Funding Opportunity RFA-ES-18-014 from the NIH Guide for Grants and Contracts. The NIEHS and partnering Institutes and Centers are establishing an infrastructure, the Human Health Exposure Analysis Resource (HHEAR) as a continuation of the Children's Health Exposure Analysis Resource (CHEAR). The goal of this consortium is to provide the research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research and to make that data publicly available as a means to improve our knowledge of the comprehensive effects of environmental exposures on human health throughout the life course. This FOA solicits the Data Center. The Data Center will provide intellectual and logistical support for the maintenance, integration, analysis, interpretation, curation, and reuse of data generated by HHEAR in support of extramural research projects. The Data Center will build and manage an exposure data repository and associated data science resources, including a public access Data Portal, a Data Submission and Review Portal, and an ontology and associated standardized data structure. In addition, the Data Center will provide statistical, analytical, and informatic support for HHEAR components and studies using the HHEAR infrastructure. The ultimate goal is maximizing potential use and impact of exposure data in human health studies.

Notice NOT-AI-18-056 from the NIH Guide for Grants and Contracts

Notice NOT-DK-18-020 from the NIH Guide for Grants and Contracts

Funding Opportunity RFA-ES-18-009 from the NIH Guide for Grants and Contracts. The purpose of this Funding Opportunity Announcement (FOA) is to solicit grant applications that propose to: (1) support the maintenance of existing Environmental Epidemiology Cohorts (EECs) and to (2) enrich research infrastructure to improve scientific activities and resource sharing with the broader scientific communities. The ultimate goal is to maintain and maximize NIEHS cohort investments within the environmental epidemiology community by supporting the infrastructure needed to prepare for future research opportunities and to promote broader scientific collaborations.

Negotiable: Paramount Recruitment: Senior Scientific Manager Cambridge A fantastic new role is available for a Senior Scientific Manager to join a world-leading bioinformatics organisa Cambridge, England

Funding Opportunity RFA-DK-18-503 from the NIH Guide for Grants and Contracts. The purpose of this Limited Competition is to extend the Cure Glomerulonephropathy (CureGN) Network by continuing to support the Participating Clinical Centers (PCCs). The CureGN Network is a multicenter observational cohort study of glomerular disease patients with the goal of improving care for all glomerular disease patients. The operational components of the study include four multi-site PCCs and a Data Coordinating Center (DCC). The CureGN Network, established in 2013, has recruited nearly 2,200 of 2,400 planned study participants and followed them with annual in-person clinic visits and interim telephone contacts. The CureGN PCCs will continue to follow-up previously enrolled participants. The PCCs will optimize retention strategies, developing novel methods for "remote" or "virtual" study participation; ensure complete and accurate data collection with a focus on clinical assessment of disease activity and outcomes; and participate in the development and validation of study-wide semi-quantitative assessment of histopathologic lesions. It is expected that a focus on disease features unique to glomerulonephropathy, and outcomes relevant to the full range of patient experience, combined with carefully curated clinical and biochemical data will uncover new predictors of the disease course, pathophysiologic processes, disease subtypes and novel treatment targets.The DCC provides key leadership functions for this study in the areas of study organization, study design and implementation, overall management, data management and analysis, and biosample management. The DCC requirements are described under a separate FOA.

Funding Opportunity RFA-DK-18-504 from the NIH Guide for Grants and Contracts. The purpose of this Limited Competition is to extend the Cure Glomerulonephropathy (CureGN) Network by continuing to support the Data Coordinating Center (DCC). The CureGN Network is a multicenter observational cohort study of glomerular disease patients with the goal of improving care for all glomerular disease patients. The operational components of the study include four multi-site Participating Clinical Centers (PCC) and a DCC. The CureGN Network, established in 2013, has recruited nearly 2,200 of 2,400 planned study participants and followed them with annual in-person clinic visits and interim telephone contacts. The DCC provides key leadership functions for this study in the areas of study organization, study design and implementation, overall management, data management and analysis, and biosample management. The CureGN PCCs will continue to follow-up previously enrolled participants under a separate FOA with a focus on clinical assessment of disease activity, developing novel methods for "virtual" study participation,and semi-quantitative assessment of histopathologic lesions. It is expected that a focus on disease features unique to glomerulonephropathy and outcomes relevant to the full range of patient experience, combined with carefully curated clinical and biochemical data, will uncover new predictors of the disease course, pathophysiologic processes, disease subtypes and novel treatment targets. The DCC will lead the study group to achieve the scientific goals of the next project period.

Notice NOT-AR-19-011 from the NIH Guide for Grants and Contracts

Notice NOT-CA-18-102 from the NIH Guide for Grants and Contracts

Parasitology, molecular biology, pharmacology, and bioinformatics. Troubleshoot and adapt molecular biology techniques to relevant assays (RNA extraction and...
From Medical College of Wisconsin - Thu, 30 Aug 2018 03:07:38 GMT - View all Milwaukee, WI jobs

Negotiable: Paramount Recruitment: Senior Bioinformatician - Computational Biology Cambridge Bioinformatics, Microbiology, Permanent! An exciting new opportunity has become available Cambridgeshire, England

Funding Opportunity RFA-NS-19-003 from the NIH Guide for Grants and Contracts. This FOA will support integrated, interdisciplinary research teams from prior BRAIN technology and/or integrated approaches teams, and/or new projects from the research community that focus on examining circuit functions related to behavior, using advanced and innovative technologies. The goal will be to support programs with a team science approach that can realize meaningful outcomes within 5-plus years. Awards will be made for 5 years, with a possibility of one competing renewal. Applications should will incorporate overarching principles of circuit function in the context of specific neural systems underlying sensation, perception, emotion, motivation, cognition, decision-making, motor control, communication, or homeostasis. Applications should incorporate theory-/model-driven experimental design and should offer predictive models as deliverables. Applications should seek to understand circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Applications are expected to employ approaches guided by specified theoretical constructs, and are encouraged to employ quantitative, mechanistic models where appropriate. Applications will be required to manage their data and analysis methods in a prototype framework that will be developed and used in the proposed U19 project and exchanged with other BRAIN U19 awardees for further refinement and development. Model systems, including the possibility of multiple species ranging from invertebrates to humans, can be employed and should be appropriately justified. Programs should employ multi-component teams of research expertise including neurobiologists, statisticians, physicists, mathematicians, engineers, computer scientists, and data scientists, as appropriate - that seek to cross boundaries of interdisciplinar

Funding Opportunity RFA-NS-19-002 from the NIH Guide for Grants and Contracts. This FOA will support integrated, interdisciplinary research teams from prior BRAIN technology and/or integrated approaches teams, and/or new projects from the research community that focus on examining circuit functions related to behavior, using advanced and innovative technologies. The goal will be to support programs with a team science approach that can realize meaningful outcomes within 5-plus years. Awards will be made for 5 years, with a possibility of one competing renewal. Applications should address overarching principles of circuit function in the context of specific neural systems underlying sensation, perception, emotion, motivation, cognition, decision-making, motor control, communication, or homeostasis. Applications should incorporate theory-/model-driven experimental design and should offer predictive models as deliverables. Applications should seek to understand circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Applications are expected to employ approaches guided by specified theoretical constructs, and are encouraged to employ quantitative, mechanistic models where appropriate. Applications will be required to manage their data and analysis methods in a prototype framework that will be developed and used in the proposed U19 project and exchanged with other U19 awardees for further refinement and development. Model systems, including the possibility of multiple species ranging from invertebrates to humans, can be employed and should be appropriately justified. Budgets should be commensurate with multi-component teams of research expertise including neurobiologists, statisticians, physicists, mathematicians, engineers, computer scientists, and data scientists, as appropriate - that seek to cross boundaries of interdisciplinary collaboration.

Funding Opportunity PA-18-908 from the NIH Guide for Grants and Contracts. The purpose of this Funding Opportunity Announcement (FOA) is to support the development of advanced computational, bioinformatic and statistical tools to determine the functional relevance of genetic variants associated with mental disorders of complex etiologies identified through genome-wide association or sequencing studies. The overarching goal of this initiative is to support the development of innovative computational methods that facilitate the elucidation of the functionality of genetic variants associated with mental illness, taking into account the added complexities and nuances of brain diseases, and to ultimately inform novel treatment development based on human biology.

Funding Opportunity PA-18-907 from the NIH Guide for Grants and Contracts. The purpose of this Funding Opportunity Announcement (FOA) is to support the development of advanced computational, bioinformatic and statistical tools to determine the functional relevance of genetic variants associated with mental disorders of complex etiologies identified through genome-wide association or sequencing studies. The overarching goal of this initiative is to support the development of innovative computational methods that facilitate the elucidation of the functionality of genetic variants associated with mental illness, taking into account the added complexities and nuances of brain diseases, and to ultimately inform novel treatment development based on human biology. This FOA should be used when two or more sites are needed to complete the study. For a linked set of collaborative R01s, each site must have its own Program Director/Principal Investigator and the set of linked applications provide a mechanism for cross-site coordination, quality control, database management, statistical analysis, and reporting.

As we look to the future, we are building a team to bridge innovation and imagination with deep data science and analytics to build on our culture of Data and...
From Microsoft - Wed, 29 Aug 2018 00:41:16 GMT - View all Redmond, WA jobs

IMV, a division of the Science and Medicine Group, is looking for an individual who has a passion for helping clients understand the marketplace and their...
From Indeed - Tue, 28 Aug 2018 23:08:09 GMT - View all Milwaukee, WI jobs

Notice NOT-OD-18-221 from the NIH Guide for Grants and Contracts

Funding Opportunity RFA-CA-18-018 from the NIH Guide for Grants and Contracts. The purpose of this Funding Opportunity Announcement (FOA) is to facilitate the design, conduct, and completion of clinical trials for improving prevention of human papillomavirus (HPV)-related cancers in human immunodeficiency virus (HIV)-infected individuals. To serve this goal, the FOA will support a network of international collaborative sites conducting meritorious and appropriately designed prevention clinical trials in the Latin American and Caribbean (LAC) region via a U54 Partnership Centers mechanism. Each proposed U54 Partnership Center must be based on a collaboration between a research institution in the United States (as the applicant institution) and partnering institution(s) in low- and middle-income countries (LMICs) in the LAC region. The proposed clinical trials should be focused on optimizing clinical prevention interventions among HIV-infected individuals, including immunoprevention (vaccination), screening and triage, and precancer treatment. Each Partnership Center application must propose a Clinical Trials Program that will develop and conduct three prevention clinical trials within the 5-year project period. As infrastructure supporting the Clinical Trials Program, each Partnership Center should include an Administrative and Coordinating Core, a Data Management and Statistical Core, and a Central Laboratory Core. Results of the clinical trials conducted through the Partnership Centers are expected to influence the development of clinical practice guidelines to improve preventive clinical care and reduce the burden of highly preventable HPV-related cancers in HIV-infected individuals.

Notice NOT-MH-18-041 from the NIH Guide for Grants and Contracts