Job ID: UT-108104 (99390824)A5P
Part-time Data Scientist with Machine Learning, Python, AWS and biological data sheets experience
Location: Taylorsville, UT (DHHS)
Duration: 12 months (Hours/Week 20)
Positions: 1 (1)
required skills:
Scoring:
25%-Python knowledge and experience
30%-Machine Learning expertise
10%-AWS Technologies experience (S3, Sagemaker, etc.)
15%-Previous experience working on biological data sheets
Scope of Work
Contracted Developer – Newborn Screening Data Scientist
In newborn screening (NBS), tandem mass spectroscopy (MS/MS) is used
to screen for inherited metabolic disorders (IMD) by measuring
endogenous analytes in dried blood spots.
While NBS laboratories test for many of the same disorders, each
laboratory uses a different methodology in the extraction and processing of
the samples. As a result, utilizing data across laboratories is not possible
which inhibits the development of data analysis and machine learning
algorithms. The Utah NBS Program seeks to develop algorithms
transforming MS/MS relative abundance and derived concentration values
that are more reflective of the true value or expected concentrations.
A contracted data scientist with machine learning expertise is needed to
lead this project.
The Scope of Work is to provide data scientist consulting services, on a fee
for hourly services rendered. Hourly rates are fully loaded (including all
costs to provide the consulting services). The position may be remote
within the United States. The contracted data scientist will work with the
Utah Newborn Screening Program and other data scientists/graduate
students.
Primary Duties
Prepare, clean, and aggregate de-identified mass spectrometry datasets
Create intuitive visualizations of multi dimensional metabolite data
Develop machine learning algorithms (e.g. neural networks, random forest,
support vector machines)
Define tasks for other data scientists and aid them in their work
Aid in preparing manuscript detailing work on project
Skills
Experience with Python
Experience with pandas
Experience with AWS technologies, SageMaker, Terraform scripting
Experience with Git and GitHub
Communicate ??information and ideas clearly, and concisely, in writing;
read and understand information presented in writing
Experience with Containerization (e.g. Docker)
KSSOW-23001.NBSDataScientist.MMR