Clinical Research Engineer

Corin is seeking a skilled and highly motivated Clinical Research Engineer to join our Global Clinical Innovation team. Integration of digital clinical data across the patient journey is creating new opportunities to revolutionize patient treatment, clinical research, and augment decision making in orthopaedics. This role will apply advanced data analytics and modeling to generate innovative clinical research and insights on Corin’s hip arthroplasty technologies.

You will:

Lead execution of clinical research projects, from project proposal, data cleaning, analysis, reporting and presentation to internal and external stakeholders 

Exploratory data analysis, regression modelling, statistical testing  

Contribute to modelling of spinopelvic mobility, Hip/knee dynamics and kinematics, patient outcomes and activity/exercises, economics, business analytics, and other multi-variable and multi-variate questions 

Lead clinical study management and communication with study sites, research coordinators and surgeons 

Gain an expert knowledge of hip and knee anatomy and arthroplasty procedures and technology used by Corin and throughout industry 

Collaborate with a team of talented data scientists, engineers, and product specialists 

Train and mentor interns and students to assist with performing radiological measurements and analyses 

Assist in regulatory clinical data requirements, collection, and reporting 

Assist in research database development and maintenance 

Assist in development and maintenance of Corin’s analytic code repositories 

To be successful, you will need: 

Bachelor’s, Master’s or PhD degree in Engineering, Science, Data or Computer Science or similar  

Minimum of 2 years’ experience in a similar or relative role (PhD Graduates accepted) 

Experience with programming environments for data processing, manipulation, analysis, and graphing, such as R, Python, SPSS  

Experience in statistical modelling and statistical analysis, multivariate statistics, regression analysis, analysis of variance 

Ability to write research reports for publication in peer reviewed journals  

Ability to present research findings at local and international conferences 

Ability to work independently and in multidisciplinary teams 

Highly motivated to challenge historically accepted truths with data driven decision making 

Preferred Skills and Competencies:

Experience with image processing and manipulation software (ScanIP, Mimics), 3D CAD measurements (Solidworks)

Knowledge of Azure web environment (Cosmos Database, Azure ML) 

Knowledge of SQL/NoSQL queries

Experience in orthopaedics or other medical device industry

Knowledge of machine learning and deep learning techniques 

This is a great opportunity for internal candidates looking for their next challenge or to explore their interests in clinical research. Please ensure you have discussed your application with your manager prior to applying.

Please send your resume to the Human Resources Department, email address [email protected].