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HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment.
Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise.
Emp Status
Regular Full timeWork Shift
Day (United States of America)Compensation Range
The base pay scale for this position is $68,811.60 - $75,010.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future.What you will be doingJOB DESCRIPTION
Post-Doctoral Fellowship
Computational Knee/ACL Biomechanics
Hospital for Special Surgery
Biomechanics Department
New York City, NY, USA
Position start date: Applications will be reviewed until position is filled.
Position duration: Two years, pending annual review
Degree Requirement: PhD in Biomechanics, Mechanical Engineering, Computer Science, or equivalent specialty; (exceptional MS-level applicants to be considered)
The mission of the Biomechanics Department at Hospital for Special Surgery (HSS) is to enable world-class orthopaedic care through innovative engineering. In this project, we are continuing to scale-up our physics-based, computational knee modeling workflow to develop a new digital-twin approach to guide anterior cruciate ligament (ACL) injury risk assessment, surgical decision making for ACL reconstruction, and rehabilitation after surgery. Our long-term goal is to change the paradigm of clinical care by integrating comprehensive, personalized, physics-based computational tools to augment and enhance clinical decision making in the pathway of clinical care of ACL patients. The mechanistic approach requires (a) incorporating image data from hundreds of subjects to identify anatomical factors associated with knee pathomechanics contributing to non-contact ACL injury and reinjury of ACL grafts; (b) integrating patient-specific knee kinetics obtained through motion analysis into our computational knee models; and (c) developing consensus-based recommendations for reproducibility in knee modeling.
The scientific goals are two-fold: 1) to identify how both anatomical factors (i.e., joint geometry and laxity) and functional factors (e.g., knee kinetics) relate to knee kinematics and ACL loading in young athletes and 2) to ensure reproducibility in modeling and simulation of the knee through a consensus-based, NIH-funded, multi-institutional effort.
This project is conducted in close collaboration with the Sports Medicine Service at HSS. It integrates physics-based computer simulation, epidemiology, clinical data, and uncertainty analysis. The work is clinical and translational necessitating a fellow with strong technical aptitude, exceptional communication skills, and the ability to work collaboratively in diverse teams.
The fellow will be supervised by Carl Imhauser, PhD in the Biomechanics Department and our multidisciplinary team of orthopaedic surgeons, radiologists, bioengineers, clinical epidemiologists, and statisticians. Salary is commensurate with experience.
We are looking for an individual with the following traits:
• Passion for musculoskeletal biomechanics focusing on the knee and the ACL
• Desire to rapidly learn new skills to creatively solve problems in a dynamic and fast-paced work environment
• Strong organizational skills
• Independently motivated, self-directed, and solution-driven
• Ability to work independently and as part of a team
• Strong collaborative attitude with strong
• Ability to set goals and adhere to timelines
• Attention to detail in documenting research activities
• Strong written and verbal communication skills with the ability to explain complex topics to a multidisciplinary group
Responsibilities:
• Continue streamlining our computational knee modeling pipeline to rapidly develop and analyze populations of knee models (sample sizes ≥200)
• Use GitHub for code storage, management, and version control
• Synthesize large, diverse sets of experimental biomechanical and clinical data for model validation, injury risk modelling, and treatment planning
• Work closely with statistical experts implementing uncertainty quantification, calibration, and dimensionality reduction methods
• Maintain software, licensing, and data storage infrastructure
• Provide detailed technical documentation of workflows and findings and unify advancements with those of our knee modeling team
• Communicate results of analyses to a diverse group of engineers, surgeons, epidemiologists, statisticians, and therapists through oral presentations at weekly/monthly group meetings
• Disseminate findings thorough presentation at national and international conferences and through publication in peer-reviewed scientific journals
• Cultivate managerial and leadership skills by training and supervising engineering undergraduate and graduate students, medical students, and orthopaedic residents and fellows, who will participate in research projects
Required qualifications:
• Exceptional computer programming and scripting skills (MATLAB, Python, C, etc.)
• Training in multibody dynamics theory and software (MSC ADAMS, OpenSim)
• Experience with CAD and reverse engineering software. E.g., SolidWorks, ProEngineer, GEOMAGICS, and DesignX
• Experience in clinical and translational biomechanics research
• Exceptional written, spoken, and interpersonal communication skills
• Experience in project management and organization
Desirable qualifications:
• Knowledge of applied optimization and statistical techniques (i.e., machine learning)
• Training in computer science and software architecture
• Experience in experimental biomechanics testing
• Graduate course work in statistics including Bayesian methods
• Experience coding statistical software (for example: R)
• Extensive experience (≥3 yrs an asset) using multibody dynamics software including MSC ADAMS and associated scripting languages
• Experience in image processing methods including exposure to commercial packages for 3D reconstruction of medical image data such as MIMICS
Non-Discrimination Policy
Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.