Data Scientist AI Developer – HigherEdJobs

JOB OPENING ID: 242565

REGULAR/TEMPORARY: Regular

ORGANIZATIONAL GROUP: School Nursing

DEPARTMENT: School of Nursing

How to Apply

A cover letter, attached as the first page of your resume, describing how your experience meets the job requirements of this posting, is required to consider this position.

The School of Nursing seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan that extends worldwide, to fulfill the School’s strategic plan, and to sustain the excellence of the School of Nursing.

To learn more about diversity, equity, and inclusion visit: http://nursing.umich.edu/diversity/dei-faculty-and-staff .

Please visit http://www.nursing.umich.edu/ for more information about the School and visit https://hwconnections.com to learn more about the Healthy Lifetime program.

Summary

The Healthy Lifetime Program (HL) is a business entity within the School of Nursing that provides top-of-class services to older adults to support optimum health and independence in aging.  The program is completely virtual, including the continuing education of nurses who provide the services; therefore, the program is not bound to geographic locations for service provision.  The business offers `direct to consumer programming that integrates the School of Nursing faculty as providers and students as learners to fulfill curricular requirements. The HL program also contracts with other business entities to support their use of the program through licensing and other contractual agreements.

Healthy Lifetime (a University of Michigan startup) is seeking to hire a highly motivated and experienced Data Scientist who manages audio data and unstructured text. The candidate must be able to train advanced AI models, build and support cloud infrastructure for training and testing AI models, develop back-end services, and deploy front-end applications leveraging pre-trained AI models.

This is a full-time, term-limited position due to the source of salary funding for up to one (1) year. Support for this position will end if/when the Healthy Lifetime program ends. The salary range will be commensurate candidate’s experience. 

Responsibilities*

• Analyze, manage, and visualize heterogeneous datasets comprising audio data, unstructured text, assessment rubrics, psychological treatment results, and therapeutic interview outcomes using advanced computational data science, statistical, and ML/AI techniques. 
• Develop, train, test, and optimize AI models that deliver insights from our complex datasets. 
• Build and maintain cloud infrastructure for training and testing AI models. 
• Work closely with our development team to build and deploy user-friendly front-end applications that utilize these trained AI models. 
• Continuously monitor AI model performance and troubleshoot any challenges to ensure optimal efficiency. 
• Interact with multiple teams and partners to develop a deep understanding of our users’ needs and translate these into technical solutions. 
• Follow data protection regulations and maintain the confidentiality of sensitive information.

The above statements describe the general nature and level of work to be performed and are not an exhaustive list of all associated responsibilities.

Supervision is received from the Director of the Healthy Lifetime Program (HL). It will have some scientific collaboration with the Associate Director for Education and Training the Michigan Institute for Data Science.

Required Qualifications*

 Bachelor of Science in Computer Engineering (Master’s degree preferred) in Data Science, Computer Science, Statistics, or a related field 
 Five (5) years of experience in a similar role.
 Extensive experience working with audio data, unstructured text, natural language processing, and text mining.
 Proficiency with AI algorithms and models, focusing on Machine Learning and Deep Learning.
 Strong knowledge in cloud computing, preferably with experience using popular services like AWS, GCP, or Azure.
 Experience in building and deploying front-end applications.
 Strong programming skills, especially in Python, R, or Java.
 Excellent problem-solving skills, algorithm development expertise, attention to detail, and ability to work independently and in a team.

Attributes: 
* A high degree of initiative and resourcefulness.
* Must reliably manage responsibilities effectively to meet deadlines.
* Demonstrated project time management and relationship-building skills.
* Ability to set priorities, handle multiple assignments, and display excellent judgment while operating flexibly and professionally. A strong ability to multitask and remain focused is essential.
* Ability to work independently with minimal supervision and maximum collaboration in a team environment.
* Working knowledge of applicable university policies and procedures, including IRB applications, is preferred.
* Ability to promote the School of Nursing’s Declaration of Values to Empower each other to interrupt or disrupt disrespect; Practice communication that is beneficial, kind and true; Inspire and be inspired by our members’ worth, significance and integrity; Cultivate respect for ourselves and others routinely, publicly and privately.

Additional Information

Authorization to work in the U.S. is a precondition of employment. Applicants will not be sponsored for work visas.

Application Deadline

Job openings are posted for a minimum of seven calendar days.  This job may be removed from posting boards and filled any time after the minimum posting period has ended.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.

Job Detail

Job Opening ID

242565

Working Title

Data Scientist AI Developer

Job Title

BI Analyst Senior

Work Location

Ann Arbor Campus

Ann Arbor, MI

Full/Part Time

Full-Time

Regular/Temporary

Regular

FLSA Status

Exempt

Organizational Group

School Nursing

Department

School of Nursing

Posting Begin/End Date

1/23/2024 – 2/06/2024

Career Interest

Administration

Engineering & Architecture

Information Technology