Scientist Data - Hybrid - Eagan, MN

At Solventum, we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum, and we’re committed to protecting your personal information—learn more in our Privacy Policy:

3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best.

Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.

As a Data Scientist within the Product Informatics & Modeling group you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:

• Developing machine learning and statistical models that extract insights from chemical, materials, and experimental datasets supporting accelerated formulation design, process optimization, and product performance prediction
• Integrating experimental and simulation-generated data to improve scientific understanding and accelerate decision making
• Designing and maintaining data pipelines, workflows, and analytical tools that enable reproducible scientific analyses
• Collaborating with R&D and business teams to frame scientific questions, develop modeling strategies, and translate research challenges into data-driven solutions.
• Communicating results and recommendations to both technical and non-technical stakeholders

To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:

• Ph.D. in Chemical Engineering, Chemistry, Materials Science, Computational Chemistry, Data Science, or STEM discipline with an emphasis on quantitative modeling, machine learning, or computational science confirmed before negotiated start date
• M.S. in Data Science with a Bachelor’s Degree in Chemical Engineering, Chemistry, Materials Science, or STEM field confirmed before negotiated start date AND 1 years of experience applying data science, modeling or informatics techniques in a private, public, government or military environment
• Bachelor’s Degree or higher in Chemical Engineering, Chemistry, Materials Science, or STEM field confirmed before negotiated start date AND 5 years of experience applying data science, modeling or informatics techniques in a private, public, government or military environment
• High School Diploma/GED AND 10 years of experience applying data science, modeling or informatics techniques in a private, public, government or military environment

Additional qualifications that could help you succeed even further in this role include:

• Strong foundation in organic chemistry, synthetic chemistry, polymer chemistry, materials science, or related chemical disciplines
• Experience developing statistical, machine learning, or predictive modeling solutions using Python and modern scientific computing libraries.
• Demonstrated curiosity, scientific rigor, and ability to solve ambiguous research problems
• Experience working and deploying machine learning solutions within a healthcare R&D environment
• Ability to…