Machine Learning Engineer, AI
ICF
AWSAzureCloudGoogle Cloud PlatformNoSQLPythonPyTorchScikit-LearnSQLTensorflow
Machine Learning Engineer, Cheminformatics – Drug Discovery
SandboxAQ
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $167,000 - $234,000 per year
Job Level
Junior
Tech Stack
NumpyPandasPythonPyTorchScikit-Learn
About the role
- 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
Requirements
- 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
Benefits
- Competitive salaries
- Stock options depending on employment type
- Generous learning opportunities
- Medical/dental/vision
- Family planning/fertility
- PTO (summer and winter breaks)
- Financial wellness resources
- 401(k) plans
- More
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
informaticsmachine learningcomputational chemistryBayesian optimizationactive learningmultimodal data analysismolecular property predictionmulti-objective optimizationcheminformaticsbioinformatics
Soft skills
collaborationcommunicationproblem-solvinginterdisciplinary teamworktechnical writingpresentation skillshands-on mentalitydrive to completion
Certifications
PhD in chemistryPhD in biologyPhD in computer science
