Post Doctoral Research Fellow

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Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success.

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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 time

Work Shift

Day (United States of America)

Compensation Range

The base pay scale for this position is $71,564.06 - $78,010.40. 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 doing

JOB 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  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 Git Hub for code storage, management, and version…