Machine Learning Researcher

  • Berlin, Germany

Machine Learning Researcher

Job description

We are a Berlin-based early-stage startup backed by leading investors and scientists on a mission to improve the lives of the 400 million people around the world who have a genetic disease. To achieve this, we have built a cloud platform using AI and synthetic biology to decipher how changes in our DNA lead to disease. We offer this platform to genetic testing labs and empower them to give more patients a clear and fast diagnosis.


Your role

We are looking for a Machine Learning Researcher to join our Artificial Intelligence team. You will be working closely together with our genomics and data science experts to solve some of the hardest problems in genomics. As the lead Machine Learning Researcher, you will be responsible for developing cutting-edge machine learning models (including deep learning models), from ideation to deployment. Since you will be working on complex problems in a fully interdisciplinary team, a pragmatic mentality, as well as the ability to think outside the box, are necessary for this position.

Job requirements

Essential


  • PhD in bioinformatics, computational biology, mathematics, computer science or related discipline

  • Strong experience with state-of-the-art machine learning techniques (e.g. graph-based networks, latent variable models, deep learning, etc.)

  • Proven track record of developing custom machine learning models in R&D and production.

  • Experience with high-performance computing (HPC) environments and working with Big Data.

  • Advanced skills in Python, C/C++, bash, NoSQL and TensorFlow.

  • Excellent project management skills, with the ability to plan and execute scientific projects

  • Ability to take ownership and find pragmatic solutions to complex problems

  • Excellent command of English and good communication skills

  • Highly motivated and able to work in a fast-paced, multidisciplinary and collaborative environment

  • Willingness to learn and openness to feedback


Nice-to-have


  • Experience working with biological data sets or in healthcare settings

  • Start-up experience



What we value in our team

Our team reflects the interdisciplinary collaboration required to solve this big challenge – ranging from software and data science to genetics and healthcare. We are a proudly diverse, international group of creative problem-solvers and humble learners that care about having a positive impact on society and are also aware of the trust placed in us. This is why we value transparency and kindness, taking ownership and we encourage your personal growth:

  • Develop your personal skills and knowledge with resources like books and courses to learn continuously

  • Dynamic and flexible work environment that you can design (incl. remote work options)

  • Participate in our success with equity options

  • Possibility to grow with the company and influence our direction

  • Regular social activities: participate only if you feel like it

  • Additionally, in our Berlin office we offer good coffee, a selection of healthy snacks and company-subsidized public transport

 

We see diversity as a core feature of our team and we encourage you to apply especially if you are from an underrepresented group.