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Lead Full-Stack Developer

We have an exciting opportunity for an ambitious Full-Stack Developer within AI Drug Discovery & Design, who is looking to shape the next generation of scientific developments.

 

Together with our colleagues consisting of mathematicians, physicists, cheminformatics, and deep learning experts you will be computing the world of degraders (PROTACs), small molecules and proteins.

 

38,5h

Home Office and Office in the city of Graz

f/m/x

Your Profile

You are driven by curiosity and passionate about the fascinating intersection of computer science and life science.

You are familiar with the latest advancements in full-stack development and shine with your open mind and polished coding skills in JavaScript, Angular (or similar), CSS, SQL and PHP or Python, or React or C#.

Your Role

  • Develop frontend applications as well as backend components.
  • Code analysis, development, and contribution to software architecture
  • Development and responsibility of UI & UX
  • Agile development and collaboration in an international team

Requirements

  • Completed education (HTL, FH, Uni) in software engineering.
  • Professional experience desirable
  • Expert knowledge in full-stack development, JavaScript, Angular (or similar), CSS, SQL and backend technology.
  • EU citizenship or permanent residence permit

Offer

A market compliant salary – from € 2.556 to € 4.600 per month x 14 gross – according to your qualification and experience.

Team spirit, excellent working atmosphere, and participation in an Austrian deep tech company.Flexible working hours.

Interested applicants send their CV to hi@celeristx.com

Contact and further information:

Jakob Hohenberger, Tel.: +43 660 55 86 512

Celeris Therapeutics GmbH

Untere Teichstraße 18/1
8010 Graz
Austria

Company register: FN 550442z

13 + 5 =

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Jakob Hohenberger

Jakob Hohenberger is CFO, COO and Co-Founder of Celeris Therapeutics.
He co-founded several tech companies.
The last founded company was about custom software development focused on NLP systems. His was responsible for sales, marketing, and business development.
Additionally, he was CEO of an AI-NLP joint venture for two years and supported many startups and SMEs in finance, business development, marketing, and sales.
Before co-founding Celeris Therapeutics Jakob was Head of Sales for an international Swiss FinTech venture group.

Jakob is responsible for finance, operations, investments, HR, marketing, and sales.

DI Christopher Trummer, MSc

Christopher Trummer is CEO, CTO, and Co-Founder of Celeris Therapeutics.

Through his professional experience, he has a strong network in the pharmaceutical and biotech industry.
He is responsible for the technical lead, at the intersection of tech and chemistry for all development processes as well as technology partnerships. He has been an invited speaker in AI for drug discovery conferences several times and is co-author of peer-reviewed publications in various journals.

Christopher holds a degree in molecular biology and biotechnology with honors from TU Graz and KFU Graz. Besides, he completed his Master’s degree in information systems at IU in Bad Honnef.

Hosein Fooladi, MSc

Hosein Fooladi is Head of Data Science and Machine Learning and one of the first employees of Celeris Therapeutics. He holds a degree in Biomedical Engineering. Hosein was honored by the Iranian Ministry of Science and Research as an exceptional talent after being ranked in the top 0.1% in the national licensing exams.
Since 2017, Hosein has worked at Cambridge Systems Biology Center as a Machine Learning Researcher in Drug Discovery. After this role, he became a Senior Data Scientist for cheminformatics at an in silico drug discovery and design company based in Cambridge.

Hosein is responsible for the architecture and implementation of deep learning pipelines. Hosein gained our attention through his peer-reviewed publications on deep learning and drug discovery.

FH-Prof. Dr. Stephan Winkler

Stephan Winkler is a FH-Professor and Program Director at the University of Applied Sciences Upper Austria in the field of Medical- and Bioinformatics. He is also Head of the Department of Medical- and Bioinformatics, and Data Science at University of Applied Sciences Upper Austria.

After receiving his doctorate from Johannes Kepler University (2008), Stephan started his career at University of Applied Sciences Upper Austria, as FH-Professor for Medical- and Bioinformatics. In the course of his work, he was awarded several times, among others as the best lecturer of the UAS Upper Austria.

Assist.-Prof. Dr. Günter Klambauer

Günter Klambauer is Assistant Professor for Machine Learning in the field of drug discovery at the Institute for Machine Learning at JKU in Linz. He also leads the research group on AI and Drug Discovery.
His main research interests are self-normalizing neural networks, convolutional neural networks, recurrent neural networks and reinforcement learning, machine learning methods for drug discovery, and life science data analysis and bioinformatics. After his diploma studies in mathematics and biology and teaching positions at BORG Linz and BORG Bad Leonfelden, Günter pursued graduate studies in bioinformatics and did his doctoral thesis with Sepp Hochreiter at JKU.

Günter has received several awards for his scientific excellence, including the Austrian Life Science Award and the Award of Excellence of the Austrian Ministry of Science.

Assoc.-Prof. Dr. Johannes Kirchmair

Johannes Kirchmair is Associate Professor of cheminformatics at the Institute of Pharmaceutical Chemistry at the University of Vienna and Head of the Computational Drug Discovery and Design Group (COMP3D).
He is also a group leader at the Center for Bioinformatics (ZBH) at the University of Hamburg. After receiving his Ph.D. from the University of Innsbruck (2007), Johannes started his career as an application scientist at Inte:Ligand GmbH (Vienna) and as a university assistant at his alma mater. In 2010, he moved to BASF SE (Ludwigshafen) as a postdoctoral fellow. He then worked as a research associate at the University of Cambridge (2010-2013) and ETH Zurich (2013-2014). Johannes held an assistant professorship in applied bioinformatics at the University of Hamburg (2014 to 2018) and an associate professorship in bioinformatics at the University of Bergen (2018 to 2019).
He has been a visiting professor at the National Institute of Warangal (2016), at the University of Cagliari (2017), and the University of Vienna (2018). His main research interests include the development and application of computational methods to predict the biological activities, metabolic activities, and toxicity of small molecules (including natural products) in the context of drug discovery.

Prof. Dr. Jean-Louis Reymond

Jean-Louis Reymond is a Professor of Chemistry at the University of Bern, Switzerland. He studied chemistry and biochemistry at the ETH Zurich and received his Ph.D. from the University of Lausanne on the synthesis of natural products (1989).
After a post-doc and an assistant professorship at the Scripps Research Institute, he moved to the University of Bern (1997). His research focuses on the recognition and representation of the chemical space for small molecule drug discovery, the synthesis of new molecules from GDB (http://gdb.unibe.ch), and the design and synthesis of peptide dendrimers and polycyclic peptides as antimicrobial agents and for nucleic acid transport. He is the author of > 300 scientific publications and reviews (h = 62).

Dr. Ronjon Nag

Ronjon Nag is a British-American inventor and entrepreneur specializing in the field of mobile technology. He co-founded the technology company Lexicus, which was acquired by Motorola in 1993. His later co-founded company Cellmania was acquired by Research in Motion in 2010. He later served as vice president at both Motorola and BlackBerry.

Ronjon is the founder and president of R42, a U.S. VC group. He was one of the early investors in Healx and Oxford Drug Design.

Petr Šrámek, MBA

Petr Sramek has been a serial entrepreneur in DeepTech for more than 30 years. Petr builds science, funding, and business infrastructure to support the faster adoption of technologies to improve health. Petr was Entrepreneur in Residence at Singularity University, Co-Founder of the Artificial Intelligence Platform at the Confederation of Industry, and Senator for the Czech Republic in the World Business Angels Investment Forum (WBAF).

Petr is also the founder of the AI Awards project. Petr was listed in the group of 28 AI leaders in the World Intellectual Property Organization’s flagship study alongside Nick Bostrom, Frank Chen, Martin Ford, Kai-Fu Lee, Andrew Ng, Ben Lorica, and others.

Petr is Co-Founder, Chairman of the Board, and Managing Partner of Longevitytech.fund, a Czech VC.

Prof. Dr. Ola Spjuth

Ola Spjuth is a professor at Uppsala University focusing on mathematical and statistical modeling, informatics, and quantitative analysis of pharmacological systems. He has developed methods, algorithms, and software to study and model pharmaceutical interactions.
A major focus of his group is how artificial intelligence and machine learning can aid the drug discovery process: for example, in drug screening and the study of drug toxicity, metabolism, and resistance.
His group combines in silico and in vitro experiments at the cellular level and has access to a robotic high-content imaging laboratory connected to a modern IT infrastructure to manage and analyze large amounts of data.