Chemical Data Scientist

ChampionX•Sugar Land, TX

13d

About The Position

Disclaimer: SLB completed the acquisition of ChampionX on July 16, 2025. If selected for this position, your employment will begin with ChampionX and will transition to SLB as part of the planned integration. We are looking for a highly motivated Chemical Data Scientist in our Chemical Artificial Intelligence group located in Sugar Land, Texas . The Chemical Data Scientist will focus on computational chemistry and molecular modelling. 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!

Requirements

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).

Nice To Haves

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.

Responsibilities

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.