ZipRecruiter
Staff Scientist/Senior Staff Scientist, Machine Learning (industry experience re
ZipRecruiter, South San Francisco, California, us, 94083
Overview
Septerna is a biotechnology company based in South San Francisco, CA on a mission to develop life-changing medicines. The company focuses on GPCR-focused drug discovery using its Complex Platform™ to recapitulate GPCRs with their structure, function, and dynamics outside of the cellular context, enabling access to modern structural and screening technologies for GPCRs. Septerna has an emerging pipeline of GPCR-targeted small molecule programs with potential for growth to target undruggable GPCRs. We are expanding our multidisciplinary team to create revolutionary medicines for patients with unmet needs. At Septerna we value collaboration, openness, and bringing your real self to work. You will grow and learn from a talented team of scientists, drug hunters, and business professionals, contributing your passion, creativity, and energy to accomplish our mission. We pursue ground-breaking innovations and cultivate an environment where employees succeed by learning from each other and working as a team. We are committed to developing meaningful therapeutics for patients with high unmet need. This is a tremendous opportunity to work with talented individuals on the frontlines of therapeutic discovery and development. The successful candidate will contribute their passion, unique talents, and expertise to a dynamic team focused on discovering disease-modifying therapeutics in a fast-paced environment. For more information see: www.septerna.com. The Role
Septerna is seeking an experienced Data Scientist for our Data Science and ML team to drive drug discovery through advanced data science and machine learning techniques. In this role, you will apply ML for chemistry and drug discovery to develop models for tasks such as hit identification and molecular property prediction. You will have the opportunity to mine Septerna’s GPCR datasets to deliver impactful ML solutions in collaboration with our data science and experimental teams. Key responsibilities
Apply machine learning techniques (e.g., deep learning, graph neural networks, ensemble methods) to drug hit finding and molecular property prediction. Work with chemical data, including representations such as SMILES, molecular graphs, and fingerprints. Utilize machine learning libraries, platforms, and infrastructure to build, train, and evaluate models. Collaborate with chemists, biologists, and other data scientists to understand project goals and translate them into data science solutions. Develop and implement robust data pipelines for preparing and analyzing chemical and biological data. Evaluate model performance using appropriate metrics and iterate to improve accuracy and applicability. Communicate findings and insights clearly to technical and non-technical audiences. Stay current with advancements in machine learning for drug discovery and recommend adoption where appropriate. Qualifications
Ph.D. in a quantitative field (e.g., Data Science, Computer Science, Chemistry) with 5+ years of relevant industry experience. Strong understanding of machine learning in drug discovery with proven experience building and deploying ML models for chemical property prediction or hit identification. Proficiency in handling and analyzing chemical data using tools such as RDKit and familiarity with molecular representations (SMILES, fingerprints, graphs). Strong programming skills in Python and experience with libraries (scikit-learn, TensorFlow, PyTorch). Experience with databases, large datasets, and cloud computing platforms for ML model training and data storage. Excellent communication, presentation, and collaboration skills. Skills
Experience working with DNA-encoded library (DEL) data and analysis. Familiarity with cheminformatics and/or computational chemistry techniques. Working knowledge of AWS solutions for ML and data science (e.g., Athena, SageMaker, Batch). The anticipated salary range for candidates who will work in South San Francisco, CA is $140,000 - $185,000. Individual pay may vary based on factors including skills, experience, location, and education. Septerna\'s compensation package also includes benefits, stock options, and annual target bonus for full-time positions. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, gender identity, protected veteran status, or status. California Consumer Privacy Act Privacy Notice: If you are a California resident, click here for our CCPA Notice.
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Septerna is a biotechnology company based in South San Francisco, CA on a mission to develop life-changing medicines. The company focuses on GPCR-focused drug discovery using its Complex Platform™ to recapitulate GPCRs with their structure, function, and dynamics outside of the cellular context, enabling access to modern structural and screening technologies for GPCRs. Septerna has an emerging pipeline of GPCR-targeted small molecule programs with potential for growth to target undruggable GPCRs. We are expanding our multidisciplinary team to create revolutionary medicines for patients with unmet needs. At Septerna we value collaboration, openness, and bringing your real self to work. You will grow and learn from a talented team of scientists, drug hunters, and business professionals, contributing your passion, creativity, and energy to accomplish our mission. We pursue ground-breaking innovations and cultivate an environment where employees succeed by learning from each other and working as a team. We are committed to developing meaningful therapeutics for patients with high unmet need. This is a tremendous opportunity to work with talented individuals on the frontlines of therapeutic discovery and development. The successful candidate will contribute their passion, unique talents, and expertise to a dynamic team focused on discovering disease-modifying therapeutics in a fast-paced environment. For more information see: www.septerna.com. The Role
Septerna is seeking an experienced Data Scientist for our Data Science and ML team to drive drug discovery through advanced data science and machine learning techniques. In this role, you will apply ML for chemistry and drug discovery to develop models for tasks such as hit identification and molecular property prediction. You will have the opportunity to mine Septerna’s GPCR datasets to deliver impactful ML solutions in collaboration with our data science and experimental teams. Key responsibilities
Apply machine learning techniques (e.g., deep learning, graph neural networks, ensemble methods) to drug hit finding and molecular property prediction. Work with chemical data, including representations such as SMILES, molecular graphs, and fingerprints. Utilize machine learning libraries, platforms, and infrastructure to build, train, and evaluate models. Collaborate with chemists, biologists, and other data scientists to understand project goals and translate them into data science solutions. Develop and implement robust data pipelines for preparing and analyzing chemical and biological data. Evaluate model performance using appropriate metrics and iterate to improve accuracy and applicability. Communicate findings and insights clearly to technical and non-technical audiences. Stay current with advancements in machine learning for drug discovery and recommend adoption where appropriate. Qualifications
Ph.D. in a quantitative field (e.g., Data Science, Computer Science, Chemistry) with 5+ years of relevant industry experience. Strong understanding of machine learning in drug discovery with proven experience building and deploying ML models for chemical property prediction or hit identification. Proficiency in handling and analyzing chemical data using tools such as RDKit and familiarity with molecular representations (SMILES, fingerprints, graphs). Strong programming skills in Python and experience with libraries (scikit-learn, TensorFlow, PyTorch). Experience with databases, large datasets, and cloud computing platforms for ML model training and data storage. Excellent communication, presentation, and collaboration skills. Skills
Experience working with DNA-encoded library (DEL) data and analysis. Familiarity with cheminformatics and/or computational chemistry techniques. Working knowledge of AWS solutions for ML and data science (e.g., Athena, SageMaker, Batch). The anticipated salary range for candidates who will work in South San Francisco, CA is $140,000 - $185,000. Individual pay may vary based on factors including skills, experience, location, and education. Septerna\'s compensation package also includes benefits, stock options, and annual target bonus for full-time positions. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, gender identity, protected veteran status, or status. California Consumer Privacy Act Privacy Notice: If you are a California resident, click here for our CCPA Notice.
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