• You have experience with federated learning or secure data-sharing methodologies.
• You possess a robust network within the pharma and life sciences industry, especially with R&D leaders, and are familiar with the challenges and priorities they face.
• You are adept at building partnerships with academic institutions or research consortia.
• You are experienced in building data networks and have informed associated go-to-market approaches, especially in drug discovery.

If you don't feel your experience 100% matches the requirements but you think you'd be a great fit for this role and Apheris, we encourage you to apply. We value the right people and look at personality, potential and motivation to learn and grow. We can discuss and adapt the role in a way that is meant for you!

• Industry-competitive compensation
• Significant early-stage equity
• Remote-first working – work where you work best, whether from home or a co-working space near you
• Great suite of benefits including a wellbeing budget, mental health benefits, a work-from-home budget, a co-working stipend and a learning and development budget
• Regular team lunches and social events
• Generous holiday allowance
• Quarterly All Hands meet-up at our Berlin HQ 
• A fun and 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

 
Here’s a bit more about our culture and ambitions at Apheris!

Finding solutions to the planet’s most urgent problems requires organizations to collaborate. But the data and insights needed to solve these challenges are locked away in businesses, unable to be centralized or directly shared for collaboration with customers and partners. Apheris is pioneering a new way for organizations to securely collaborate on even the most sensitive data across organizational and geographical boundaries. By unlocking value from sensitive data, Apheris is accelerating discovery and innovation, driving operational efficiency, and reducing risk and carbon impact for our customers and their partners. 
 
Apheris is a platform that empowers businesses to run advanced analytics and machine learning models across organizational and geographical borders in a way that’s secure, private, and governed. By powering their data infrastructure with federated ML and analytics, businesses can build and operationalize data applications in ways previously not possible. At Apheris, we’re unified by our mission and the positive impact we can have. We’re excited by the potential we can bring with our federated approach and are looking for someone who can help us define, build and scale this impact. What are you waiting for? Come and join us.

Our interview process is structured as follows:  

• Initial Screening: If your application matches our requirements, we invite you to an initial video call to get to know us and the role. The interviewer will be interested in your relevant experiences and skills, as well as answer any questions on the company and the role itself that you may have.
• Deep Dives: In these interviews, you will mostly speak with senior leaders at Apheris to 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.
• Final Interviews: Finally, we invite you for up to three hours of targeted sessions with our leadership team and your potential future colleagues, talking about the market, our technology, and our culture. As part of this final stage, you will also present a case study that you prepared beforehand. If possible, this stage will take place in-person.

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