Sr. Electrolyte Data Scientist
Anthro
Data Science
Alameda, CA, USA
USD 116k-145k / year + Equity
Posted on Aug 2, 2025
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.
Preferred 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