Septerna
Staff Scientist/Senior Staff Scientist, Machine Learning (industry experience re
Septerna, South San Francisco, California, us, 94083
Staff Scientist/Senior Staff Scientist, Machine Learning (industry experience required)
Septerna is a biotechnology company based in South San Francisco, CA on a mission to develop life-changing medicines for patients with the vision to become the industry-leading G protein-coupled receptor (GPCR)-focused drug discovery company. We are excited to expand our multidisciplinary team of individuals focused on creating revolutionary medicines to address the unmet needs of patients. At Septerna we strive to embrace diversity of thought, expertise, and background through collaboration. We are committed to the development of meaningful therapeutics for patients with indications of high unmet need. This is a tremendous opportunity to work with talented individuals on the frontlines of therapeutic discovery and development. Septerna is seeking an experienced Data Scientist for our Data Science and ML team to drive our drug discovery efforts through the application of advanced data science and machine learning techniques. Key responsibilities: Apply machine learning techniques to drug hit finding and molecular property prediction. Work extensively with chemical data, including various molecular representations. Utilize machine learning libraries, platforms, and infrastructure to build, train, and evaluate models. Collaborate closely 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 the performance of models using appropriate metrics and iterate to improve their accuracy and applicability. Communicate findings and insights clearly and effectively to both technical and non-technical audiences. Stay current with the latest advancements in machine learning for drug discovery and recommend their adoption where appropriate. Qualifications: Ph.D. in a quantitative field with 5+ years of relevant industry experience. Strong understanding of the principles and application of machine learning in drug discovery. Proven experience in building and deploying ML models for tasks such as chemical property prediction or hit identification. Proficiency in handling and analyzing chemical data using relevant tools and libraries. Experience with various molecular representations. Strong programming skills in Python and experience with relevant data science and machine learning libraries. Familiarity with databases and experience working with large datasets. Experience with cloud computing platforms for ML model training and data storage. Excellent communication, presentation, and collaboration skills. Preferred skills Experience working with DNA-encoded library data and analysis. Familiarity with cheminformatics and/or computational chemistry techniques. Working knowledge of AWS solutions for ML and data science. The anticipated salary range for candidates who will work in South San Francisco, CA is $140,000 - $185,000. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
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Septerna is a biotechnology company based in South San Francisco, CA on a mission to develop life-changing medicines for patients with the vision to become the industry-leading G protein-coupled receptor (GPCR)-focused drug discovery company. We are excited to expand our multidisciplinary team of individuals focused on creating revolutionary medicines to address the unmet needs of patients. At Septerna we strive to embrace diversity of thought, expertise, and background through collaboration. We are committed to the development of meaningful therapeutics for patients with indications of high unmet need. This is a tremendous opportunity to work with talented individuals on the frontlines of therapeutic discovery and development. Septerna is seeking an experienced Data Scientist for our Data Science and ML team to drive our drug discovery efforts through the application of advanced data science and machine learning techniques. Key responsibilities: Apply machine learning techniques to drug hit finding and molecular property prediction. Work extensively with chemical data, including various molecular representations. Utilize machine learning libraries, platforms, and infrastructure to build, train, and evaluate models. Collaborate closely 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 the performance of models using appropriate metrics and iterate to improve their accuracy and applicability. Communicate findings and insights clearly and effectively to both technical and non-technical audiences. Stay current with the latest advancements in machine learning for drug discovery and recommend their adoption where appropriate. Qualifications: Ph.D. in a quantitative field with 5+ years of relevant industry experience. Strong understanding of the principles and application of machine learning in drug discovery. Proven experience in building and deploying ML models for tasks such as chemical property prediction or hit identification. Proficiency in handling and analyzing chemical data using relevant tools and libraries. Experience with various molecular representations. Strong programming skills in Python and experience with relevant data science and machine learning libraries. Familiarity with databases and experience working with large datasets. Experience with cloud computing platforms for ML model training and data storage. Excellent communication, presentation, and collaboration skills. Preferred skills Experience working with DNA-encoded library data and analysis. Familiarity with cheminformatics and/or computational chemistry techniques. Working knowledge of AWS solutions for ML and data science. The anticipated salary range for candidates who will work in South San Francisco, CA is $140,000 - $185,000. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
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