Job Details

Location: San Francisco, CA

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.

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.
• 3+ years of experience.
• 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 $136,000 to $170,000.
• 15 vacation days, 10+ holidays, sick time off.
• Full medical, dental, and vision coverage for team members, 60% coverage for dependents.
• 401(k) with match.
• Paid parental leave with flexible return‑to‑work policy.
• Diverse and inclusive work environment.

Seniority Level

• Mid‑Senior level

Employment Type

• Full‑time

Job Function

• Engineering and Information Technology

Industries

• Biotechnology Research and IT Services and IT Consulting