We are seeking a highly motivated Bioinformatician with an interest in providing bioinformatics support to facility users requiring analysis of sequencing data to join our collaborative genomics facility. The successful applicant will join a very busy facility and work closely with our Lead Bioinformatician to provide all aspects of data analysis, data QC and data storage/processing infrastructure.

In this position, you will be taking an important role in the development of approaches for systems biology, explainable-AI, network analysis, and information flow.

In this position, you will be taking an important role in the development of phenotype collection methods and devices and the associated data and machine learning infrastructures in conjunction with existing and new projects.

We seek to hire a Computational Imaging Scientist to join our Advanced Computing in Life Sciences and Engineering Group within the Science Engagement section of NCCS. In this role, you will participate as a liaison between NCCS and the users of the NCCS computing resources and relevant NCCS vendor partners, providing deep technical expertise in high performance computing that can be applied to a diverse range of scientific disciplines. 

The Genomic Research Center (GRC) Immunology Computational Biology group at AbbVie is seeking a highly motivated computational biologist to play an integral role in a multi-disciplinary team focused on developing new therapies for the treatment and cure of immunological diseases. AbbVie’s GRC is a center of excellence for bioinformatics, functional genomics, human genetics and pharmacogenomics. The GRC works across all R&D including discovery and clinical development, and multiple areas such as process sciences, search and evaluation and corporate strategy.

The Genomics Research Center (GRC) Immunology Computational Biology group at AbbVie is seeking a highly motivated computational biologist to play an integral role in a multi-disciplinary team focused on developing new therapies for the treatment and cure of immunological diseases. AbbVie’s GRC is a center of excellence for bioinformatics, functional genomics, human genetics and pharmacogenomics. The GRC works across all R&D including discovery and clinical development, and multiple areas such as process sciences, search and evaluation and corporate strategy.

The Computational Toxicology group functions to develop, refine, and bring awareness to in-silico methods that may help predict and understand safety and toxicology for small and large molecules. Team members will gain exposure to a wide range of safety-related datasets ranging from biology, pharmacology, toxicology, and chemistry to help with predictive modeling and data analysis. Using these datasets, the team hopes to apply data science and machine-learning methodology to better visualize the data and help identify novel and mechanistic associations.

The Genomic Research Center Computational Oncology group (GRC-CO) at AbbVie is seeking a highly motivated computational biologist to play an integral role in a multi-disciplinary team focused on developing new therapies and approaches for cancer treatment. AbbVie’s GRC is a center of excellence for bioinformatics, functional genomics, human genetics and pharmacogenomics. The GRC works across all R&D including discovery and clinical development, and multiple areas such as process sciences, global epidemiology, search and evaluation, and corporate strategy.

We are seeking a 6-month co-op in bioinformatics/computational biology with expertise in analyzing single cell sequencing data to join the Genome Sciences team within the Department of Data & Genome Sciences (DGS) at our Research Laboratories in Cambridge, MA.

We are seeking a highly qualified and motivated Computational Biologist with a strong background in microbiology to join our team in Cambridge, MA.  This individual will join the Cell Based Sciences team in Analytical Research and Development and collaborate closely with colleagues across the company's network.

The Bioinformatics Analyst serves as the technical authority on computational issues related to the assigned projects/programs. In this role, he/she will validate and maintain genomic analysis pipelines for exome, whole genome and RNA-seq data generated from the MoCha lab and/or collaborator(s) and help provide biological interpretation of the genomic analysis to advance the understanding of cancer. This position will also be responsible for the organization and management of large genomic datasets, and the integration of data from multiple sources. He/She may supervise and collaborate with other bioinformatics team members to ensure the quality of work and the prioritization of projects to meet deadlines.

The Bioinformatics and Computational Science (BACS) Directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of bioinformatics and computational science by developing and applying world-leading computing technologies to basic and applied biomedical research challenges, data science, supporting critical operations, developing and delivering national data resources, and utilizing leading-edge software.

Let’s do this. Let’s change the world. During this program, you will develop machine learning-based tools for efficient conformational sampling of both small molecules and protein-ligand complexes. You will also have the opportunity to apply the tools you develop to drive drug discovery projects, by providing fast and accurate estimates of protein-ligand binding free energies.

The postdoctoral candidate must be interested in the fields of computational biology, applied mathematics, and interdisciplinary scholarship across bioengineering and statistics. The appointment is initially for one year but is renewable for one additional year contingent upon funding and performance.

Candidates should have strong background in bioinformatics, genomics/transcriptomics, computer science, statistics, or other related fields. Those who are interested in computational genomics and transcriptomics, particularly in analysis and integration of various genomics/transcriptomics data, are encouraged to apply. The successful candidate will analyze and integrate in-house NGS datasets (bulk and single-cell RNA-seq, spatial transcriptomics, DNA-seq, eCLIP-seq, MeDIP-seq, etc) and also utilize publicly available genomic/transriptomics/clinical data sets to identify novel biological biomarkers/patterns and regulatory mechanisms.

The NRC’s Postdoctoral Fellowship program offers PDFs access to unique world-class facilities and the opportunity to work alongside multi-disciplinary teams of expert researchers and technicians on projects of critical importance to Canada. PDFs will carry out research on innovative research projects, with opportunities for career development (publications and/or industry interaction).

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Postdoc Position in the DFF project: Plant-microbiome interactions in modern and ancient barley Department of Biology and Department of Plant and Environmental Sciences Faculty of Science University of Copenhagen We offer a 19-month Postdoc Position to a Computational biologist/Bioinformatician in the DFF-FNU project: Plant-microbiome interactions in modern and ancient barley .The project is a collaboration between Department of Biology (BIO) Department of Plant and Environmental Sciences (PLEN) Faculty of Science University of Copenhagen GLOBE Institute (Center for Macroecology Evolution and Climate) and Department Agroecology (AGRO) Aarhus University.

We are seeking a talented and driven Bioinformatics Scientist - Computational Biology (Protein Design) – to join our dynamic interdisciplinary protein engineering group that is responsible for the development of novel protein reagents for high-throughput sequencing. The successful candidate will initiate, execute, and analyze research in the area of Computational Biology / Bioinformatics applied to high-throughput sequencing, collaboratively working with multidisciplinary teams.

A Postdoctoral Fellow position is available in the group of Prof. André Gerber to study the role of untranslated regions (UTRs) of mRNAs in timing gene expression in human cells. Hence, the postholder will apply recently developed RNA-affinity purification methods to functionally characterise RNA-binding protein complexes with global and specific means and cell-based assays.