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Notice of Changes to NICHD Acceptance of Diversity and Re-Entry Supplement Applications

Notice NOT-HD-18-006 from the NIH Guide for Grants and Contracts

NIMHD Minority Health and Health Disparities Research Training (MHRT) Program (T37)

Funding Opportunity RFA-MD-18-007 from the NIH Guide for Grants and Contracts. The National Institute on Minority Health and Health Disparities (NIMHD) invites applications for the Minority Health and Health Disparities Research Training (MHRT) awards. The Program supports research training activities in minority health and health disparities research for individuals who are from diverse groups underrepresented in biomedical, behavioral, clinical and social sciences research, at domestic institutions and/or at specified foreign low and middle income (LMIC) locations. The awards support training experiences that enhance the diversity of the research workforce for eligible undergraduate, post-baccalaureate and graduate students, as well as for eligible residents, fellows and postdoctoral students.

NLM Research Grants in Biomedical Informatics and Data Science (R01 Clinical Trial Optional)

Funding Opportunity PAR-18-896 from the NIH Guide for Grants and Contracts. The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. The scope of NLM's interest in these research domains is broad, with emphasis on new methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, reusable approaches to discovery, curation, analysis, organization and management of health-related digital objects. Biomedical informatics and data science draw upon many fields, including mathematics, statistics, information science, computer science and engineering, and social/behavioral sciences. Application domains include health care delivery, basic biomedical research, clinical and translational research, precision medicine, public health, biosurveillance, health information management in disasters, and similar areas. NLM defines biomedical informatics as the science of optimal representation, organization, management, integration and presentation of information relevant to human health and biology. NIH defines data science as the interdisciplinary field of inquiry in which quantitative and analytical approaches, processes, and systems are developed and used to extract knowledge and insights from increasingly large and/or complex sets of data.

Notice of Change to PAR-16-412 "NIAID Resource-Related Research Projects (R24)"

Notice NOT-AI-18-051 from the NIH Guide for Grants and Contracts

NIGMS Policy on Funding Biomedical Technology Research Resources Beyond Year 15

Notice NOT-GM-18-042 from the NIH Guide for Grants and Contracts

Clinical Trial on Effects of Statins in Older Adults without Clinical Cardiovascular Disease (U19 Clinical Trial Required)

Funding Opportunity RFA-AG-19-020 from the NIH Guide for Grants and Contracts. NIA and NHLBI invite applications for a seven-year pragmatic trial from a network or consortium of health care delivery systems (HCS) which together cover most of the geographic regions of the United States and a data coordinating center to assess the overall risks and benefits of stains in adults 75 years of age and older without clinical cardiovascular disease.

Software Developer - Python/AWS - Resolution Bioscience - Redmond, WA

Indeed.com - Bioinformatics - Wed, 2018-08-08 00:39
Ongoing software development of our “cloud-reborn” genomics data analysis system (no genomics experience? Collaboration with bioinformatics team to understand...
From Resolution Bioscience - Wed, 08 Aug 2018 04:39:18 GMT - View all Redmond, WA jobs
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Computational Biologist/Research Scientist - Institute for Systems Biology - Seattle, WA

Indeed.com - Bioinformatics - Tue, 2018-08-07 23:23
In bioinformatics, biology, bioengineering, computational biology, or a related scientific discipline. Perform analyses in a accessible manner and to clearly...
From Institute for Systems Biology - Wed, 08 Aug 2018 03:23:36 GMT - View all Seattle, WA jobs
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NGS Senior Scientist - Functional Biosciences - Madison, WI

Indeed.com - Bioinformatics - Tue, 2018-08-07 14:47
Familiarity with bioinformatics tools, sequence analysis algorithms and programs such as BLAST preferred....
From Indeed - Tue, 07 Aug 2018 18:47:56 GMT - View all Madison, WI jobs
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Physical Activity and Weight Control Interventions Among Cancer Survivors: Effects on Biomarkers of Prognosis and Survival (R21 Clinical Trial Optional)

Funding Opportunity PAR-18-892 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA) encourages transdisciplinary and translational research that will identify the specific biological or biobehavioral pathways through which physical activity and/or weight control (either weight loss or avoidance of weight gain) may affect cancer prognosis and survival. Research applications should test the effects of physical activity, alone or in combination with weight control (either weight loss or avoidance of weight gain), on biomarkers of cancer prognosis among cancer survivors identified by previous animal or observational research on established biomarkers other than insulin/glucose metabolism, especially those obtained from tumor tissue sourced from repeat biopsies where available. Because many cancer survivor populations will not experience recurrence but will die of comorbid diseases or may experience early effects of aging, inclusion of biomarkers of comorbid diseases (e.g., cardiovascular disease) and of the aging process are also sought. Applications should use experimental designs (e.g., randomized controlled clinical trials (RCTs), fractional factorial designs), and will include transdisciplinary approaches that bring together behavioral intervention expertise, cancer biology, and other basic and clinical science disciplines relevant to the pathways being studied.

Physical Activity and Weight Control Interventions Among Cancer Survivors: Effects on Biomarkers of Prognosis and Survival (R01 Clinical Trial Optional)

Funding Opportunity PAR-18-893 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA) encourages transdisciplinary and translational research that will identify the specific biological or biobehavioral pathways through which physical activity and/or weight control (either weight loss or avoidance of weight gain) may affect cancer prognosis and survival. Research applications should test the effects of physical activity, alone or in combination with weight control (either weight loss or avoidance of weight gain), on biomarkers of cancer prognosis among cancer survivors identified by previous animal or observational research on established biomarkers other than insulin/glucose metabolism, especially those obtained from tumor tissue sourced from repeat biopsies where available. Because many cancer survivor populations will not experience recurrence but will die of comorbid diseases or may experience early effects of aging, inclusion of biomarkers of comorbid diseases (e.g., cardiovascular disease) and of the aging process are also sought. Applications should use experimental designs (e.g., randomized controlled clinical trials (RCTs), fractional factorial designs), and will include transdisciplinary approaches that bring together behavioral intervention expertise, cancer biology, and other basic and clinical science disciplines relevant to the pathways being studied.

Paramount Recruitment: Director of Computational Biology, Cancer Immunology

New Scientist - Bioinformatics - Tue, 2018-08-07 12:03
Negotiable: Paramount Recruitment: Director of Computational Biology, Cancer Immunology Connecticut, United States Pharmaceutical, Translational Bioinformatics A global pharmaceu Connecticut, USA
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Elucidating the Role of the Autonomic Nervous System in Peripheral Metabolism and Metabolic Disease through the Application of Novel Tools and Methodologies (RC2 Clinical Trial Optional)

Funding Opportunity PA-18-891 from the NIH Guide for Grants and Contracts. NIDDK utilizes High Impact, Interdisciplinary Science (RC2) grants to support projects that will lay the foundation for new fields of investigation within the mission of NIDDK. The RC2 is envisioned to use an interdisciplinary approach to generate a research resource and/or foster discovery-based or hypothesis-generating science that can have a significant impact on the broader scientific community. This targeted FOA specifically seeks to generate scientific advancements addressing the role of the autonomic nervous system in the regulation of peripheral metabolism and its role in diabetes, obesity and related metabolic disease. Interdisciplinary teams may propose to develop resources in the form of novel tools or methodologies that when applied to the autonomic nervous system will contribute to elucidating its functional role in metabolism. Alternatively, teams may focus on novel approaches to address specific knowledge gaps or scientific questions that will significantly contribute to our understanding of role of the autonomic nervous system in metabolism with the goal of accelerating scientific progress in the treatment and prevention of metabolic disease.

Paramount Recruitment: Bioinformatician - Cancer Analysis

New Scientist - Bioinformatics - Tue, 2018-08-07 09:16
Negotiable: Paramount Recruitment: Bioinformatician - Cancer Analysis 100,000 Genomes Project - Bioinformatics - Central London! Paramount are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. London, England
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Advancing Extracellular RNA (exRNA) Communication Research: Towards Single Extracellular Vesicle (EV) Sorting, Isolation, and Analysis of Cargo (UG3/UH3 Clinical Trial Not Allowed)

Funding Opportunity RFA-RM-18-028 from the NIH Guide for Grants and Contracts. The ability to isolate and analyze single EVs and their cargoes from human biofluids would provide a unique opportunity to understand the cell or tissue from which their respective exRNAs originate (heterogeneity) and, importantly, add significant depth to our understanding of exRNA communication. The overarching goal of this Funding Opportunity Announcement (FOA) is to develop and demonstrate innovative technologies and reagents towards isolating single EVs and to characterize the exRNA cargos associated with specific EV subpopulations based on cell of origin and their intended target cell. Shedding light on the diversity of exRNAs carried by EVs will allow for a better understanding of the precise role of exRNAs as signaling molecules for both physiological and pathophysiological processes, ultimately accelerating development of exRNAs as therapeutics and diagnostics.

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