Machine Learning Cheminformatics Engineer, Drug Discovery
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Job Location:
Palo Alto, CA - USA
Yearly Salary:
$ 167 - 234
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About SandboxAQ
SandboxAQ is a high-growth 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 tech-focused and includes experts in AI chemistry cybersecurity physics mathematics medicine engineering and other specialties. The company emerged from Alphabet Inc. as an independent growth capital-backed 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 like-minded people who value entrepreneurialism ownership and transformative impact.
About the Role:
SandboxAQs AI Simulation group partners with global research teams to discover new drugs and materials using AI and physics-based computational solutions. We are seeking an experienced researcher to drive innovative and impactful projects leveraging cheminformatics 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 cutting-edge 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 multi-disciplinary 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 physics-based 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 data-driven decisions
- Collaborate with computational chemistry experts and cross-functional teams to rapidly prototype and scale cutting-edge 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
- 1-5 years of relevant experience including hands-on 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 reaction-based enumeration sequence alignment etc.)
- Experience with molecular property prediction and multi-objective 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. scikit-learn pytorch) and cheminformatics / bioinformatics (e.g. rdkit openeye biotite biopython)
- Familiarity running simulations and training models on high-performance 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 data-driven methods
- A drive to cooperate with colleagues to identify problems and communicate technical solutions in an accessible manner
- Hands-on mentality & comfortable with getting deep into the technical weeds of highly complex problems and a track record of driving projects to completion
The US base salary range for this full-time position is expected to be $167k - $234k per year. Our salary ranges are determined by role and level. Within the range individual pay is determined by factors including job-related skills experience and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
SandboxAQ welcomes all.
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
SandboxAQ leverages the compound effects of AI and advanced computing to address some of the biggest challenges impacting society. SandboxAQ technologies include AI simulation, cryptography management for cybersecurity, and AI sensing for global organizations.
