Chemical Data Scientist

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!

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.

Minimum Qualifications:

• 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).

Preferred Qualifications:

• 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.

About Us:

ChampionX is now part of SLB, a global technology company driving energy innovation for a balanced planet. As innovators, that’s been our mission for nearly a century. We are a technology company that unlocks access to energy for the benefit of all. As innovators, that’s been our mission for nearly a century. Today, we face a global imperative to create a future with more energy, but less carbon. Our diverse, innovative change makers are focused on going further in innovation and inventing the new energy technologies we need to get there. For more news and information, visit SLB.com. Follow us on Facebook at @WeAreSLBGlobal, LinkedIn: SLBGlobal, or Instagram at @SLBGlobal.

Our Commitment to Diversity and Inclusion

We believe the best teams are diverse and inclusive, and we are on a journey to create a workplace where every employee can grow and achieve their best. We are committed to fair and equal treatment of employees and applicants. We recruit, hire, promote, transfer and provide opportunities for advancement on the basis of individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any employee or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran.