The 'Career MODE' Program: Careers through Mentoring and training in Omics and Data for Early-stage investigators
The 'Career MODE' Program: Careers through Mentoring and training in Omics and Data for Early-stage investigators
批准号:
10670931
负责人:
Iuliana Ionita
金额:
$45.81万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-08-15 至 2026-07-31
关键词:
AddressAgeApplications GrantsAppointmentBiological ProcessBiomedical ResearchClinical MedicineCollaborationsCommunicationDataData ScienceDevelopmentDisciplineDoctor of PhilosophyDropsEducationEducational CurriculumEducational MaterialsEducational process of instructingEquityEvaluationFaceFacultyFosteringFundingFutureGenerationsGenomicsGoalsGrantGrant ReviewHealthHybridsInstitutionInvestmentsKnowledgeLeadershipMentorsMethodsNational Institute of General Medical SciencesPathway interactionsPersonsPositioning AttributePostdoctoral FellowPrecision Medicine InitiativeProgram DescriptionQualitative EvaluationsQuantitative EvaluationsReproducibilityResearchResearch PersonnelResearch Project GrantsResourcesRiskRouteScienceScientistSecureSocial SciencesStructureTechnologyTimeTrainingTraining ProgramsTravelUnited StatesUnited States National Academy of SciencesUnited States National Institutes of HealthUniversitiesWomanWritingbroadening participation researchcareercareer developmentcareer networkingcohortdesignearly-career facultyempowermentexperiencehealth equityhuman diseaseimprovedinstructorinterestlearning strategymarginalized populationmembermicrobiomemultidimensional datamultidisciplinaryoutreachprofessorprogramsrecruitresponsible research conductskill acquisitionskillssuccesssymposiumtenure tracktooltrendvirtual
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY/ABSTRACT
The National Academy of Sciences describes the barriers that scientists experience on the path from mentored
to independent research as the single most critical threat to the future of biomedical sciences in the United
States (US). Women and individuals from marginalized groups face steeper obstacles, particularly in
technology-intensive fields such as omic sciences. Despite NIH’s separate grant reviews and paylines, the
mean age at which investigators receive their first R01 has continued to climb to an all-time high of 46 years,
extending a 35-year negative trend. In parallel, the likelihood of PhD graduates becoming professors has
dropped significantly in the last decades, putting the future of biomedical research in the US at risk.
To address these challenges, we propose the 'Career MODE' program: Careers through Mentoring and
training in Omics and Data for Early-stage investigators to empower diverse cohorts of young researchers
across the US—i.e., postdocs in the final years of mentored training and faculty members within two years of
their first appointment—to establish independent, successful careers in omics and data sciences. Omics—
ranging from genomics to the microbiome—have revolutionized biomedical sciences. As they have become
part of any biomedical field, the scarcity of a workforce within each discipline with appropriate omic training has
emerged as a critical challenge. We seek to develop an 11-month program to provide intensive training in
omics and data science and specialized mentoring from a nationwide, diverse network of 70+ mentors. Career
MODE will also feature training in professional skills, including leadership and team management, grant
writing, mentoring, goal setting and strategy development, communication and teaching, scientific rigor,
transparency, reproducibility, responsible conduct of research, and health equity. By leveraging its nationwide
group of mentors and trainees, Career MODE will also offer a structured approach to enhance collaborations
and networking, help create teams for breakthrough research projects and K99/R00 and R01-type grant
proposals, further career development, and help secure tenure-track positions and faculty promotions.
Career MODE will feature hybrid (virtual and in-person) coursework and learning activities (boot camps,
roundtables, panels, symposia, observerships), a robust evaluation of each objective, and will generate and
disseminate extensive educational material on omics and data science. The program will do outreach to the
most promising, motivated, and diverse junior investigators—a group traditionally with limited resources— to
create empowered cohorts of scientists to pursue independence through advanced knowledge and tools in
omics and data sciences applicable to all biomedical research fields. Thus, our program aligns with NIGMS
goals and provides a high return for investment. We will also develop strategies to advance equity and access
in omics research and promote Career MODE to academic institutions, sponsors, and stakeholders to reach
financial sustainability and self-support beyond the five years of R25 funding.
期刊论文(7)
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DOI:
10.1136/bmjresp-2023-001683
发表时间:
2023-06
期刊:
BMJ open respiratory research
影响因子:
4.1
作者:
[]
通讯作者:
Reliability and Validity of self-reported Vascular Risk Factors in a Multi-Ethnic Community Based Study of Aging and Dementia.
基于多种族社区的衰老和痴呆研究中自我报告的血管危险因素的可靠性和有效性。
DOI:
10.1101/2023.04.12.23288492
发表时间:
2023
期刊:
medRxiv : the preprint server for health sciences
影响因子:
--
作者:
[Lee,AnnieJ, Sanchez,Didi, Reyes-Dumeyer,Dolly, Brickman,AdamM, Lantigua,RafaelA, Vardarajan,BadriN, Mayeux,Richard]
通讯作者:
Mayeux,Richard
DOI:
10.1016/j.focus.2024.100186
发表时间:
2024-04
期刊:
AJPM focus
影响因子:
--
作者:
[Yu, Elaine A, Stone, Mars, Bravo, Marjorie D, Grebe, Eduard, Bruhn, Roberta L, Lanteri, Marion C, Townsend, Mary, Kamel, Hany, Jones, Jefferson M, Busch, Michael P, Custer, Brian]
通讯作者:
Custer, Brian
DOI:
10.1038/s41746-023-00953-1
发表时间:
2023-11-17
期刊:
NPJ digital medicine
影响因子:
15.2
作者:
[]
通讯作者:
DOI:
10.1126/scitranslmed.abn7491
发表时间:
2023-08-09
期刊:
SCIENCE TRANSLATIONAL MEDICINE
影响因子:
17.1
作者:
[Peters, Diane E. E., Norris, Lauren D. D., Tenora, Lukas, Snajdr, Ivan, Ponti, Andras K., Zhu, Xiaolei, Sakamoto, Shinji, Veeravalli, Vijayabhaskar, Pradhan, Manisha, Alt, Jesse, Thomas, Ajit G. G., Majer, Pavel, Rais, Rana, McDonald, Christine, Slusher, Barbara S. S.]
通讯作者:
Slusher, Barbara S. S.
Multi-omics approaches for gene discovery in Alzheimer's Disease.
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批准号:10201909
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Integrative methods for the identification of causal variants in mental disorder
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Integrative methods for the identification of causal variants in mental disorder
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Novel Statistical methods for DNA Sequencing Data, and applications to Autism.
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资助金额:$44.68万
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财政年份:2012
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依托单位:
Novel Statistical methods for DNA Sequencing Data, and applications to Autism.
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批准号:8451366
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资助金额:$31.43万
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财政年份:2012
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负责人:Iuliana Ionita
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依托单位:
Novel Statistical methods for DNA Sequencing Data, and applications to Autism.
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批准号:8303934
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项目类别:
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资助金额:$33.97万
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财政年份:2012
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负责人:Iuliana Ionita
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依托单位:
Novel Statistical methods for DNA Sequencing Data, and applications to Autism.
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批准号:8647003
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项目类别:
-
资助金额:$31.86万
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财政年份:2012
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Statistical Methods to Assess the role of rare Variants in Complex Traits.
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财政年份:2010
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负责人:Iuliana Ionita
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依托单位:
Statistical Methods to Assess the role of rare Variants in Complex Traits.
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批准号:7978886
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项目类别:
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资助金额:$8.05万
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财政年份:2010
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负责人:Iuliana Ionita
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依托单位:
国内基金
海外基金
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