Working Student – Finance

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.

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.

Accounts Payable

• 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

• 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
• Solid skills in Microsoft Office, especially Excel
• 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
• Fluent in English and German

• 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 

Our interview process is split into three phases:

1. Initial Screening: If your application matches our requirements, we invite you to an initial video call to explore the fit. In this 30-45 minutes interview, you will get to know us and the role. The interviewer will be interested in your relevant experiences and skills, as well as answer any question on the company and the role itself that you may have.
2. Deep Dive: In this phase, a domain expert from our team will assess your skills and knowledge required for the role by asking you about meaningful experiences or your solutions for specific scenarios in line with the role we are staffing.

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