Data Scientist - Neurology - Sensory and Motion Analytics

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Mayo Clinic is the nation's best hospital (U.S. News & World Report, 2022-2023) and ranked #1 in more specialties than any other care provider. We have a vast array of opportunities ranging from Nursing, Clinical, to Finance, IT, Administrative, Research and Support Services to name a few. Across all locations, you’ll find career opportunities that support diversity, equity and inclusion. At Mayo Clinic, we invest in you with opportunities for growth and development and our benefits and compensation package are highly competitive. We invite you to be a part of our team where you’ll discover a culture of teamwork, professionalism, mutual respect, and most importantly, a life-changing career!

Mayo Clinic offers a variety of employee benefits. For additional information please visit Mayo Clinic Benefits. Eligibility may vary.

Position description

This position will work in Mayo Clinic's Neurology Artificial Intelligence Program (NAIP). NAIP is a small but growing team of clinicians, software engineers, and data scientists whose goal is to develop usable AI tools in the clinical practice with a secondary goal of scaling and commercializing.

This Data Scientist positions will be guided by NAIP's Data Science leaders and will be expected to work effectively with little supervision. The applicant should be able to think ahead beyond the next obvious step, problem solve, and present progress at regular intervals. This position will collaborate with clinicians, statisticians, technicians, and other relevant individuals for their respective data types.

A more detailed description of the position is below.

Data scientist (sensory and motion analytics):

This individual will be responsible for

• Developing statistical and machine learning methods to assist in clinical assessment of sensory and motoric wellbeing using multi-modal data streams, including EMG, language and speech assessment, and quantitative gait and movement analytics.

• Implementing the necessary data engineering infrastructure to integrate those tools into clinical practice.

This individual must possess the following knowledge and skills:

• Advanced programming ability and experience in at least one modern engineering programming language.
• Experience with Python, especially the Python data science and engineering ecosystem.
• Solid understanding of the fundamentals of statistical modeling and machine learning.
• Basic familiarity with data engineering practices, including distributed computing, data models, ETL/ELT pipelining, and data lake/lake house paradigms.
• Basic understanding of time series analysis for regression, classification, and forecasting.
• Basic familiarity with machine learning methods for computer vision, such as object detection, image segmentation, and pose estimation.
• Experience or basic knowledge of the biomechanics of human motion is desired, but not required.

Qualifications

PhD degree in domain-relevant sciences (mathematics, computer science, statistics, physics, data science, engineering, health science or other domain-relevant field) with at least four years of informatics, Artificial Intelligence, data science and/or machine learning.

The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Experience leading technical/quantitative teams and in-depth business or practice knowledge is required.

Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques, is required. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Exceptional time management is required. In addition, requires excellent analytical skills, consulting skills, ability to deploy data science solutions, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools. Expertise in the use of scientific computing and data management packages. Demonstrated ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports.

Additional qualifications

Demonstrated ability to provide vision and strategic direction at an institutional or enterprise level to departments/divisions and committees.

Exemption status

Exempt

Compensation Detail

Education, experience and tenure may be considered along with internal equity when job offers are extended. $152,734 - $229,153 annually.

Benefits eligible

Yes

Schedule

Full Time

Hours / Pay period

80

Schedule details

Normal weekday working hours, approximately 8am-5pm.

This position works remotely 50% or more; business need requires employees to live within a reasonable driving distance of campus

Weekend schedule

Very infrequent weekends

Remote

Yes

International Assignment

No

Site description

Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life.