Data Intelligence and Planning Specialist
Carlsmed
Position Description
We are seeking a highly skilled and motivated Data Intelligence and Planning Specialist with a solid foundation in spinal surgery, radiographic interpretation, research, and a strong proficiency in analytics. This role bridges clinical insight with advanced analytics and plays a central role in supporting our intelligent surgical planning tools and research initiatives. The ideal candidate brings a unique blend of clinical knowledge, imaging proficiency, and experience in working with large datasets and predictive models. This position offers a dynamic opportunity to work cross-functionally with clinical, engineering, and AI teams to enhance surgical planning, analyze surgical outcomes, and drive innovation across the Carlsmed platform.
Responsibilities
- Develop expertise in using Carlsmed’s AI-enabled systems to analyze large amounts of spinal imaging data (X-ray, CT, MRI), to document consistency, accuracy, and quality in radiographic interpretation and measurements.
- Evaluate radiographic outcomes to assess alignment against preoperative plans and provide recommendations to help optimize surgeon specific planning.
- Identify and extract clinical insights from internal datasets to support research, education, and support R&D.
- Provide guidance into data inputs in collaboration with Engineering, Data Science, and Software teams to ensure clinical relevance in AI-based workflows.
- Collaborate with Data Science to provide clinically relevance input for AI/ML models to support continuous improvement in preoperative planning based on postoperative data. Support ongoing optimization of models to predict radiographic outcomes.
- Contribute to abstract submissions, publications, and evidence generation.
- Develop dashboards and tools to monitor model performance and accuracy across large patient cohorts.
Qualifications
- Bachelor’s degree in health sciences, biomedical informatics, computational science, biostatistics, bioengineering, or a related field.
- Minimum 5 years of experience in orthopedic or spine settings, with either a graduate-level clinical degree or substantial clinical research/imaging experience, including collaboration with engineering or data science teams on AI/ML or software-based clinical tools.
- Strong understanding of spinal alignment parameters, surgical planning workflows, and radiographic measurements is a plus.
- Proficiency with imaging software (e.g., PACS, Surgimap, Mimics) and familiarity with DICOM-based imaging analysis.
- Experience with data interpretation, outcomes analysis, or collaboration with AI/ML teams in a healthcare setting.
- Experience and fluency in Python, R, and SQL or similar.
- Scientific publication or abstract authorship experience is highly desirable.
- Excellent verbal and written communication skills and a proven ability to work cross-functionally with clinical, product, and technical teams.
Equal Opportunity Employer
Carlsmed is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Carlsmed is committed to providing reasonable accommodation for candidates with disabilities in our recruitment process. If you need assistance or accommodation due to a disability, please let us know.
Compensation
We are pleased to provide a competitive salary and benefits. Our benefits reflect our investment in the overall health and well-being of our employees and their families, including paying 100% of monthly healthcare, dental and vision insurance premiums, a 401(k) plan with employer matching, and unlimited PTO. The expected pay range is $120,000 - $140,000. Compensation may vary based on related skills, experience, and relevant key attributes.