISB) Network: Pharmaceutical companies collaborate in the field of co-folding, structure-based binding affinity predictions and antibody design. ADMET Network: Pharmaceutical and biotech companies collaborate to improve small-molecule property prediction and expand in to further drug modalities. Antibody Developability Network: Pharma partners collaborate to federate historical and purpose-built antibody developability data sets for secure ML training, without data leaving each partner’s environment. About the role As a Working Student in Finance , you’ll be an integral part of our Finance team, supporting core processes that keep our business running smoothly. You’ll gain hands-on experience in Accounts Payable and Receivable, Expense Management, and Financial Reporting while working closely with cross-functional teams in an international environment. g. internships or vocational training) is highly appreciated Strong analytical mindset and a structured, solution-oriented approach to work Comfortable taking initiative and working independently in a fast-paced, international environment Solid skills in Microsoft Office, especially Excel Curiosity and enthusiasm for working with AI tools. What we offer you A dynamic role with steep learning opportunities and real impact Remote-first working - work where you work best, whether from home or a co-working space near you Flexible working hours tailored to your study schedule Monthly wellbeing budget Regular team lunches and social events

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