Employment Information
About Carlsmed
Our mission is to improve outcomes and decrease the cost of healthcare for spine surgery and beyond. The Carlsmed aprevo® personalized surgery platform is designed to improve the standard of care for spine surgery one patient at a time.
Position Description
As the Senior Data Scientist - Surgical Intelligence, you are responsible for the continuous improvement of surgical planning by collecting and leveraging clinical insights, surgeon feedback and advanced data analytics to help the Company consistently develop the optimal alignment plan and devices for each patient, one patient at a time. You will also work on projects related to proprietary AI based planning and analysis tools. This role reports to the Director of Medical Affairs, and works closely with Enabling Technologies, Advanced Manufacturing Technologies and Clinical Affairs.
Responsibilities
- Analyze and leverage post-operative alignment data to develop predictive models including the development of 3D models for global alignment planning and reciprocal alignment changes in the cervical and thoracolumbar spine.
- Support the development of 3D models for global alignment planning.
- Assist in developing methods to apply prior radiograph data to the 3D pre-operative plan to assess post-op imaging in 3D.
- Assist in developing image processing algorithms and methods to intraoperatively assess implant position in relation to the 3D plan.
- Analyze post-operative imaging and incorporate data findings into improved planning algorithms.
- Identify possible causes and propose solutions for cases exceeding targeted intervertebral and global alignment.
- Be current with clinical literature and update company colleagues on new data related to spinal alignment parameters.
- Support project work to develop new intra-operative analysis tools.
- Assist in the development of plan parameters for the cervical spine.
- Collaborate with internal and external researchers to publish clinically meaningful data that will be compelling to all healthcare stakeholders, including payers.
Qualifications
- MS degree in a technical field, including Bioengineering, Life Sciences, Computer Sciences, Mathematics or related medical/scientific field; PhD preferred.
- At least 5 years of relevant experience in medical devices; experience in spine/orthopedics is highly desired.
- Experience with medical imaging systems and medical image analysis preferred.
Skills
- Proficiency in Excel, Power BI (Data Warehouse), Python (scripting), or equivalent statistical analysis tools.
- Knowledge of Modeling & FEA: ANSYS, Abaqus, HyperWorks, CREO, Mimics, Amira, 3D Slicer
- Excellent verbal and written communication
- Willingness to wear multiple hats when needed.
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 accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations 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 & vision insurance premiums, a 401(k) plan with employer matching and unlimited PTO. The expected pay range is: $140,000-170,000 annually. Compensation may vary based on related skills, experience, and relevant key attributes.
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