grant

Biostatistics Shared Service

Organization UNIVERSITY OF MARYLAND BALTIMORELocation BALTIMORE, UNITED STATESPosted 8 Aug 2008Deadline 31 Aug 2026
NIHUS FederalResearch GrantFY2025AI systemArtificial IntelligenceBasic ResearchBasic ScienceBig DataBigDataBioinformaticsBiomedical ResearchBiometricsBiometryBiostatisticsBiostatistics CoreCancer CenterCancer Research ProgramsCancer Research ProjectCancersCenter for Cancer ResearchClinicalClinical Cancer CenterClinical OncologyClinical ResearchClinical StudyClinical TrialsClinical Trials DesignCollaborationsComprehensive Cancer CenterComputer ReasoningComputing MethodologiesConsultationsDNA Molecular BiologyDataData AnalysesData AnalysisData AnalyticsData BasesData CollectionData SetData SourcesDatabasesDoctor of PhilosophyEXTMREducational process of instructingEducational workshopEnvironmentEpidemiologyExperimental TherapiesExtramuralExtramural ActivitiesFacultyFamiliarityFlow CytofluorometriesFlow CytofluorometryFlow CytometryFlow MicrofluorimetryFlow MicrofluorometryFosteringFoundationsFundingGenomicsGrantHealth Insurance for Aged and Disabled, Title 18Health Insurance for Disabled Title 18Health SciencesHumanImageInterdisciplinary ResearchInterdisciplinary StudyInvestigational TherapiesInvestigational TreatmentsInvestigator-Initiated ResearchInvestigatorsJournalsKnowledgeLaboratoriesLinkMachine IntelligenceMachine LearningMagazineMalignant CellMalignant NeoplasmsMalignant TumorMarylandMedicalMedicareMedicineMentorsMethodologyMethodsMissionModern ManMolecular BiologyMultidisciplinary CollaborationMultidisciplinary ResearchNCI Center for Cancer ResearchNatureOncologyOncology CancerOutcome StudyPathologyPeer ReviewPh.D.PhDPilot ProjectsPopulationPopulation ResearchPopulation SciencesPopulation-based researchPopulation-level researchProtocolProtocols documentationPublic HealthPublicationsPublishingR-Series Research ProjectsR01 MechanismR01 ProgramRegistriesReportingResearchResearch DesignResearch GrantsResearch MethodologyResearch MethodsResearch PersonnelResearch Project GrantsResearch ProjectsResearch ResourcesResearchersResourcesSalariesScienceScientific PublicationScientistServicesStatistical MethodsStudentsStudy TypeSystemSystems BiologyTCGATeachingTerminologyThe Cancer Genome AtlasTimeTitle 18TrainingTranslational ResearchTranslational ScienceUniversitiesWagesWorkshopacronymsanalytical methodanti-cancer researchanti-tumor immune therapyanti-tumor immunotherapybiobankbiomarker discoverybiorepositorycancer cellcancer immunologycancer researchcollegecollegiatecomputational methodologycomputational methodscomputer based methodcomputer methodscomputing methodconsultationdata basedata interpretationdata miningdataminingeducation resourceseducational resourcesepidemiologicepidemiologicalexperienceexperimental therapeutic agentsexperimental therapeuticsfaculty supportflow cytophotometrygene regulatory networkhealth insurance for disabledhigh dimensionalityhormone related cancerimaginginnovateinnovationinnovativemachine based learningmalignancymath methodologymath methodsmathematical approachmathematical methodologymathematical methodsmathematics approachmathematics methodologymathematics methodsmedical collegemedical schoolsmembermilitary memberneoplasm immunologyneoplasm immunotherapyneoplasm/cancerpeer supportpersonalization of treatmentpersonalized medicinepersonalized therapypersonalized treatmentpilot studypopulation healthpre-clinicalpre-clinical researchpreclinicalpreclinical researchprogramsresearch and methodsschool of medicineservice memberskillsstatistic methodsstructural biologystudy designtraining opportunitytranslation researchtranslational investigationtumor immune therapytumor immunologytumor immunotherapy
Sign up free to applyApply link · pipeline · email alerts
— or —

Get email alerts for similar roles

Weekly digest · no password needed · unsubscribe any time

Full Description

15.0 Abstract: Biostatistics Shared Service (BSS)
The Biostatistics Shared Service (BSS) fosters and sustains excellence in quantitative cancer research at the

University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center (UMGCCC), covering

the whole spectrum from basic science to translational and clinical research and population health science. BSS

provides in-depth knowledge of and access to state-of-the-art biostatistics and bioinformatics methods,

which are augmented by domain expertise in several fields of cancer research. BSS supports Cancer

Center pilot projects, aids in conceptualizing and developing research projects and applications for funding,

advises on study design and data capture, performs state-of-the-art data analyses, and contributes to the

interpretation and reporting of study outcomes. BSS supports statistical bioinformatics projects and increasingly

applies artificial intelligence and machine learning when collaborating on projects. BSS has experience in the

analysis of large population registries, for example the National Cancer Database, the SEER, and the SEER-

Medicare linked datasets, and can assist investigators to access these resources. When needed, BSS faculty

develop and implement data analytical methods that directly support UMGCCC projects. BSS faculty are

encouraged to pursue project-specific funding for independent, investigator-initiated research in statistical

methodology. An important part of the BSS mission is to train UMGCCC faculty and students in quantitative

biomedical research methods through teaching, mentoring, and workshops. The UMGCCC supports BSS as an

important component of the Division of Biostatistics and Bioinformatics (DBB) in the Department of Epidemiology

and Public Health which also serves as the biostatistics core for the University of Maryland School of Medicine

(UMSOM) and supports the Institute for Clinical and Translational Research. BSS faculty are in part supported

by funded investigator projects. This creates a stimulating environment for the activities of BSS and

provides value-added access for UMGCCC members to a wider range of innovative methodological

expertise. BSS statisticians participate actively in many UMGCCC collaborations, providing advice on specific

issues and often are coinvestigators. BSS draws on the expertise of a team of enthusiastic and highly skilled

biostatisticians, bioinformaticians, and administrative staff: 13 Ph.D.-level biostatisticians/bioinformaticians, 2

master's-level data analysts, and 1 FTE administrative coordinator, all working together to support the five

UMGCCC research programs. In 2019, BSS supported 153 total investigators including 43 UMGCCC-affiliated

faculty (28.1%). In 2019, BSS supported $15.7 million of cancer-related funding all of which was peer reviewed.

BSS supported 278 cancer-related publications from 2015 to 2019, including those published in high-impact

journals such as Nature Reviews Cancer, Nature Medicine, Journal of Clinical Oncology and Cancer Cell.

Grant Number: 5P30CA134274-18
NIH Institute/Center: NIH

Principal Investigator: Soren Bentzen

Sign up free to get the apply link, save to pipeline, and set email alerts.

Sign up free →

Agency Plan

7-day free trial

Unlock procurement & grants

Upgrade to access active tenders from World Bank, UNDP, ADB and more — with email alerts and pipeline tracking.

$29.99 / month

  • 🔔Email alerts for new matching tenders
  • 🗂️Track tenders in your pipeline
  • 💰Filter by contract value
  • 📥Export results to CSV
  • 📌Save searches with one click
Start 7-day free trial →