Data Science Specialist - Healthcare Analytics
Remote - Utah, United States
Job Description:
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 Science Specialist – Healthcare Analytics, 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:
- Design, develop, and deploy models that analyze complex healthcare data using advanced data science techniques.
- Work closely with clinical experts and researchers to derive actionable healthcare insights and recommendations.
- Utilize cloud platforms to build scalable data analytics pipelines and AI models.
- Collaborate with cross-functional teams to integrate AI/ML models into existing solutions and workflows.
- Effectively communicate complex findings to key 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:
- Bachelor’s Degree or higher AND 5+ years of data science experience with a focus on healthcare analytics.
OR
- High School Diploma/GED from AND 9 years of data science experience with a focus on healthcare analytics.
AND
In addition to the above requirements, the following are also required:
- Proven experience working with healthcare data, unstructured, clinical, and medical coding data.
- Experience with programming languages, databases, and data visualization tools.
- Experience with AI and machine learning technologies and platforms (e.g. TensorFlow, PyTorch, PyTorch Lightning, TorchServe, MLflow, AWS SageMaker)
- Experience with cloud services and data pipelines
Additional qualifications that could help you succeed even further in this role include:
- Master’s degree in data science, computer science, applied mathematics, or related field from an accredited institution
- Strong communication and collaboration skills
- Experience with AWS
- Experience with Python, SQL, and data visualization tools (e.g. Quicksight, Tableau, Power BI)
- Experience with predictive modeling, deep learning, LLM applications, and NLP techniques
- Knowledge of medical classification systems (e.g. CPT, ICD-10)
- Knowledge of revenue cycle and denials management solutions
Work location:
- Remote
Travel: May include up to 5% domestic
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 $137,439 - $167,981, 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-RewardsResponsibilities 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.
Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.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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Job Profile
Must be legally authorized to work Must be legally authorized to work in country Must be legally authorized to work in country of employment Must be legally authorized to work in country of employment without sponsorship Must be legally authorized to work in country of employment without sponsorship for employment visa status
Benefits/PerksCompetitive pay Competitive pay and benefits Dental Disability benefits Flexible Spending Accounts Health Savings Accounts Life Insurance Medical Paid absences Relocation assistance Remote-first company Retirement benefits Vision
Tasks- Analyze healthcare data
- Build data analytics pipelines
- Collaborate with clinical experts
- Communicate findings
- Design and deploy models
- Integrate AI/ML models
- Training
AI Analytics Applications AWS AWS SageMaker Branding Cloud Cloud platforms Coding Collaboration Communication Communications Compliance Computer Science CPT Data Data Science Data Visualization Deep Learning Healthcare Healthcare Analytics Healthcare Data ICD-10 IT Machine Learning Medical Coding ML MLFlow NLP Power BI Predictive Modeling Python PyTorch Quicksight Revenue Cycle Sagemaker Security SQL Tableau Teams TensorFlow Training Workflows
Experience5 years
EducationBachelor's degree Computer Science GED Higher High school diploma High school diploma/GED Master's degree
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9