Job Description Summary

The data science specialist will work with biotechnology researchers to create data models, analytical methods and processes, assist in scientific computing and data analysis needs of IBBR researchers and their collaborators by lending expertise in statistics, data modeling, machine learning, and neural networks, serve as a technical resource to support researchers in the use of machine learning/AI techniques in their research by helping them learn the ins and outs of software tools such as Tensorflow or pyTorch, support university and federal scientists across a variety of projects, including collaborations with partners in the pharmaceutical industry, support researchers with new tools and techniques and a love of statistics, analysis, and data science techniques, develop machine learning algorithms using Python to assist IBBR researchers, explain AI fundamentals to IBBR researchers to help them find ways to boost their research productivity, assist researchers in modeling jobs to be run on the IBBR HPC cluster, explore existing machine learning software and adapt it to IBBR research to improve grant submission scoring, develop machine learning techniques in Tensorflow in support of molecular dynamics projects, interview researchers to learn more about their research and find areas to engage with data science, provide training in statistical analysis software, develop new techniques for running machine learning problems in the confines of the IBBR HPC cluster, and provide excellent troubleshooting and problem solving for issues of varying complexity, with the ability and desire
to find the solution that fits the problem instead of finding a problem to fit the solutions.

Physical Demands: N/A

Licenses/ Certifications: N/A

Minimum Qualifications

Education: A Bachelor’s degree in computer science, data science, statistics or related field from an accredited college or university.

Experience:

Bachelor’s degree in Computer Science, Data Science, Statistics or related field followed by four (4) years of experience with the following:

• One or more tools sets for machine learning such as TensorFlow, pyTorch, keras, etc.

• One or more scripting languages such as BASH, Python, etc; and,

• Statistical packages from Matlab, R, Stata or similar

OR

Master’s degree in Computer Science, Data Science, Statistics or related field followed by two (2) years of experience with the following:

• One or more tools sets for machine learning such as TensorFlow, pyTorch, keras, etc.

• One or more scripting languages such as BASH, Python, etc; and,

• Statistical packages from Matlab, R, Stata or similar

KNOWLEDGE, SKILLS, & ABILITIES:

Knowledge of one or more tool sets for machine learning such as TensorFlow, PyTorch, or Keras.

Knowledge of one or more scripting languages such as BASH or Python.

Knowledge of statistical packages such as MATLAB, R, or Stata.

Additional Job Details

Job Risks

Not Applicable to This Position

Financial Disclosure Required

No

Department

CMNS-IBBR

Worker Sub-Type

Staff Regular

Salary Range

$116,000- $125,000

EEO Statement