Chemical Data Scientist

• Ph.D. in Chemistry, Geology, Chemical Engineering, Petroleum Engineering or related fields with 6+ years of experience; or M.S. in Chemistry, Geology, Chemical Engineering, Petroleum Engineering, or related fields with 8+ years of experience
• Prior experience in data integration and data engineering
• Proficiency with molecular simulation software (examples like Biovia Materials Studio).
• Strong foundation in computational chemistry: DFT, MD, Monte Carlo.
• Force field selection/parameterization; QM calculations for molecular properties.
• QSAR/QSPR modeling; data analysis and visualization.
• Scripting/workflow automation (Python, Perl, or Materials Studio scripting)., * Applied experience in surfactants, corrosion inhibitors, scale inhibitors, polymers, interfacial chemistry.
• Oil & gas / specialty chemicals industry background.
• Publication record or strong applied modeling project portfolio.
• Bonus: synthetic chemistry awareness for feasibility/scale-up and rough manufacturability signals.

If you are a passionate professional that likes to work in an autonomous, hands-on environment, we invite you to apply. This is your opportunity to join a growing company offering a competitive base salary and benefits.

What's in it For You:

• The ability to make an impact and shape your career with a company that is passionate about growth.
• The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best.
• Thrive in a company that values sustainability, drives a safety-focused culture and has been recognized as one of the most ethical companies in the world.
• Comprehensive benefits package starting day 1 of employment- medical, dental, vision, matching 401k, and more!

What You Will Do:

• Run and automate simulation workflows to screen candidates and generate property/performance predictions.
• Apply computational chemistry methods (DFT/MD/Monte Carlo) and interpret outputs to guide R&D decisions.
• Develop QSAR/QSPR models and analytics linking molecular features to target performance.
• Select/parameterize force fields; perform QM calculations for key molecular properties.
• Package simulation/AI results into actionable recommendations and validation plans with lab teams.