Anthro Energy is seeking an Electrolyte Data Scientist to drive data- and model-based innovation in electrolyte formulation for next-generation 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&amp;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. RequirementsKey Responsibilities  <ul><li>Develop generalizable and predictive models for properties and performance of electrolyte formulations. </li></ul><ul><li>Use computational chemistry/atomistic modeling methods to improve the electrolyte component/formulation screening. </li></ul><ul><li>Analyze electrochemical testing data, such as cycling behavior, impedance, and voltage curves, to extract performance insights and degradation signatures. </li></ul><ul><li>Develop battery cell diagnostics and cycle life predictions. </li></ul><ul><li>Apply natural language processing tools and techniques to screen scientific literature and extract relevant chemical and performance data.  </li></ul><ul><li>Collaborate with the product team to ensure electrolyte designs align with customer specifications. </li></ul><ul><li>Communicate findings through technical presentations and data reports, driving decision-making in R&amp;D and product.  </li></ul> Required Qualifications <ul> <li>Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, or a Data Science-related field. </li> <li>3+ years of experience </li> </ul><ul><li>Demonstrated experience in data analysis, statistical modeling, and machine learning (experience with molecular graph neural networks is a plus) </li></ul><ul><li>Experience with cheminformatics tools such as RDKit or Open Babel. </li></ul><ul><li>Familiar with computational chemistry techniques, such as DFT, MD, or atomistic modeling  </li></ul><ul><li>Proficient in Python (pandas, NumPy, scikit-learn, Tensorflow, PyTorch, Bayesian Optimization) and SQL for data manipulation and analysis.  </li></ul><ul><li>Knowledge of molecular graph neural networks is a strong plus </li></ul>Benefits<ul> <li>Competitive salary and equity compensation commensurate with experience. Expected salary range is $136,000 to $170,000 </li> <li>15 Vacation Days, 10+ Holidays, Sick time off</li> <li>Full medical, dental, and vision coverage for team members, 60% coverage for dependents</li> <li>401k with match</li> <li>Paid parental leave with flexible return-to-work policy</li> <li>Diverse and inclusive work environment</li> </ul>

Anthro is reimagining the future of energy storage. We are an advanced materials company developing solutions to some of the biggest problems facing the battery-dependent electrified future. Spun out of Stanford University, we&rsquo;ve created high-performance batteries with structural integrity and total safety.
Today, our customers use our flexible batteries to create advanced wearable electronics and medical devices with unprecedented functionality. Tomorrow, our ruggedized batteries will safely enable an electrified future. Anthro is proudly supported by world-class investors and a wide range of government grants. We are a group of pioneers, reimagining batteries to create a smarter, cleaner tomorrow.

Staff Electrolyte Data Scientist

Anthro Energy is seeking an Electrolyte Data Scientist to drive data- and model-based innovation in electrolyte formulation for next-generation 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&amp;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.&nbsp;RequirementsKey Responsibilities &nbsp;<ul><li>Develop generalizable and predictive models for properties and performance of electrolyte formulations.&nbsp;</li></ul><ul><li>Use computational chemistry/atomistic modeling methods to improve the electrolyte component/formulation screening.&nbsp;</li></ul><ul><li>Analyze electrochemical testing data, such as cycling behavior, impedance, and voltage curves, to extract performance insights and degradation signatures.&nbsp;</li></ul><ul><li>Develop battery cell diagnostics and cycle life predictions.&nbsp;</li></ul><ul><li>Apply natural language processing tools and techniques to screen scientific literature and extract relevant chemical and performance data.&nbsp;&nbsp;</li></ul><ul><li>Collaborate with the product team to ensure electrolyte designs align with customer specifications.&nbsp;</li></ul><ul><li>Communicate findings through technical presentations and data reports, driving decision-making in R&amp;D and product.&nbsp;&nbsp;</li></ul>&nbsp;Required Qualifications&nbsp;<ul> <li>Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, or a Data Science-related field.&nbsp;</li> <li>3+ years of experience </li> </ul><ul><li>Demonstrated experience in data analysis, statistical modeling, and machine learning (experience with molecular graph neural networks is a plus)&nbsp;</li></ul><ul><li>Experience with cheminformatics tools such as RDKit or Open Babel.&nbsp;</li></ul><ul><li>Familiar with computational chemistry techniques, such as DFT, MD, or atomistic modeling&nbsp;&nbsp;</li></ul><ul><li>Proficient in Python (pandas, NumPy, scikit-learn, Tensorflow, PyTorch, Bayesian Optimization) and SQL for data manipulation and analysis. &nbsp;</li></ul><ul><li>Knowledge of molecular graph neural networks is a strong plus&nbsp;</li></ul>Benefits<ul> <li>Competitive salary and equity compensation commensurate with experience. Expected salary range is $136,000 to $170,000 </li> <li>15 Vacation Days, 10+ Holidays, Sick time off</li> <li>Full medical, dental, and vision coverage for team members, 60% coverage for dependents</li> <li>401k with match</li> <li>Paid parental leave with flexible return-to-work policy</li> <li>Diverse and inclusive work environment</li> </ul>

Staff Electrolyte Data Scientist

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Anthro

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