What are the responsibilities and job description for the Lead Data Scientist position at NewYork-Presbyterian Hospital?
At NewYork-Presbyterian Hospital, Information Technology is at the forefront of our patient experience. Innovative technology, such as telehealth, remote patient monitoring and robotics, drives our initiatives addressing large-scale challenges that will yield better outcomes for patients and their families. Join our team to develop your career while creating solutions and services helping to define the future of data science in healthcare and that will improve the health and well-being of the communities we serve. Start your journey with us today!
Lead Data Scientist
This role will join a multi-disciplinary team at the forefront of developing, validating, and implementing machine learning-based tools into clinical practice to positively impact patient outcomes. This person will work under the direction of physician and scientific Investigators to lead research projects in targeted areas of potential clinical value, and help drive translation of rigorously validated models into clinical care. Examples include leveraging multi-modal datasets, such as electronic medical records, medical imaging, text-based clinical notes and advanced data science techniques, including deep learning, to detect undiagnosed disease, predict patient outcomes, and enable opportunistic screening. These efforts span multiple domains such as cardiology, acute care and women’s health, addressing challenges with both institutional and national relevance. There is also the potential opportunity to develop models to improve hospital operations and efficiency. A successful candidate will work collaboratively with clinicians, scientists, engineers, and business development teams—including researchers from Columbia University and Weill Cornell Medical College—in the execution of these goals from end-to-end of model development, validation and implementation. Furthermore, he/she/they should have an established skills and track record in scientific communication to participate in research dissemination activities, including publication in top peer-reviewed journals (as primary author and as a co-author) and presentation at local and national scientific and industry conferences. Be responsible for developing and implementing a research and data science agenda that advances and evaluates NYP’s initiatives for enhancing healthcare value (i.e., maximizing positive clinical outcomes, safety, service and efficiency). The data science agenda may consist of both hospital-based and grant-funded projects. The incumbent will work closely with the leadership of Information Technology, Transformation, and Quality and Patient Safety at NYP, along with other key stakeholders, to identify projects that are most relevant to the institution and also of interest to a national audience. The incumbent will establish collaborations with researchers from Columbia University and Weill Cornell Medical College. She/he/they will participate in research dissemination activities including publication and presentation at local and national scientific and industry conferences.
Preferred Criteria
Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.
NYP will not reimburse for travel expenses.
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Salary Range
$129,000-$193,000/Annual
It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.
Lead Data Scientist
This role will join a multi-disciplinary team at the forefront of developing, validating, and implementing machine learning-based tools into clinical practice to positively impact patient outcomes. This person will work under the direction of physician and scientific Investigators to lead research projects in targeted areas of potential clinical value, and help drive translation of rigorously validated models into clinical care. Examples include leveraging multi-modal datasets, such as electronic medical records, medical imaging, text-based clinical notes and advanced data science techniques, including deep learning, to detect undiagnosed disease, predict patient outcomes, and enable opportunistic screening. These efforts span multiple domains such as cardiology, acute care and women’s health, addressing challenges with both institutional and national relevance. There is also the potential opportunity to develop models to improve hospital operations and efficiency. A successful candidate will work collaboratively with clinicians, scientists, engineers, and business development teams—including researchers from Columbia University and Weill Cornell Medical College—in the execution of these goals from end-to-end of model development, validation and implementation. Furthermore, he/she/they should have an established skills and track record in scientific communication to participate in research dissemination activities, including publication in top peer-reviewed journals (as primary author and as a co-author) and presentation at local and national scientific and industry conferences. Be responsible for developing and implementing a research and data science agenda that advances and evaluates NYP’s initiatives for enhancing healthcare value (i.e., maximizing positive clinical outcomes, safety, service and efficiency). The data science agenda may consist of both hospital-based and grant-funded projects. The incumbent will work closely with the leadership of Information Technology, Transformation, and Quality and Patient Safety at NYP, along with other key stakeholders, to identify projects that are most relevant to the institution and also of interest to a national audience. The incumbent will establish collaborations with researchers from Columbia University and Weill Cornell Medical College. She/he/they will participate in research dissemination activities including publication and presentation at local and national scientific and industry conferences.
Preferred Criteria
- Master's or Doctoral degree or PhD
- Established track record of peer-reviewed publications, other academic research output and/or developing healthcare technologies.
- Experience working with clinical, imaging, signals or multimodal data and applying AI to solve problems in Medicine
- Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics or a related field; or equivalent experience
- 8 years of experience in data science and advanced analytics with proficiency in programming languages such as Python, R and SQL.
- 5 years experience with version control systems like Git, including workflows for collaboration and code management.
- 1 years experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data science projects.
- Experience with Continuous Integration/Continuous Deployment (CI/CD) processes to automate testing and deployment of data science models.
- Demonstrated ability to translate business needs into data solutions
- Thorough understanding of data architecture and modeling; proven experience to elicit requirements and develop constructs in conceptual and logical data models to support business
- Expertise in statistical methods, hypothesis testing, A/B testing and experimental design.
- Deep understanding of feature engineering and model evaluation metrics in the context of supervised and unsupervised learning techniques, including regression, classification, clustering and reinforcement learning.
- Strong knowledge of machine learning frameworks (e.g., Sklearn, Tensorflow, PyTorch)
- Experience working closely with non-technical stakeholders to understand their needs and translate them into data-driven solutions.
- Proficiency in presenting complex data insights in a clear and compelling manner.
- Drive data science projects independently from concept to execution.
- Knowledge and interest in operationalizing data science technologies and solutions by implementing a scalable and reproducible process in production environments.
- Proven capability to mentor junior data scientists, providing guidance in technical skills and best practices in data science methodologies.
- Assertive (yet diplomatic) personality and the ability to handle change; excellent written & oral communication
- Familiarity with the regulatory environment affecting data in a Health Care Services environment (e.g., HIPAA 5010)
- Process modeling experience
- Understanding of Big Data paradigm and NoSQL databases
- Candidates need to work well in extended project teams with little oversight
Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.
NYP will not reimburse for travel expenses.
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- 2024 “Great Place To Work Certified”
- 2024 “America’s Best Large Employers” – Forbes
- 2024 “Best Places to Work in IT” – Computerworld
- 2023 “Best Employers for Women” – Forbes
- 2023 “Workplace Well-being Platinum Winner” – Aetna
- 2023 “America’s Best-In-State Employers” – Forbes
- “Silver HCM Excellence Award for Learning & Development” – Brandon Hall Group
Salary Range
$129,000-$193,000/Annual
It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.
Salary : $129,000 - $193,000