Statistical methods include but are not limited to: analysis of environmental DNA detection data, bioinformatic analysis of high throughput DNA sequence data,… $57,118 - $89,835 a year
From usajobs.gov - Wed, 05 Jul 2023 04:11:12 GMT - View all Onalaska, WI jobs

National: £40,262 - £44,724 Pro-rata salary for job share: Animal and Plant Health Agency: PHA scientific activity focuses on protecting the UK against the threat of a wide variety of animal and zoonotic ..... Weybridge, Surrey

Notice NOT-OD-23-147 from the NIH Guide for Grants and Contracts

Notice NOT-OD-23-146 from the NIH Guide for Grants and Contracts

Notice NOT-OD-23-145 from the NIH Guide for Grants and Contracts

Notice NOT-OD-23-144 from the NIH Guide for Grants and Contracts

Notice NOT-OD-23-143 from the NIH Guide for Grants and Contracts

Notice NOT-OD-23-142 from the NIH Guide for Grants and Contracts

Negotiable: Oxford Nanopore Technologies: Oxford Nanopore Technologies is headquartered at the Oxford Science Park outside Oxford, UK, with satellite offices and a commercial presence in many Oxford, England

Candidates with research experience in multi-omics/single-cell data analysis, machine-learning, and computational/systems biology are strongly preferred. $65,478 - $91,711 a year
From Institute for Systems Biology - Mon, 03 Jul 2023 04:31:20 GMT - View all Seattle, WA jobs

Basic computational and bioinformatic skills (R, Python, MS Word, MS Excel, Adobe Illustrator). Execute data analysis using internal/external software (e.g. Web… $5,459 - $6,250 a month
From University of Washington - Sat, 01 Jul 2023 17:37:42 GMT - View all Seattle, WA jobs

Experis: Job Title - Bioinformatics Software Engineer Duration- Fulltime Job Summary As a bioinformatics software engineer member of a computational biology... Gaithersburg, Maryland

Notice NOT-DK-23-028 from the NIH Guide for Grants and Contracts

Negotiable: AstraZeneca : Associate Principal Scientist - NGS and biologics platforms, Biologics Engineering, Oncology R&D Cambridge, England

Funding Opportunity PAR-24-024 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA) encourages research on the biology of high confidence risk factors associated with complex brain disorders, with a focus on the intracellular, transcellular and circuit substrates of neural function. For the purposes of this FOA, the term complex can refer to a multifactorial contribution to risk (e.g., polygenic and/or environmental) and/or highly distributed functional features of the brain disorder. Studies may be either hypothesis-generating (unbiased discovery) or hypothesis-testing in design and may utilize in vivo, in situ or in vitro experimental paradigms, e.g., model organisms or human cell-based assays. While behavioral paradigms and outcome measures can be incorporated into the research design to facilitate the characterization of intracellular, transcellular and circuit mechanisms, these are neither required nor expected. Studies should not attempt to model disorders but instead should aim to elucidate the neurobiological impact of individual or combined risk factor(s), such as the affected molecular and cellular components and their relationships within defined biological process(es). This can include the fundamental biology of these factors, components and processes. The resulting paradigms, component pathways and biological processes should be disseminated with sufficient detail to enrich common and/or federated data resources (e.g., those contributing to the Gene Ontology, Synaptic Gene Ontology, FAIR Data Informatics) in order to bridge the gap between disease risk factors, biological mechanism and therapeutic target identification. The present announcement seeks R01 applications.

Funding Opportunity PAR-24-025 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA) encourages research on the biology of high confidence risk factors associated with complex brain disorders, with a focus on the intracellular, transcellular and circuit substrates of neural function. For the purposes of this FOA, the term complex can refer to a multifactorial contribution to risk (e.g., polygenic and/or environmental) and/or highly distributed functional features of the brain disorder. Studies may be either hypothesis-generating (unbiased discovery) or hypothesis-testing in design and may utilize in vivo, in situ, or in vitro experimental paradigms, e.g., model organisms or human cell-based assays. While behavioral paradigms and outcome measures can be incorporated into the research design to facilitate the characterization of intracellular, transcellular and circuit mechanisms, these are neither required nor expected. Studies should not attempt to model disorders but instead should aim to elucidate the neurobiological impact of individual or combined risk factor(s), such as the affected molecular and cellular components and their relationships within defined biological process(es). This can include the fundamental biology of these factors, components and processes. The resulting paradigms, component pathways and biological processes should be disseminated with sufficient detail to enrich common and/or federated data resources (e.g., those contributing to the Gene Ontology, Synaptic Gene Ontology, FAIR Data Informatics) in order to bridge the gap between disease risk factors, biological mechanism and therapeutic target identification. The present announcement seeks R21 applications for high risk or early stage exploratory research.

Notice NOT-OD-23-155 from the NIH Guide for Grants and Contracts

Notice NOT-OD-23-154 from the NIH Guide for Grants and Contracts

E-talentnetwork: Overall Position Summary and Objectives Under this task order, the contractor will provide support services to satisfy the overall operational obj... Bethesda, Maryland

Commensurate with Experience: Vaccitech: Vaccitech plc is a fast-growing biotech company. At only six years old we already have a development portfolio of nine programmes, including a part... Harwell, United Kingdom