Clinical Research Data Engineer

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 Clinical Research Data Engineer, you are responsible for the analysis and datafication of medical imaging to develop advanced algorithms that can inform continuous innovation in surgical planning software. You will work on projects related to proprietary implants, instrumentation, and design automation systems to enable personalized surgery.  This role also supports the Clinical Affairs, Engineering, Digital/Surgical and RA/QA teams with emphasis on the collection and analysis of imaging data from multiple sources.

Local Candidates Only: this opportunity requires an on-site presence in Carlsbad CA.  This position does not offer relocation assistance or H1B Visa Sponsorship.

Responsibilities

• Develop predictive models which will serve as a guiding light for improvement in surgical planning.
• Utilize data mining and predictive analytics to advance personalized outcome predictions for individual patients.
• Apply clinical data intelligence to develop, track, analyze and report on data management and performance metrics.
• Maintain radiographic alignment database, review data entries, issue queries and clean data as needed.
  
• Evaluate and explore data from diverse sources to test hypotheses that correlate perioperative observations to radiographic outcomes.
  
• Develop and deploy monitoring/assessment techniques to ensure robustness and quality of raw and aggregated data.
  
• Support content development for conference abstracts, manuscripts, training, and marketing materials.
• Engage external experts for independent data assessments (e.g., core laboratory). 

Qualifications

• BS degree in a technical field, including Engineering, Life Sciences, Computer Sciences, Mathematics or related medical/scientific field; MS or graduate degree preferred.
  
• Experience with: 
  • integrating and analyzing diverse data 
  • study designs, data management, predictive models and analysis techniques 
  • machine learning and AI 
  • medical and healthcare industry highly desirable
    
  • medical imaging systems and medical image analysis preferred

Skills

• Proficiency in Excel, Power BI, SQL, and Python, or equivalent statistical analysis tools.
• 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: $105,000-130,000 annually. Compensation may vary based on related skills, experience, and relevant key attributes.