Working Student – Finance & Operations

Germany - Berlin

Apheris

Build and evolve globally impactful data ecosystems across organizations, industries, and boundaries — all while protecting privacy and IP.

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About the role

As a Working Student in Finance & Operations, you’ll be an integral part of our Finance and Operations 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.

What you will do

Accounts Payable & Receivable
  • Process and record incoming and outgoing invoices with precision and proper documentation
  • Manage payment cycles, monitor due dates, and follow up on outstanding invoices
  • Reconcile accounts payable and receivable to ensure up-to-date financial records
Expense Reporting
  • Review and process employee expense reports
  • Ensure compliance with internal policies and accuracy of claims
Financial Reporting
  • Support the monthly and quarterly preparation of financial statements and internal reports
  • Assist in audit preparations by compiling necessary documentation and answering auditor inquiries
Operations
  • Assist with day-to-day HR operations, including employee onboarding, offboarding
  • Support payroll preparation and processing in collaboration with finance and external providers
  • Maintain and update employee records and HR data in Personio, ensuring accuracy and compliance

You should apply if

  • Enrolled in a master's university program in Business, Finance, Economics, or a related field, ideally with a focus on Controlling, Accounting, Tax, 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
  • Attention to detail, excellent organizational abilities, and clear communication style
  • Fluent in German and proficient in English

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 
  • 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 

About Apheris

Apheris powers federated life sciences data networks, addressing the critical challenge of accessing proprietary data locked in silos due to IP and privacy concerns. Publicly available datasets are insufficient to train high-quality ML models that meet industry requirements. Our product addresses this by enabling life sciences organizations to collaboratively train higher quality models on complementary data from multiple parties. We are now doubling down on two key areas of interest: structural biology and ADMET.

Logistics

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.
  3. Final Interview: Finally, we invite you for up to three hours of targeted sessions with our founders, talking about our culture and meeting future co-workers on the ground.

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Tags: Biology Economics Excel Finance Machine Learning ML models Privacy

Perks/benefits: Career development Flex hours Team events

Region: Europe
Country: Germany

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