Competitive Salary: F. Hoffmann-La Roche AG: This position may be based out of Santa Clara, California, USA, with remote work locations possible in The United States.Impact HealthcareRoche Sequen Santa Clara, California (US)

Competitive Salary: F. Hoffmann-La Roche AG: Senior Software Engineer in TestImpact HealthcareRoche Sequencing is not only changing science, but we are changing lives. Our software teams are layi Ottawa (Region), Ontario (CA)

Competitive Salary: F. Hoffmann-La Roche AG: The PositionThe OMNI Bioinformatics and Immunology departments at Genentech are seeking a highly motivated computational scientist to engage in therap San Francisco, California (US)

Competitive Salary: F. Hoffmann-La Roche AG: At Roche, 94,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, weve become one of the worlds leading res San Francisco, California (US)

Competitive Salary: F. Hoffmann-La Roche AG: Impact HealthcareRoche Sequencing is not only changing science, but we are changing lives. Our software teams are laying the groundwork for the future Ottawa (Region), Ontario (CA)

Competitive Salary: F. Hoffmann-La Roche AG: As the Head of Assay Bioinformatics, Molecular Lab Applications you will play a key role in setting technical strategy and driving execution for devel United States (US)

Funding Opportunity RFA-AG-23-033 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA) invites applications seeking to develop novel, transformative artificial intelligence/machine learning (AI/ML) strategies, and computer automation, to integrate, extract, and interpret multi-omic (i.e., genome, epigenome, transcriptome, proteome, metabolome, microbiome, phenome) data sets from human exceptional longevity (EL) cohorts and multiple non-human species that display wide variation in life span and decipher the relationships between DNA, RNA, proteins, metabolites, and other cell variables, as well as links to disease risks and exceptionally healthy aging. The investigative team(s) for this FOA is/are expected to be multi-disciplinary, encompassing expertise in AI/ML and a variety of disciplines, including, but not limited to, aging biology, comparative biology, and bio/chemo informatics. This FOA utilizes the National Institutes of Health's Phased Innovation Award (R21/R33) funding mechanism. During the R21 phase, investigative teams will design and develop intelligent and innovative algorithms and novel AI/ML based computational strategies. During the R33 phase, teams will apply the developed AI/ML tools to complex, heterogenous multi-omic data sets from exceptional healthy aging human cohorts and non-human species to discover novel protective molecular factors that influence EL, and to develop translational strategies on omic based therapeutic target(s) to prevent, or delay, age-related diseases, including Alzheimers disease (AD) and AD-related dementia (ADRD), and enhance human health span.

Notice NOT-TR-22-032 from the NIH Guide for Grants and Contracts

Funding Opportunity PAS-22-196 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA) invites applications to the National Institute on Aging's (NIA) Small Business Innovation Research (SBIR) program. The aim of this FOA is to support research that may lead to the development of innovative products and/or services that have the potential to advance progress in preventing and treating Alzheimer's disease (AD) and AD-related dementias (ADRD) and/or caring for and treating patients living with AD/ADRD.

Notice NOT-OD-22-135 from the NIH Guide for Grants and Contracts

Notice NOT-DA-22-062 from the NIH Guide for Grants and Contracts

Notice NOT-CA-22-092 from the NIH Guide for Grants and Contracts

Notice NOT-DA-22-063 from the NIH Guide for Grants and Contracts

Notice NOT-DC-22-009 from the NIH Guide for Grants and Contracts

Notice NOT-NS-23-001 from the NIH Guide for Grants and Contracts

Funding Opportunity PAS-22-197 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA) invites applications to the National Institute on Aging's (NIA) Small Business Technology Transfer Research (STTR) program. The aim of this FOA is to support research that may lead to the development of innovative products and/or services with the potential to advance progress in preventing and treating Alzheimer's disease (AD) and AD-related dementias (ADRD) and/or caring for and treating patients living with AD/ADRD.

Negotiable: Oxford Nanopore Technologies: We are looking for a highly motivated individual to join our Machine Learning Research team as a Scientific Data Analyst / Algorithms Researcher. Oxford, England

Notice NOT-CA-22-093 from the NIH Guide for Grants and Contracts

Competitive Salary: F. Hoffmann-La Roche AG: The PositionCancer is becoming more and more common disease every year, with 18.1 million new cases observed worldwide in 2018. At the same time, stan San Jose, California (US)

Competitive Salary: F. Hoffmann-La Roche AG: The PositionWe are seeking a talented and highly motivated Sub-Chapter lead for the Translational Research Bioinformatics team at the Sr. Director lev Washington D.C. (US)