Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Partner to ...
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Partner to ...
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Manage day-to ...
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Manage day-to ...
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Manage day-to ...
Quick apply
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Manage day-to ...
Chemistry Subject Matter Expert - AI Training (Remote) Role Type: Contractor Location: Remote We are seeking a Chemistry Subject Matter Expert to contribute domain expertise toward the development of ...
Chemistry Subject Matter Expert - AI Training (Remote) Role Type: Contractor Location: Remote We are seeking a Chemistry Subject Matter Expert to contribute domain expertise toward the development of ...
Peer-reviewed publications applying AI/ML to chemistry and/or materials science * Experience developing and applying deep learning methods for scientific discovery, including graph neural networks ...
Peer-reviewed publications applying AI/ML to chemistry and/or materials science * Experience developing and applying deep learning methods for scientific discovery, including graph neural networks ...
Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as ...
Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as ...
Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as ...
Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as ...
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Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Partner to ...
Quick apply
Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Partner to ...
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Chemistry Ai information
See salary details
$13.46 - $15.17
4% of jobs
$15.17 - $16.87
11% of jobs
$18.12 is the 25th percentile. Wages below this are outliers.
$16.87 - $18.58
14% of jobs
$18.58 - $20.28
19% of jobs
The median wage is $20.54 / hr.
$20.28 - $21.98
14% of jobs
$21.98 - $23.69
12% of jobs
$23.92 is the 75th percentile. Wages above this are outliers.
$23.69 - $25.39
12% of jobs
$25.39 - $27.10
3% of jobs
$27.10 - $28.80
1% of jobs
$28.80 - $30.51
6% of jobs
$30.51 - $32.21
4% of jobs
$13
$22
$32
How much do chemistry ai jobs pay per hour?
What is a Chemistry AI?
What are the key skills and qualifications needed to thrive as a Chemistry AI specialist?
How does a professional working in Chemistry AI typically collaborate with interdisciplinary teams in research or industry settings?
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Full-time
Re-posted 15 days ago
Job description
Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, data science, and software engineering to develop drugs for previously undruggable targets.Â
Role DescriptionÂ
- Own computational chemistry programs across therapeutic modalities, disease targets, and indicationsÂ
- Ensure effective collaboration with the Biology and Medicinal Chemistry teams by providing key computational chemistry insights to aid in the Hit-to-Lead and Lead Optimization phases of drug discovery operations Â
- Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as the incorporation of those models into drug discovery operationsÂ
- Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and PharmacologyÂ
- Partner to improve 1910's existing process for progressing from computational hit to experimental hit to lead to drug candidateÂ
- Co-author provisional patents and peer-reviewed research papersÂ
- Progress a virtual hit to a biochemical/cellular hitÂ
- Validate a cellular hit in a clinically relevant animal model of diseaseÂ
- Update provisional patents with the animal model dataÂ
- Nominate a lead candidate for progression into IND-enabling studiesÂ
- Attend and present research at conferences and events related to computational modeling in drug discoveryÂ
Qualifications Â
- Ph.D. in computational chemistry or related disciplineÂ
- 2 years of relevant industry experience within drug discovery or biotechnologyÂ
- Played a key role in advancing a drug discovery program from early research phases to clinical developmentÂ
- In-depth knowledge and hands-on experience with quantum chemical (QC) methods, including semi-empirical and density functional theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and enhanced sampling techniques such as metadynamics, umbrella sampling, and replica exchange MD, free energy simulations such as FEP and TI, and QM/MM methodologies for small and large molecular systemsÂ
- Strong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational samplingÂ
- Proficiency in analyzing molecular properties such as solvation free energy, dipole moments, vibrational frequencies, electrostatic potential, charge distribution, and more.Â
- Deep knowledge of implicit and explicit solvent models, with extensive experience modeling solvent effects on molecular systems and chemical reactions in various environmentsÂ
- Extensive experience in using and troubleshooting software tools for QC calculations (e.g., ORCA, xTB, CREST, etc.), MD simulations (e.g., GROMACS, OpenMM, etc.), Drug Design Development Packages (e.g., EG, Schrodinger, MOE, CRESSET)Â
- Experience working with HPC Clusters and cloud-based services like (e.g., Microsoft AZURE, AWS)Â
- Ability to optimize computational simulation protocols for efficient resource usageÂ
- Proven experience working with small organic molecules and large biomolecular systems (e.g., peptides, proteins, etc.) for property prediction, conformational analysis, and structure-activity relationships (SAR)Â
- Hands-on experience with Python and Bash scripting for automating workflows and data analysisÂ
- Familiarity with cheminformatics toolkits such as RDKit for molecular property prediction and data managementÂ
- Basic knowledge of machine learning (ML) techniques applied to molecular property prediction, virtual screening, and related tasksÂ
- Strong desire to collaborate with AI scientists, data scientists, medicinal chemists, and biologists to interpret computational results and guide experimental designÂ
- Clear and effective communication of complex scientific ideas through reports, presentations, and publicationsÂ
Nice to HavesÂ
- Publications in computational chemistry related to drug discoveryÂ
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