SystImmune
Scientist/Senior Scientist – AI Small Molecule Drug Design
SystImmune, Redmond, Washington, United States, 98052
Overview
SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has assets in various stages of clinical trials for solid tumor and hematologic indications, plus a robust preclinical pipeline in discovery and IND-enabling stages. We offer opportunities to learn and grow while making significant contributions to the company’s success. AI Small Molecule Drug Design – Scientist/Senior Scientist
SystImmune is seeking an innovative and driven
AI Scientist or Senior Scientist
to contribute to our AI-driven small molecule drug design efforts. The successful candidate will work as part of an interdisciplinary team focusing on using computational methods and machine learning to discover and design small molecules that can be developed into therapeutic drugs. This role will involve applying AI to predict molecular properties, optimize drug-like characteristics, and enhance the lead development process. The ideal candidate will have experience in computational chemistry, molecular modeling, and the application of AI and machine learning techniques to small molecule drug discovery. This individual will collaborate closely with chemists, biologists, and computational scientists to drive drug development from discovery through preclinical stages. Responsibilities
Develop and optimize AI-driven small molecule drug design pipelines to predict molecular properties, perform virtual screening, and improve drug-like characteristics Utilize advanced AI methods such as generative modeling (e.g., DiffDock, ProteinMPNN), deep learning, and reinforcement learning to generate novel small molecules and predict their interactions Implement AI-based molecular docking methods (e.g., DiffDock) to improve binding affinity predictions, optimize lead compounds, and enhance virtual screening efficiency Collaborate with cross-functional teams, including medicinal chemistry, biology, and computational biology, to integrate AI methods into drug discovery workflows Lead AI-driven efforts in drug manufacturing, optimizing small molecule synthesis routes, yield predictions, and manufacturability profiles of novel drug candidates Apply virtual screening techniques using AI models to explore vast chemical spaces, prioritize compound libraries, and identify promising lead candidates for various therapeutic targets Analyze and interpret computational data to guide decision-making in the drug design process, focusing on pharmacokinetics, toxicity, and efficacy Contribute to the development of AI-based software tools and platforms for drug design and analysis, ensuring scalability and usability for cross-disciplinary teams Generate insights from large-scale chemical and biological datasets, identifying key relationships and optimizing drug candidates for efficacy, safety, and pharmacokinetics Stay updated on AI and computational chemistry advancements and apply state-of-the-art methods to improve drug discovery processes Qualifications
Ph.D. or equivalent in Computational Chemistry, Bioinformatics, Biophysics, Machine Learning, or a related field 5+ years of experience applying computational methods and AI to small molecule drug design or a related field, with specific experience in AI small molecule generation, AI molecular docking, virtual screening, and drug manufacturing Strong background in machine learning techniques (e.g., deep learning, generative models, reinforcement learning) and their application to drug discovery Expertise in molecular modeling and drug design software (e.g., AutoDock, Schrodinger, Open Babel, or other relevant tools) Proficiency in programming languages such as Python, R, or C++, and experience with ML frameworks (e.g., TensorFlow, PyTorch) Experience in analyzing large-scale datasets, including molecular databases (e.g., ChEMBL, PubChem) and performing virtual screening Proven track record in applying computational chemistry and machine learning to solve real-world drug discovery challenges Excellent communication skills with the ability to present complex data to both technical and non-technical stakeholders Experience with high-performance computing (HPC) is a plus Preferred
Familiarity with drug-likeness, ADMET properties, and structure-activity relationships (SAR) Experience with AI models in generative chemistry or reinforcement learning for drug design Contributions to AI-driven drug discovery publications and conference presentations Knowledge of biological data integration with drug discovery Compensation and Benefits
The base salary range is $150,000 - $250,000 annually. Actual compensation will depend on qualifications, experience, and skills. We may offer toward the higher end for exceptional candidates. SystImmune offers a comprehensive benefits package, including 100% paid employee premiums for medical/dental/vision, STD/LTD, a 401(k) plan with a 50% company match of up to 3%, a vesting schedule of 5 years, 15 PTO days per year, sick leave, and 11 paid holidays. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.
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SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has assets in various stages of clinical trials for solid tumor and hematologic indications, plus a robust preclinical pipeline in discovery and IND-enabling stages. We offer opportunities to learn and grow while making significant contributions to the company’s success. AI Small Molecule Drug Design – Scientist/Senior Scientist
SystImmune is seeking an innovative and driven
AI Scientist or Senior Scientist
to contribute to our AI-driven small molecule drug design efforts. The successful candidate will work as part of an interdisciplinary team focusing on using computational methods and machine learning to discover and design small molecules that can be developed into therapeutic drugs. This role will involve applying AI to predict molecular properties, optimize drug-like characteristics, and enhance the lead development process. The ideal candidate will have experience in computational chemistry, molecular modeling, and the application of AI and machine learning techniques to small molecule drug discovery. This individual will collaborate closely with chemists, biologists, and computational scientists to drive drug development from discovery through preclinical stages. Responsibilities
Develop and optimize AI-driven small molecule drug design pipelines to predict molecular properties, perform virtual screening, and improve drug-like characteristics Utilize advanced AI methods such as generative modeling (e.g., DiffDock, ProteinMPNN), deep learning, and reinforcement learning to generate novel small molecules and predict their interactions Implement AI-based molecular docking methods (e.g., DiffDock) to improve binding affinity predictions, optimize lead compounds, and enhance virtual screening efficiency Collaborate with cross-functional teams, including medicinal chemistry, biology, and computational biology, to integrate AI methods into drug discovery workflows Lead AI-driven efforts in drug manufacturing, optimizing small molecule synthesis routes, yield predictions, and manufacturability profiles of novel drug candidates Apply virtual screening techniques using AI models to explore vast chemical spaces, prioritize compound libraries, and identify promising lead candidates for various therapeutic targets Analyze and interpret computational data to guide decision-making in the drug design process, focusing on pharmacokinetics, toxicity, and efficacy Contribute to the development of AI-based software tools and platforms for drug design and analysis, ensuring scalability and usability for cross-disciplinary teams Generate insights from large-scale chemical and biological datasets, identifying key relationships and optimizing drug candidates for efficacy, safety, and pharmacokinetics Stay updated on AI and computational chemistry advancements and apply state-of-the-art methods to improve drug discovery processes Qualifications
Ph.D. or equivalent in Computational Chemistry, Bioinformatics, Biophysics, Machine Learning, or a related field 5+ years of experience applying computational methods and AI to small molecule drug design or a related field, with specific experience in AI small molecule generation, AI molecular docking, virtual screening, and drug manufacturing Strong background in machine learning techniques (e.g., deep learning, generative models, reinforcement learning) and their application to drug discovery Expertise in molecular modeling and drug design software (e.g., AutoDock, Schrodinger, Open Babel, or other relevant tools) Proficiency in programming languages such as Python, R, or C++, and experience with ML frameworks (e.g., TensorFlow, PyTorch) Experience in analyzing large-scale datasets, including molecular databases (e.g., ChEMBL, PubChem) and performing virtual screening Proven track record in applying computational chemistry and machine learning to solve real-world drug discovery challenges Excellent communication skills with the ability to present complex data to both technical and non-technical stakeholders Experience with high-performance computing (HPC) is a plus Preferred
Familiarity with drug-likeness, ADMET properties, and structure-activity relationships (SAR) Experience with AI models in generative chemistry or reinforcement learning for drug design Contributions to AI-driven drug discovery publications and conference presentations Knowledge of biological data integration with drug discovery Compensation and Benefits
The base salary range is $150,000 - $250,000 annually. Actual compensation will depend on qualifications, experience, and skills. We may offer toward the higher end for exceptional candidates. SystImmune offers a comprehensive benefits package, including 100% paid employee premiums for medical/dental/vision, STD/LTD, a 401(k) plan with a 50% company match of up to 3%, a vesting schedule of 5 years, 15 PTO days per year, sick leave, and 11 paid holidays. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.
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