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Apheris

Working Student – Finance

УдалённоGermany только
Опубликовано
Роль
Финансы
Опыт
Без опыта работы
Занятость
Part-time
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Коротко по делу

Working student (part-time/intern) supporting Accounts Payable/Receivable, Expense Management, Payroll and audit preparation. Must be enrolled in a master's program in Business/Finance/Economics and fluent in English and German. Strong Excel skills and curiosity about AI tools required.

Обязательные навыки

Microsoft OfficeMicrosoft Excel

Желательные навыки

AI tools

Желательные языки

English FluentGerman Fluent

Чем предстоит заниматься

  • Process and record incoming invoices with precision and proper documentation (Accounts Payable).
  • Review and process employee expense reports and ensure compliance with internal policies (Expense Reporting).
  • Support the monthly payroll cycle across entities and EOR countries; check trial payslips and flag discrepancies (Payroll).
  • Assist in audit preparation by compiling documentation, maintaining the audit request list and preparing supporting files for the audit data room (Yearly Closing & Audit).
  • Monitor the shared finance inbox, route incoming requests and invoices, assist day-to-day finance operations and document finance processes.

Что требуется

  • Enrolled in a master's university program in Business, Finance, Economics, or a related field, ideally with a focus on Controlling, Accounting or Treasury
  • Solid skills in Microsoft Office, especially Excel
  • Fluent in English and German
  • Preferred: First practical experience in Finance (e.g. internships or vocational training)
  • Preferred: Curiosity and enthusiasm for working with AI tools

Преимущества

  • Remote-first working - work where you work best
  • Flexible working hours tailored to your study schedule
  • Monthly wellbeing budget
  • Regular team lunches and social events
  • Quarterly All Hands meet-up at our Berlin HQ or a different European location

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 into 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.

BiotechСтартапapheris.com/

Детали

Язык вакансиианглийский
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