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Senior Principal Scientist - Computational Chemistry

Permanent employee, Full-time · Berlin

About Apheris
Apheris is a deep tech company with the mission to fundamentally change how organizations collaborate securely and extract value from data.

The Apheris Platform empowers organizations to securely analyze data across organizations while keeping proprietary information private. Multiple organizations with complementary data can jointly use the Apheris Platform to create an Apheris Data Ecosystem and generate shared value from their data. We have set up such Data Ecosystems for top 10 pharma and chemical R&D enterprises and are ready for more.

Enabling new ways of collaboration and innovation is not just our purpose, collaboration is as well one of our core values. We are driven by impact and strive for the impossible. We build a safe environment for our team where we are responsible together and everyone commits to take up ownership. Together, we create a whole that is far more than the sum of its parts. We are always hungry to learn and stay humble while we grow.

Our interdisciplinary team of industry-leading researchers and engineers at the intersection of data privacy, cryptography and computational sciences is backed by top investors and tech industry innovators, including LocalGlobe, MuleSoft founder Ross Mason and Twitter board chairman Patrick Pichette (former CFO of Google). With their help, we currently focus on productization of a general-purpose product core and on developing an engine for growth to win our next 10 early customers. If you want to join us in this exciting and rapid growth phase and collaborate with us, we would love to get to know you.

About the role
As a Senior Principal Scientist at Apheris you will be accountable for developing and implementing drug discovery use cases across our product and be in charge for our scientific collaborations with our customers. You will be working on a cutting-edge drug discovery driven platform empowered by privacy-preserving machine learning technologies and help us win and position our next ten scientific projects for pharmaceutical high-profile customers.
You act as the link between the customer’s scientific departments and our technical team and be responsible for advancing the scientific projects by means of state-of-the-art computational chemistry and machine learning techniques. You will be involved in commercial and business development activities; strengthen our external visibility and scientific excellence and you will be the expert and contact of trust when it comes to decisions on product elements.
What you will do
  • Interact as an intermediate between our technical functions and our highly scientific pharma customers to translate their needs into actionable product development
  • Research, develop and implement contemporary ML models for molecular data (chemistry focus)
  • Interact as a domain expert with clients, to determine data and use case requirements
  • Maximise effective utility of chemical data across multiple clients
  • Attending scientific conferences on behalf of and representing Apheris (optional)
  • Writing scientific whitepapers and blog posts about pharmaceutical use cases we serve at Apheris
You should apply if
  • Strong academic background and 5-7 years of professional work experience in (bio)-chemistry, pharmaceutical sciences, bioinformatics, or related disciplines
  • Profound knowledge of scripting and programming languages, preferably Python
  • Experience with deep learning libraries such as Pytorch or Tensorflow
  • Strong passion for science, and ability to work well within interdisciplinary teams
  • Excellent presentation skills along with the ability to work in a dynamic, interdisciplinary team environment with strong focus and ambition
  • Strong scientific background with an understanding of the drug discovery process
Bonus points if
  • More than 3 years of experience in computational drug design, preferably in an industrial setting
  • Track record of publications and presentations at scientific meetings that demonstrate the application of computational chemistry to drug discovery
  • Experience in hardware setup, networking, software deployment and configuration
If you do not match 100% of the above requirements, but you think you fit this role, we encourage you to apply anyway. We value the right people and search based on your personality, potential and motivation to learn and grow. Together we can adapt the role in a way that is meant for you!
What we offer you
  • Plenty of room to grow personally and professionally and shape your own role
  • A fun and diverse team of smart and driven people
  • Industry-competitive compensation
  • Access to an employee participation program
  • Personal budget for conferences, books, trainings and courses
  • The right hardware to make you efficient – be it a laptop with Linux, Windows or a MacBook
  • Regular team lunches and social events
  • Daily fresh fruit, drinks, coffee (and an occasional beer)
  • Inspiring office space in the heart of Berlin directly at the river (Paul Lincke Ufer)
  • Possibility to work remotely
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 us
We are inspired by complexity and driven by impact – apply now and join a team that is set to build the next large tech company!
Your application!
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