Data Scientist

Key Skills

Data Analysis, Data science techniques, Deep Learning, Effective communication skills, GPUs, Image processing, Leadership, Linux Operating system, Machine learning techniques, Python Programming, R Programming, Signals

Job Description

Position Focus:

The Yale/Yale New Haven Hospital Center for Outcomes Research and Evaluation (CORE) is a leading national outcomes research center dedicated to transforming healthcare for the betterment of people and society by leveraging data, analytics, and technology. We have assembled a talented, multidisciplinary group who are committed to developing solutions to the practical needs of medicine and healthcare. Our organization combines the highest academic ideals with a pragmatic approach that emphasizes the production of useful knowledge. We are distinguished by our creativity, dedication, experience, and skills – and our commitment to having our work make a tangible difference to patients, the public, and society. For additional information on CORE, please visit our website: www.medicine.yale.edu/core.

Essential Duties

Develop and execute new and/or highly complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.

Required Education and Experience

Master’s Degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, or a quantitative field such as astronomy or geology, economics, health policy, health services research, public policy, or a related field and two years of experience or an equivalent combination of education and experience.

Required Skill/Ability 1:

Expertise in working with Linux and Python.

Required Skill/Ability 2:

Ability to work with large structured and unstructured datasets, and GPU-accelerated computing.

Required Skill/Ability 3:

Sound background in theoretical and applied machine learning/deep learning with applications to either language, signals, or images.

Required Skill/Ability 4:

Demonstrated strong ability to communicate technical ideas and results to non-technical customers in written and verbal formats.

Required Skill/Ability 5:

Strong organizational, time management, and leadership skills. Ability and willingness to work in a highly collaborative team environment and matrixed organization.

Preferred Education, Experience and Skills:

Experience in leading conference publications, particularly in the deep learning field. Strong background in data analysis with a diverse set of platforms, such as Python and/or R. Knowledge of advanced analytic approaches, including signal processing, image analysis, supervised and unsupervised machine learning, and deep learning.