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Apheris

Working Student – Finance

RemoteGermany only
Published
Role
Finance
Experience
Entry level
Employment
Part-time
Company size
Startup
Salary not disclosed
Check eligibility

Open to DE only. Set where you work from to check your eligibility.

No BS summary

University student in Business, Finance, or Economics with some prior finance experience. Needs strong analytical skills, proficiency in Excel, and a proactive, independent work style. Must be fluent in English and German, with an interest in AI tools.

Required skills

Microsoft OfficeExcel

Optional skills

AI tools

Required languages

EnglishGerman

What you'll do

  • Process and record incoming invoices with precision and proper documentation
  • Manage payment cycles, monitor due dates, and follow up on outstanding invoices
  • Reconcile accounts payable to ensure up-to-date financial records
  • Review and process employee expense reports
  • Ensure compliance with internal policies and accuracy of claims
  • Support the monthly payroll cycle across our entities and EOR countries, working closely with our Finance Manager who owns the process end to end
  • Check trial payslips against our records and flag discrepancies
  • Help keep payroll documentation and personnel files audit-ready and in line with data protection requirements
  • Assist in audit preparation by compiling documentation necessary for answering auditor inquiries
  • Maintain the audit request list, track open items, and follow up internally to keep the audit on schedule
  • Support the preparation of supporting files and documentation for the audit data room
  • Monitor the shared finance inbox and route incoming requests and invoices to the right place
  • Assist with day-to-day finance operations or ad hoc requests
  • Support the documentation of finance processes in our internal wiki as we build out investor-ready controls
  • Bring your own ideas on where AI can make our processes faster, more accurate, or more transparent

What they require

  • Enrolled in a master's university program in Business, Finance, Economics, or a related field, ideally with a focus on Controlling, Accounting or Treasury
  • First practical experience in Finance (e.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
  • Curiosity and enthusiasm for working with AI tools. Prior experience is a plus, but a willingness to experiment matters more
  • Attention to detail, excellent organizational abilities, and clear communication style

Benefits

  • 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
  • Quarterly All Hands meet-up at our Berlin HQ or a different European location
  • A fun, diverse team of mission-driven individuals with a drive to see AI and ML used for good
  • Plenty of room to grow personally and professionally and shape your own role

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.

BiotechStartupapheris.com/
Salary not disclosed