Introduction to Solventum and Our Mission
Solventum, born out of the corporate spin-off of 3M Healthcare, is a pioneering company at the forefront of healthcare innovation. We are dedicated to enabling better, smarter, and safer healthcare solutions that improve lives. By combining cutting-edge technology with compassion and empathy, we create game-changing innovations at the intersection of health, material, and data science. Our mission is to change patients' lives for the better while empowering healthcare professionals to perform at their best. We believe that people and their wellbeing are at the heart of every scientific advancement we pursue, and we partner closely with the brightest minds in healthcare to ensure our solutions meld the latest technology with care and understanding.
Job Highlights and Overview
We are seeking an experienced and talented Data Science Specialist - Healthcare Analytics to join our team. As a key member of our innovative 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. Your role will be crucial in designing, developing, and deploying models that analyze complex healthcare data using advanced data science techniques, working closely with clinical experts and researchers to derive actionable healthcare insights and recommendations, and utilizing cloud platforms to build scalable data analytics pipelines and AI models.
Key Responsibilities
- Design and Development: Design, develop, and deploy models that analyze complex healthcare data using advanced data science techniques, focusing on delivering actionable insights that drive healthcare innovation.
- Clinical Collaboration: Work closely with clinical experts and researchers to derive actionable healthcare insights and recommendations, ensuring that our solutions are grounded in both scientific rigor and clinical relevance.
- Cloud Platform Utilization: Utilize cloud platforms to build scalable data analytics pipelines and AI models, leveraging the power of cloud computing to accelerate our innovation pipeline.
- Cross-Functional Collaboration: Collaborate with cross-functional teams to integrate AI/ML models into existing solutions and workflows, ensuring seamless adoption and maximizing impact.
- Communication: Effectively communicate complex findings to key stakeholders, including clinical professionals, researchers, and business leaders, to drive informed decision-making and strategic planning.
Essential Qualifications
To be successful in this role, you will need:
- Education and Experience: A Bachelor's Degree or higher AND 5+ years of data science experience with a focus on healthcare analytics, OR a High School Diploma/GED AND 9 years of data science experience with a focus on healthcare analytics.
- Healthcare Data Experience: Proven experience working with healthcare data, including unstructured, clinical, and medical coding data, with a deep understanding of the complexities and nuances of healthcare datasets.
- Technical Skills: Experience with programming languages, databases, and data visualization tools, as well as AI and machine learning technologies and platforms (e.g., TensorFlow, PyTorch, PyTorch Lightning, TorchServe, MLflow, AWS SageMaker).
- Cloud Services Experience: Experience with cloud services and data pipelines, with the ability to design and deploy scalable, secure, and efficient data analytics solutions in the cloud.
Preferred Qualifications
While not required, the following qualifications can help you succeed even further in this role:
- Advanced Degree: A Master's degree in data science, computer science, applied mathematics, or a related field from an accredited institution, demonstrating advanced knowledge and skills in data science and analytics.
- Strong Communication and Collaboration Skills: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, including clinical professionals, researchers, and business leaders.
- AWS Experience: Experience with AWS, including AWS SageMaker, with a deep understanding of the capabilities and limitations of AWS services.
- Programming Languages: Experience with Python, SQL, and data visualization tools (e.g., Quicksight, Tableau, Power BI), with a strong foundation in programming principles and data analysis.
- Predictive Modeling and Deep Learning: Experience with predictive modeling, deep learning, LLM applications, and NLP techniques, with a strong understanding of the potential and limitations of these technologies in healthcare analytics.
- Medical Classification Systems: Knowledge of medical classification systems (e.g., CPT, ICD-10), with a deep understanding of the complexities and nuances of medical coding and classification.
- Revenue Cycle and Denials Management: Knowledge of revenue cycle and denials management solutions, with a strong understanding of the challenges and opportunities in healthcare revenue cycle management.
Skills and Competencies
To succeed in this role, you will need to possess a unique combination of technical, business, and interpersonal skills, including:
- Data Analysis and Interpretation: Strong data analysis and interpretation skills, with the ability to extract insights from complex datasets and communicate findings effectively to stakeholders.
- Technical Expertise: Deep technical expertise in data science, machine learning, and cloud computing, with a strong foundation in programming principles, data structures, and algorithms.
- Clinical Knowledge: Strong clinical knowledge, with a deep understanding of the complexities and nuances of healthcare systems, including medical coding, classification, and revenue cycle management.
- Collaboration and Communication: Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams, including clinical professionals, researchers, and business leaders.
- Adaptability and Flexibility: Strong adaptability and flexibility, with the ability to thrive in a fast-paced, dynamic environment and adjust to changing priorities and deadlines.
Career Growth Opportunities and Learning Benefits
- Professional Development: Opportunities for professional development, including training, mentorship, and education, to help you stay up-to-date with the latest technologies and trends in data science and healthcare analytics.
- Career Advancement: Opportunities for career advancement, including promotions, lateral moves, and new challenges, to help you grow and develop your career.
- Networking: Opportunities to network with other professionals in the field, including data scientists, clinicians, and researchers, to help you build relationships and stay connected with the latest developments in healthcare analytics.
- Innovation: Opportunities to work on innovative projects, including the development of new technologies, products, and services, to help you stay at the forefront of healthcare innovation.
Work Environment and Company Culture
- Integrity: We operate with integrity, transparency, and honesty, in all our interactions, including our relationships with employees, customers, and partners.
- Respect: We respect the diversity, dignity, and individuality of all employees, customers, and partners, and strive to create an inclusive and welcoming environment.
- Collaboration: We collaborate and work together as a team, sharing knowledge, expertise, and resources, to achieve our goals and objectives.
- Innovation: We encourage innovation, creativity, and experimentation, and provide opportunities for employees to develop new ideas and solutions.
Compensation, Perks, and Benefits
- Medical, Dental, and Vision: Comprehensive medical, dental, and vision insurance, to help you and your family stay healthy and well.
- Health Savings Accounts: Health savings accounts, to help you save for healthcare expenses and plan for the future.
- Disability Benefits: Disability benefits, to help you protect your income and well-being in the event of illness or injury.
- Life Insurance: Life insurance, to help you protect your loved ones and provide for their financial security.
- Voluntary Benefits: Voluntary benefits, including employee assistance programs, to help you manage stress, balance work and life, and achieve your personal and professional goals.
- Paid Absences and Retirement Benefits: Paid absences and retirement benefits, to help you plan for the future, enjoy time off, and retire with confidence.
Conclusion and Call to Action
Apply Now