Posting Number SP003205P
Position Title Computational Data Scientist Artificial Intelligence
Division/College University Research (Div)
Department Institute for Interdisciplinary Data Sciences
FLSA Status Overtime Exempt
Employee Category Exempt
Pay Range $85,000 per year or higher depending on experience
Type of Appointment Fiscal Year
Full Time/Part Time Full Time
The Computational Data Scientist (Artificial Intelligence (AI)/Machine
Learning focus) will be a part of a new initiative in Computational One
Health at the University of Idaho. Computational One Health is a widely
adopted framework that views human, wildlife, and livestock health as an
integrated system. We seek to add four new hires to our Computational One
Health team: A Computational Data Scientist (Machine Learning / Artificial
Intelligence (AI) focus—this position), a Computational Scientist, a Data
Scientist, and a Bioinformatics Data Scientist. This position will complement
and strengthen our Computational One Health team by providing expertise in AI
and machine learning applications. This expertise is critical for the analysis
and forecasting components of One Health and will rely on the data streams
provided by the Bioinformatics Data Scientist and Data Scientist positions in
The Computational Data Scientist will develop mathematical and machine
learning approaches to forecast the risk of animal-borne infectious diseases
and the effectiveness of potential interventions. This position will also
collaborate with faculty and researchers within the Institute for
Interdisciplinary Data Sciences (IIDS) Research Computing and Data Services
(RCDS) core facility, as well as faculty and researchers across campus.
Duties of this position will include assisting to develop and lead research
projects as a Principal Investigator (PI) or Co-PI including writing grant
proposals, writing code, managing projects, compiling, analyzing, and
maintaining associated data, and publishing papers in peer-reviewed journals.
This position will lead research projects and collaborate with staff,
students, and postdocs. They will employ strong communication skills in a
highly collaborative team to accomplish shared goals.
The Institute for Interdisciplinary Data Sciences (IIDS) is a research
institute within the Office of Research and Economic Development (ORED) at
the University of Idaho. The mission of IIDS is to empower researchers to
fully harness the potential of the data revolution by provisioning and
administering critical University research infrastructure related to genomics,
bioinformatics, research computing, and data science. IIDS houses three
service units including Research Computing and Data Services (RCDS), the
Genomics and Bioinformatics Resources Core (GBRC), and the Initiative for
Bioinformatics and Evolutionary Studies (IBEST) and is a vibrant home for
interdisciplinary research for student, postdoc, and faculty participants.
IIDS participants can access expertise and infrastructure, support for
proposal development and grants management, and training and professional
Funding This position is contingent upon the continuation of work and/or
A visa sponsorship is available for the position listed in this vacancy.
Key Accountability Conducting and supporting collaborative team science in
Computational One Health by:
Providing all aspects of design, analysis, programming, testing, and
implementation of new and existing artificial intelligence and machine
Independently implementing and troubleshooting software pipelines that
incorporate artificial intelligence and machine learning approaches.
Effectively communicating (verbally and in writing) complex data
analysis, machine learning techniques and results to collaborators and
Communicating research findings through publications in peer-reviewed
journals, online repositories that document code used in simulations or
analyses (e.g., GitHub), and through presentations.
Mentoring and facilitating undergraduate and graduate research.
Collaboratively applying machine learning and other AI approaches to new
and existing databases and models developed by other Computational One
Health team members.
Engaging (as PI or Co-PI) with researchers on research plan development.
Developing (as PI or Co-PI) research proposals to federal, state, and
private agencies and foundations.
Key Accountability Contribute to research teams across campus by:
Collaborating with other researchers to resolve complex computational
problems and recommend and/or implement appropriate solutions.
Collaborating with laboratory and field colleagues to facilitate,
optimize, and troubleshoot data generation and analysis.
Contributing to a collaborative and congenial team environment with other
research groups across campus such as the Idaho Center for Agriculture,
Food, and the Environment (CAFE) and the Institute for Modeling
Collaboration and Innovation (IMCI), as well as activities such as
seminars, workshops, retreats, core meetings, and other associated
Collaborating with the RCDS team to identify priority technical
initiatives that support the institution's strategic plan as it applies to
research, research computing, and data management.
Helping guide improvements to campus resources and computing
infrastructure to increase institutional capacity to leverage AI and
Machine Learning methods.
Innovating, designing, developing, deploying, and maintaining modular
software systems and related technologies to support interactive data
management, visualization, and dissemination for the UI research
Collaborating with university staff and internal/external partners to
develop and integrate new services, tools, and products into the core IIDS
Customizing and adapting applications and databases as needed to meet
evolving partner and user-community requirements.
Consulting with potential scientific collaborators on a technical level to
match their scientific needs with possible technical solutions. (i.e.,
propose core research computing architectures or specific applications
where possible and provide other solutions if core architecture is not an
Serving as the point-of-contact for assigned funded projects and as a
support representative to manage and resolve technical issues encountered
by collaborators and other users (e.g., provide technical support for
collaborators by researching, developing, and implementing innovative
web/mobile based solutions that satisfy their needs).
Providing and coordinating technical support as needed via email, phone,
Slack, Zoom, and other methods.
Key Accountability Continued professional development by:
Maintaining current knowledge of computational science, especially in the
areas of artificial intelligence and machine learning.
Reviewing and keeping abreast of current scientific literature.
Actively participating in relevant professional societies and
Providing professional service to the broader research community including
serving as an independent reviewer for journal manuscripts and funding
Disseminating results by publication in peer-reviewed journals.
Developing scientific collaborations and relationships (e.g., attending
meetings and research conferences, seminars, and working with
At least 3 years demonstrated experience related to the domain of this
Writing research software with computer languages commonly used in
scientific programming (e.g., Python, R, MATLAB, Mathematica, C/C++).
Experience using common AI/Machine Learning frameworks such as TensorFlow,
PyTorch, scikit-learn, Caret, nnet, or similar.
Experience optimizing AI/Machine Learning algorithms, including the use of
distributed computing and GPU platforms.
Communicating with peers and coworkers on complex research and technology
issues and presenting technical content in diverse large group and
individual settings with people who have varying degrees of technical
experience as demonstrated in application materials.
Working both independently and within a team managing multiple complex
projects with competing deadlines.
Employing machine learning and artificial intelligence to conduct data-
intensive scientific research.
Evaluating machine learning results, including the use of confusion
matrices, ROC curves and AUC, learning curves, or similar metrics.
Feature extraction from tabular and image data.
Working with large data sets, especially in their preparation for
computationally intensive analyses or rendering them interoperable with
additional data sets.
PhD in Computer Science, Computational Biology, Bioinformatics, Systems
Biology, Biostatistics, Mathematics, Statistics, Data Science, or a
Required Licensures, Certifications or other
Ability to effectively use machine learning and artificial intelligence as
demonstrated by authorship on peer-reviewed scientific publications.
Knowledge of zoonotic pathogens and epidemiology.
Experience working in a UNIX/Linux command line environment.
Experience working with graduate and undergraduate researchers.
Serving as PI, Co-PI, or senior personnel on extramural grants.
Successfully developed and applied novel neural network architectures to
specific problem domains.
Experience with feature importance estimation for various AI/ML methods.
Ability to optimize AI/ML hyperparameters using automated grid searches
and other methods.
Experience with computer vision problems, including image recognition,
classification, and segmentation.
Ability to provide a portfolio of software and programs (e.g. GitHub)
highlighting the breadth and depth of candidate's ability to author
AI/machine learning solutions.
Degree Requirement Listed degree qualification is required at time of
Posting Date 01/21/2022
Open Until Filled Yes
Special Instructions to Applicants
The first consideration date for applications is 2/7/2022.
Background Check Statement
Applicants who are selected as final possible candidates must be able to pass
a criminal background check.
The University of Idaho (U of I) is an equal opportunity and affirmative
action employer committed to assembling a diverse, broadly trained faculty and
staff. Women, minorities, people with disabilities and veterans are strongly
encouraged to apply. In compliance with applicable laws and in furtherance of
its commitment to fostering an environment that welcomes and embraces
diversity, U of I does not discriminate on the basis of race, color, religion,
national origin, sex, age, sexual orientation, gender identity/expression,
disability, genetic information or status as any protected veteran or military
status in its programs or activities, including employment, admissions and
Cover Letter/Letter of Application
Required fields are indicated with an asterisk ().
How did you hear about this employment opportunity?
Association of Public and Land Grant Universities (APLU)
Chronicle of Higher Education
Department of Labor/Job Service including Job Central or Idaho Works
Higher Education Recruitment Consortium (HERC)
National Association of State Universities and Land-Grant Colleges (website)
Professional Listservs (Ex: NACUBO, AAAE, ISMC, etc.)
University of Idaho Website
Veterans in Higher Ed
Diverse: Issues in Higher Education
Inside Higher Ed
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