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Sr. Electrolyte Data Scientist
ZipRecruiter - Alameda, California, United States, 94501
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Overview
Job DescriptionJob Description
Anthro Energy is seeking an Electrolyte Data Scientist to drive data- and model-based innovation in electrolyte formulation for next- batteries. This role blends computational chemistry, machine learning, and electrochemical data analysis to accelerate the discovery of high-performance materials. You’ll work cross-functionally with R&D and product teams to translate scientific insight into real-world solutions, enabling safer, longer-lasting energy storage systems. Seniority level will be determined based on the candidate’s experience and qualifications.
Requirements
Key Responsibilities
Develop generalizable and predictive models for properties and performance of electrolyte formulations.
Use computational
chemistry/atomistic
modeling methods to improve the electrolyte
component/formulation
screening. Analyze electrochemical testing data, such as cycling behavior, impedance, and voltage curves, to extract performance insights and degradation signatures. Develop battery cell diagnostics and cycle life predictions. Apply natural processing tools and techniques to screen scientific literature and extract relevant chemical and performance data. Collaborate with the product team to ensure electrolyte designs align with customer specifications. Communicate findings through technical presentations and data reports, driving decision-making in R&D and product. Qualifications Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, or a Data Science-related field. Demonstrated experience in data analysis, statistical modeling, and machine learning (experience with molecular graph neural networks is a plus) Experience with cheminformatics tools such as RDKit or Open Babel. Familiar with computational chemistry techniques, such as DFT, MD, or atomistic modeling Proficient in Python (pandas, NumPy, scikit-learn, Tensorflow, PyTorch, Bayesian Optimization) and SQL for data manipulation and analysis. Knowledge of molecular graph neural networks is a strong plus Benefits Competitive salary and equity compensation commensurate with experience. Expected salary range is $116,000 to $145,000 15 Vacation Days, 10+ Holidays, Sick time off Full medical, dental, and vision coverage for team members, 60% coverage for dependents 401k with match Paid parental leave with flexible return-to-work policy Diverse and inclusive work environment
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chemistry/atomistic
modeling methods to improve the electrolyte
component/formulation
screening. Analyze electrochemical testing data, such as cycling behavior, impedance, and voltage curves, to extract performance insights and degradation signatures. Develop battery cell diagnostics and cycle life predictions. Apply natural processing tools and techniques to screen scientific literature and extract relevant chemical and performance data. Collaborate with the product team to ensure electrolyte designs align with customer specifications. Communicate findings through technical presentations and data reports, driving decision-making in R&D and product. Qualifications Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, or a Data Science-related field. Demonstrated experience in data analysis, statistical modeling, and machine learning (experience with molecular graph neural networks is a plus) Experience with cheminformatics tools such as RDKit or Open Babel. Familiar with computational chemistry techniques, such as DFT, MD, or atomistic modeling Proficient in Python (pandas, NumPy, scikit-learn, Tensorflow, PyTorch, Bayesian Optimization) and SQL for data manipulation and analysis. Knowledge of molecular graph neural networks is a strong plus Benefits Competitive salary and equity compensation commensurate with experience. Expected salary range is $116,000 to $145,000 15 Vacation Days, 10+ Holidays, Sick time off Full medical, dental, and vision coverage for team members, 60% coverage for dependents 401k with match Paid parental leave with flexible return-to-work policy Diverse and inclusive work environment
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