Data Scientist - Computational Chemistry

Salary Competitive
Equity To be negotiated

Abzu is breaking new ground in the life science and the pharmaceutical industries. We are looking for a curious scientist with chemoinformatics expertise and an interest in machine learning to help us introduce a new standard of interpretability to artificial intelligence.


You'll be an integral part of the bridge between our core technology and the life science and pharmaceutical industries. Specifically, you will be part of our forward-looking pharma team whose goals are to ensure customers succeed with our proprietary technology and capture user feedback to help us build something new and awesome.

Ideally, your experience in drug discovery and applying machine learning to real-world cases will enable us to demonstrate the unique value of our pioneering technology while collaborating with our customers in hypothesis-driven research.

Collecting and weighing feedback to drive product improvements is essential to us and for you, especially chemoinformatics-based features that can be implemented into our product. You'll have the opportunity to shape future research and product development areas, so software development skills would set you apart from your peers.

We’re an open-minded bunch of nice nerds, and even if you do not meet all of the criteria listed below but are excited about the opportunity, please don’t hesitate to apply or ask questions. We are here to grow together and bring Abzu one step closer to realizing the promise of explainable artificial intelligence.

About you

  • You bring +5 years of experience working as a researcher, computational chemist, or data scientist within drug discovery. Ideally, you have been exposed to preclinical or clinical drug development.

  • You can show you have driven projects in a drug discovery context, preferably for therapeutic entities such as small molecules, proteins, and/or antibodies.

  • You are curious about our customer’s problems and want to use our technology to solve them.

  • You want to help develop chemoinformatics-related features to help build something new and awesome.

  • You have experience with data science in Python (sklearn, statsmodels, pandas, numpy) and statistical analysis.

We'd love it if

  • You are a fast learner and a good teacher.

  • You have a passion for AI, machine-learning, and research.

  • You’re a curious and ambitious good human.

For more information or questions please contact us at or phone number +4529298524

Perks and benefits

This job comes with several perks and benefits

Flexible working hours
Flexible working hours

Time is precious. Make it count. Morning person or night owl, this job is for you.

Free coffee / tea
Free coffee / tea

Get your caffeine fix to get you started and keep you going.

Near public transit
Near public transit

Easy access and treehugger friendly workplace.

Social gatherings
Social gatherings

Social gatherings and games; hang out with your colleagues.

Free office snacks
Free office snacks

Peckish after lunch? We got your back with soft drinks, treats and fruit.

Equity package
Equity package

Want to be a partner? Look no further.

See all 15 benefits

Working at

About us: Founded in February 2018, Abzu is an applied research startup with offices in Copenhagen, Denmark and Barcelona, Spain. Abzu was born from the desire to challenge the fundamental assumptions of contemporary, black box AI. Abzu’s pioneering artificial intelligence, the QLattice®, accelerates analysis and insights through transparent and explainable models. You’ll have the opportunity to be part of a highly-skilled, fast-thinking, and energetic team. Our philosophy and culture are based on self-management, which empowers people to be themselves and make their own decisions about their work. We are focused on creating the best environment where people have integrity, a strong sense of responsibility, and collaborate in creative and inspiring ways. We believe and trust in people, their high potential, and inestimable value. This requires transparency and trust, which is an integral part of our technology and who we are. This organizational style is not a fit for everyone. For more information about Abzu, see and About our Mission: Our mission is to build a machine where cognition arises through self-organization of millions of interactions. We will bring explainable artificial intelligence to researchers and scientists worldwide. With the rapid advancement of machine learning, anyone can fit a model to a dataset. However, it is still too complicated to explain what is going into a decision, why a specific outcome happens, and what's truly important. Our graph-based technology is currently used in the life science and pharmaceutical industries to find answers to problems by leveraging our technology’s "explorative" ability to test millions of potential models and seamlessly pick the simplest and most accurate ones. As a result, researchers and scientists can test hypotheses faster than ever using one standardized machine learning framework to interpret and explain what is going into a decision (and not just predicting it).

Read more about Abzu

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