Sr. 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&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. 

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 language 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.  

Required 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 

• 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