University of Maryland
Data Science Specialist
🇺🇸 Hybrid - Rockville, MD
🕑 Full-Time
💰 $116K - $125K
💻 Data Science
🗓️ October 27th, 2025
Python
PyTorch
TensorFlow
Edtech.com's Summary
University of Maryland College Park (UMCP) is hiring a Data Science Specialist. The specialist creates data models, analytical methods, and machine learning algorithms to support biotechnology researchers and their collaborators. They assist in scientific computing, train researchers on AI tools like TensorFlow and PyTorch, and troubleshoot complex data science problems while supporting projects with university, federal scientists, and pharmaceutical partners.
Highlights
- Work with biotechnology researchers to develop data models, analytical methods, and machine learning algorithms using Python.
- Serve as a technical resource to train researchers on machine learning/AI tools such as TensorFlow and PyTorch.
- Support scientific computing and data analysis needs across university, federal, and pharmaceutical collaborations.
- Assist researchers in running modeling jobs on the IBBR High Performance Computing (HPC) cluster and improve grant submission scoring through software adaptation.
- Provide training in statistical analysis software and develop new machine learning techniques in constrained HPC environments.
- Required skills include machine learning toolkits (TensorFlow, PyTorch, Keras), scripting languages (BASH, Python), and statistical packages (MATLAB, R, Stata).
- Minimum qualifications: Bachelor’s degree plus 4 years experience or Master’s degree plus 2 years experience in relevant fields such as computer science or statistics.
- Salary range: $116,000 to $125,000 annually.
- Position is full-time staff role within the CMNS-IBBR department with hybrid telework options.
- No physical demands, licenses, or financial disclosure required; completion of a background check is mandatory.
Data Science Specialist Full Description
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
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
Telework: Hybrid; part-time telecommuting
LOCATION: 9600 Gudelsky Drive, Rockville MD 20850
Required Application Materials:
1. Cover Letter
2. Resume
3. List of References
Best Consideration Date: 11/28/2025
Posting Close Date: 12/01/2025
Open Until Filled: No
Job Risks
Not Applicable to This Position
Financial Disclosure Required
No
For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.
For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.
Department
CMNS-IBBR
Worker Sub-Type
Staff Regular
Salary Range
$116,000- $125,000
Benefits Summary
For more information on Regular Exempt benefits, select this link.
Background Checks
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility
The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement
The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice
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