Scientist Data - Hybrid - Eagan, MN

 

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Job Description:

Data Scientist (Solventum)

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.

The Impact You’ll Make in this Role

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:

How you will make an impact

• 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

Your Skills and Expertise 
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

OR

• 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

OR

• 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

OR

• 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 work and communicate effectively with multidisciplinary teams spanning R&D, Manufacturing, Quality, and Regulatory

Work location:

• Hybrid Eligible (Job Duties allow for some remote work but require travel to Eagan site at least 3 days per week)

Travel: May include up to 10% domestic/international

Relocation Assistance: May be authorized

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Supporting Your Well-being 

Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. 

Applicable to US Applicants Only:The expected compensation range for this position is $106,000 - $145,750, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-Rewards

   

Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process.  Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.

Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.

Solventum is an equal opportunity employer.  Solventum  will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

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