Machine Learning Informatics Engineer Drug Discovery EMEA
Machine Learning Informatics Engineer Drug Discovery EMEA
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Job Description
About SandboxAQ
SandboxAQ is a highgrowth company delivering AI solutions that address some of the worlds greatest challenges. The companys Large Quantitative Models (LQMs) power advances in life sciences financial services navigation cybersecurity and other sectors.
We are a global team that is techfocused and includes experts in AI chemistry cybersecurity physics mathematics medicine engineering and other specialties. The company emerged from Alphabet Inc. as an independent growth capitalbacked company in 2022 funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ weve cultivated an environment that encourages creativity collaboration and impact. By investing deeply in our people were building a thriving global workforce poised to tackle the worlds epic challenges. Join us to advance your career in pursuit of an inspiring mission in a community of likeminded people who value entrepreneurialism ownership and transformative impact.
About the Role
SandboxAQs AI Simulation group partners with global research teams to discover new and materials using AI and physicsbased computational solutions. We are seeking an experienced researcher to drive innovative and impactful projects leveraging informatics machine learning and computational chemistry for drug discovery. The successful candidate will demonstrate strong abilities in cheminformatics and/or bioinformatics including knowledge of established techniques and cuttingedge machine learning methods for modeling molecular properties and interactions with complex systems. They will also have experience with scientific programming and data science. These skills will be leveraged within a seasoned agile and multidisciplinary group including drug hunters with an excellent track record in drug discovery computational chemists physicists AI experts and software engineers.
What Youll Do
- Design and implement software that leverages informatics machine learning and computational chemistry to address unmet needs in drug discovery
- Contribute to ongoing research leveraging physicsbased simulation deep learning and knowledge graphs for drug discovery applications
- Work closely with an interdisciplinary team of scientists to identify hits and optimize leads in ongoing drug discovery programs
- Leverage Bayesian optimization and active learning to improve experimental designs and make datadriven decisions
- Collaborate with computational chemistry experts and crossfunctional teams to rapidly prototype and scale cuttingedge impactful drug design solutions.
- Translate research and applications to maintainable software systems
- Contribute to the scientific community by writing patents / journal articles and presenting at conferences
- Translate insights from statistics multimodal data analysis and ML to actionable and testable drug discovery hypothesis
- This is an opportunity to directly contribute to the discovery of novel innovative medicines by applying computational chemistry techniques on teams with experienced multidisciplinary drug hunters
About You
- PhD in chemistry biology computer science or a related discipline
- 15 years of relevant experience including handson experience with informatics machine learning and computational chemistry applied to drug discovery in the private sector like biotech or pharma
- Experience with cheminformatics and bioinformatics methods (e.g. similarity / substructure searching reactionbased enumeration sequence alignment etc.
- Experience with molecular property prediction and multiobjective optimization using machine learning and / or deep learning methods
- Experienced with common python toolkits for scientific computing (e.g. numpy pandas scipy) machine learning (e.g. scikitlearn pytorch) and cheminformatics / bioinformatics (e.g. rdkit openeye biotite biopython)
- Familiarity running simulations and training models on highperformance computing (GPU) environments for corporate R&D innovation labs or academic research
- An interest in solving scientific problems in chemistry and biology via computational and datadriven methods
- A drive to cooperate with colleagues to identify problems and communicate technical solutions in an accessible manner
- Handson mentality & comfortable with getting deep into the technical weeds of highly complex problems and a track record of driving projects to completion
- Located in EMEA
SandboxAQ welcomes all.
Employment Type
Full Time
