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ApherisAP

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Apheris is a Berlin-based company that specializes in secure, federated access to life sciences data for machine learning and analytics.

Apheris

Employee count: 11-50

BG, GR + 2 more

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Our interview process is split into three phases:

  1. Initial Screening: If your application matches our requirements, our hiring manager will invite you to an initial video call. In this 45 minutes interview, you will get to know us and the role. Our hiring manager 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: Your second video call will be with a domain expert from our team. Our interviewer 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 to our office for two to three hours of interviewing with our founders, talking about our culture and meeting future co-workers on the ground.

About the job

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Full Time

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Greece +/- 0 hours, and 3 other timezones

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About Apheris

Learn more about Apheris and their company culture.

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Apheris enables governed, private, and secure access to data for ML and analytics. As model architectures become increasingly commoditized, data becomes an organization’s key differentiator. However, businesses need to safeguard their data assets and IP while leveraging it for ML. Our product, the Apheris Compute Gateway, ensures only approved computations can be launched on that data. It also enables federation across organizational boundaries, allowing ML-powered insights with no need to centralize data, while ensuring compliance with data privacy, security, and governance obligations.

Founded in 2019, Apheris is backed by top investors and tech industry innovators, including Octopus Ventures, Heal Capital, LocalGlobe, another.vc, MuleSoft founder Ross Mason (Dig Ventures), and Twitter board chairman and former CFO of Google, Patrick Pichette. The Apheris Compute Gateway allows computational access to data without any data sharing. The Compute Gateway ensures only approved computations can be launched on that data allowing AI-powered insights with no need to share data, enabling businesses to work collaboratively across organizational or geographical boundaries, while ensuring compliance with data privacy, security, and governance obligations. Build new data and ML-enabled products while ensuring compliance with data privacy, security, and governance obligations.

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Apheris

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