Bioinformatics Analyst; Post-doctoral Associate

Position: Bioinformatics Analyst (Post-doctoral Associate)
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** Job Description Summary
** Join our cutting-edge research team at the University of Maryland Institute for Health Computing (IHC). UM-IHC merges the computational expertise, clinical expertise, biomedical innovation, health data and academic resources of the University of Maryland, College Park; the University of Maryland, Baltimore; and the University of Maryland Medical System to innovate health care delivery and support the Montgomery County life science community.
Organization's Summary Statement:
We are seeking a motivated and talented Post-doctoral fellow/Bioinformatics Analyst to join our translational bioinformatics team bridging the gap between biological research and clinical practice, with the ultimate goal of improving human health. We apply computational tools and methodologies to transform vast amounts of biological and clinical data into actionable insights that can be used to enhance patient care and advance medical research.

Key Responsibilities:

• Analyze and interpret complex NGS datasets to identify novel insights and biomarkers.  
• Develop and implement machine learning algorithms to improve diagnostic accuracy and treatment strategies.  
• Collaborate with interdisciplinary teams to integrate AI solutions into healthcare applications.  
• Publish findings in high-impact scientific journals and present at conferences.

Minimum Qualifications:

Education    
• Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field.
Experience    
• Strong expertise in omics analyses is required.  
• Proven experience with machine learning and AI applications in healthcare settings.
Knowledge, Skills, and Abilities    
• Proficiency in programming languages such as Python, R, or similar.  
• Excellent problem-solving skills and ability to work collaboratively.
Physical Demands: N/A      Preferences:  Expertise in developing computational pipelines for high-dimensional data analysis, modelling multidimensional datasets, longitudinal modeling, use of electronic medical record data, and adaptive network analysis.

• Work in a dynamic and supportive environment with access to state-of-the-art facilities.  
• Contribute to impactful research that directly influences patient care and medical practices.  
• Opportunities for professional growth and development in a leading research institution.#
** Additional Job Details
**** Required Application Materials:
Cover Letter, CV and list of three References*
* ** Best Consideration Date: 10/15/2025*
* ** Posting Close Date: N/A*
* ** Open Until Filled:
Yes**#
** Financial Disclosure Required
** No

For more information on Financial Disclosure, please visit .#
** Department
* * CMNS-College of Computer, Math & Natural Sciences#
** Worker Sub-Type
** Faculty Regular#
** Salary Range**$65,000 - $70,000#
** Benefits Summary
** For more information on Regular Faculty benefits, select this .#
** 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.#

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** 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.# The University of Maryland, College Park is an Equal Opportunity Employer.

All qualified applicants will receive equal consideration for employment. Please read the…