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University of Maryland, Baltimore – Research Associate
Company Information: The University of Maryland, Baltimore is committed to cultivating a diverse and inclusive workforce and is proud to be an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, ancestry or national origin, sex, pregnancy or related conditions, sexual orientation, gender identity or expression, genetic information, physical or mental disability, marital status, protected veteran's status, or any other legally protected classification.
If you anticipate needing a reasonable accommodation for a disability under the Americans With Disabilities Act (ADA), during any part of the employment process, please submit a UMB Job Applicant Accommodation Request. You may also contact HRDiversity@umaryland.edu. Please note that only inquiries concerning an ADA request for reasonable accommodation will be responded to from this email address.
The University of Maryland, Baltimore prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to the Title IX Coordinator. Read the UMB Notice of Non-Discrimination for more information.”
Position Title: Research Associate
Duties and Responsibilities: The Greenebaum Comprehensive Cancer Center and the Division of Biostatistics and Bioinformatics in the Department of Epidemiology and Public Health at the University of Maryland School of Medicine are recruiting a full-time, non-tenure track Research Associate with expertise in biostatistics and statistical genomics to join a thriving cancer research environment. The successful candidate will be committed to working with Greenebaum Comprehensive Cancer Center members and will hold a primary appointment in the Department of Epidemiology and Public Health. Preference will be given to individuals who have 1) demonstrated experience with high-level genomics data analyses, such as with spatial transcriptomics, and correlative analyses of genomics and clinical outcomes; 2) demonstrated ability to professionally support and manage data analysis projects in collaborative settings across teams of researchers and core services; 3) clinical trial expertise is encouraged but can be developed, as it will be a required aspect of the position; 4) a record of innovation in methodological research would be welcomed as well. In sum, the ideal candidate will have methodological versatility across modern genomics and biostatistics and have a strong interest and ability to work collaboratively. Preference will be given to individuals who have 1) demonstrated experience with high-level genomics data analyses, such as with spatial transcriptomics, and correlative analyses of genomics and clinical outcomes; 2) demonstrated ability to professionally support and manage data analysis projects in collaborative settings across teams of researchers and core services; 3) clinical trial expertise is encouraged but can be developed, as it will be a required aspect of the position; 4) a record of innovation in methodological research would be welcomed as well. In sum, the ideal candidate will have methodological versatility across modern genomics and biostatistics and have a strong interest and ability to work collaboratively. Preference will be given to individuals who have 1) demonstrated experience with high-level genomics data analyses, such as with spatial transcriptomics, and correlative analyses of genomics and clinical outcomes; 2) demonstrated ability to professionally support and manage data analysis projects in collaborative settings across teams of researchers and core services; 3) clinical trial expertise is encouraged but can be developed, as it will be a required aspect of the position; 4) a record of innovation in methodological research would be welcomed as well. In sum, the ideal candidate will have methodological versatility across modern genomics and biostatistics and have a strong interest and ability to work collaboratively.
Position Qualifications: Applicants must have a Ph.D. or equivalent in Biostatistics, Statistics, Computational Biology, or Mathematics.
Salary Range:
Benefits:
Website: https://umb.taleo.net
Application Information: Applicants should submit an online application at: https://umb.taleo.net/careersection/jobdetail.ftl?job=2500007F&lang=en
Qualified applicants should submit a single PDF file containing a short cover letter, a detailed curriculum vitae, contact information for three or more references, up to 3 reprints of representative publication(s), and a description of future research and scientific interests.
Contact Email: Dwilliams5@umm.edu
Application Deadline: 04/30/2025
Company NameUniversity of Maryland, Baltimore
Company Information
The University of Maryland, Baltimore is committed to cultivating a diverse and inclusive workforce and is proud to be an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, ancestry or national origin, sex, pregnancy or related conditions, sexual orientation, gender identity or expression, genetic information, physical or mental disability, marital status, protected veteran's status, or any other legally protected classification.
If you anticipate needing a reasonable accommodation for a disability under the Americans With Disabilities Act (ADA), during any part of the employment process, please submit a UMB Job Applicant Accommodation Request. You may also contact HRDiversity@umaryland.edu. Please note that only inquiries concerning an ADA request for reasonable accommodation will be responded to from this email address.
The University of Maryland, Baltimore prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to the Title IX Coordinator. Read the UMB Notice of Non-Discrimination for more information.”
Position TitleResearch Associate
Duties and Responsibilities
The Greenebaum Comprehensive Cancer Center and the Division of Biostatistics and Bioinformatics in the Department of Epidemiology and Public Health at the University of Maryland School of Medicine are recruiting a full-time, non-tenure track Research Associate with expertise in biostatistics and statistical genomics to join a thriving cancer research environment. The successful candidate will be committed to working with Greenebaum Comprehensive Cancer Center members and will hold a primary appointment in the Department of Epidemiology and Public Health. Preference will be given to individuals who have 1) demonstrated experience with high-level genomics data analyses, such as with spatial transcriptomics, and correlative analyses of genomics and clinical outcomes; 2) demonstrated ability to professionally support and manage data analysis projects in collaborative settings across teams of researchers and core services; 3) clinical trial expertise is encouraged but can be developed, as it will be a required aspect of the position; 4) a record of innovation in methodological research would be welcomed as well. In sum, the ideal candidate will have methodological versatility across modern genomics and biostatistics and have a strong interest and ability to work collaboratively. Preference will be given to individuals who have 1) demonstrated experience with high-level genomics data analyses, such as with spatial transcriptomics, and correlative analyses of genomics and clinical outcomes; 2) demonstrated ability to professionally support and manage data analysis projects in collaborative settings across teams of researchers and core services; 3) clinical trial expertise is encouraged but can be developed, as it will be a required aspect of the position; 4) a record of innovation in methodological research would be welcomed as well. In sum, the ideal candidate will have methodological versatility across modern genomics and biostatistics and have a strong interest and ability to work collaboratively. Preference will be given to individuals who have 1) demonstrated experience with high-level genomics data analyses, such as with spatial transcriptomics, and correlative analyses of genomics and clinical outcomes; 2) demonstrated ability to professionally support and manage data analysis projects in collaborative settings across teams of researchers and core services; 3) clinical trial expertise is encouraged but can be developed, as it will be a required aspect of the position; 4) a record of innovation in methodological research would be welcomed as well. In sum, the ideal candidate will have methodological versatility across modern genomics and biostatistics and have a strong interest and ability to work collaboratively.
Position Qualifications
Applicants must have a Ph.D. or equivalent in Biostatistics, Statistics, Computational Biology, or Mathematics.
Position or Company Websitetaleo.net
Application Instructions
Applicants should submit an online application at: https://umb.taleo.net/careersection/jobdetail.ftl?job=2500007F&lang=en
Qualified applicants should submit a single PDF file containing a short cover letter, a detailed curriculum vitae, contact information for three or more references, up to 3 reprints of representative publication(s), and a description of future research and scientific interests.