Company Description Join us and make YOUR mark on the World!Are you interested in joining some of the brightest talent in the world to strengthen the United States security?

About Us Deep Genomics is a startup company that aims to revolutionize drug development by leveraging expertise in artificial intelligence (AI) to decode RNA biology.Our proprietary platform the AI Workbench enables us to decode the enormous complexity of RNA biology to find novel targets mechanisms and molecules that are not accessible through traditional methods.

Job Description The position of Research Associate(Bioinformatician) is immediately available in the Genome and Data Analytics Core (GeDaC) at the Cancer Science Institute of Singapore (CSI) -- a part of National University of Singapore.The CSI GeDaC is building a platform to facilitate the automated processing and analysis of large cancer genomics datasets.

Job ID: 34241 Location: 450 Brookline Ave Boston MA 02215 Category: Research Laboratory Employment Type: Full time Work Location: PTL Remote: 2-3 days remote/wk Overview The Computational Biologist II is responsible for complex data analysis or processing of biological data with a focus on high-throughput technologies and genomic databases.The Computational Biologist is a quantitative scientist who collaborates with scientific investigators and with other research staff in the analysis of high-throughput data and dissemination of scientific results.

Job ID: 32963 Location: 450 Brookline Ave Boston MA 02215 Category: Fellowships Employment Type: Full time Work Location: PTL Remote: 2-3 days remote/wk Overview A full-time computational biology post doctoral research fellow position is available in the laboratory of Dr. Brian Crompton in the Department of Pediatric Oncology at the Dana-Farber Cancer Institute for a highly motivated individual.The Crompton laboratory is recruiting a postdoctoral research fellow to focus on analysis of multi-dimensional genomic data generated from highly unique cohorts of patient samples.

Computational Biologist (at the rank of Senior Technical Officer) in the Centre for PanorOmic Sciences (CPOS) (Ref.: 519939) (to commence as soon as possible on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme totalling up to 10% of basic salary with the possibility of renewal subject to satisfactory performance) We are Expanding | Come and Join Us Centre for PanorOmic Sciences (CPOS) is an academic research-support centre embracing multi-omics and big data biomedical research under the LKS Faculty of Medicine.

Job ID: 32963 Location: 450 Brookline Ave Boston MA 02215 Category: Fellowships Employment Type: Full time Work Location: PTL Remote: 2-3 days remote/wk Overview A full-time computational biology post doctoral research fellow position is available in the laboratory of Dr. Brian Crompton in the Department of Pediatric Oncology at the Dana-Farber Cancer Institute for a highly motivated individual.The Crompton laboratory is recruiting a postdoctoral research fellow to focus on analysis of multi-dimensional genomic data generated from highly unique cohorts of patient samples.

Computational Biologist (at the rank of Senior Technical Officer) in the Centre for PanorOmic Sciences (CPOS) (Ref.: 519939) (to commence as soon as possible on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme totalling up to 10% of basic salary with the possibility of renewal subject to satisfactory performance) We are Expanding | Come and Join Us Centre for PanorOmic Sciences (CPOS) is an academic research-support centre embracing multi-omics and big data biomedical research under the LKS Faculty of Medicine.

Applications are invited for an open-rank cross-disciplinary tenure-track faculty position in computational biomedicine in the College of Engineering at the University of Delaware. The position will have a primary appointment in the Computer and Information Sciences (CIS) Department and a secondary appointment in either the Biomedical Engineering (BME) Department or the Electrical and Computer Engineering (ECE) Department, depending on candidate research interests.

Highly motivated and creative postdoctoral candidates are sought to work at the Yang Zhang Lab, Cancer Science Institute of Singapore, Department of Computer Science, at National University of Singapore.

We are seeking for a full-time bioinformatician in the cancer biology laboratory of Dr. Shruti Bhatt in the Department of Pharmacy at the National University of Singapore.

Do you have expertise in, and passion for, computational oncology? Would you like to apply your expertise to generate biological insights from multi-omics data sets using the state of art machine learning techniques in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!

Lilly Genetic Medicine is looking for a talented and motivated computational scientist to join our team in Cambridge, MA. We pursue cutting-edge research in a highly interdisciplinary environment to enable the next generation of RNA therapeutics. We work in close collaboration with colleagues in drug delivery and across therapeutic areas.

A Senior Research Scientist position is available immediately in Prof Chng Wee Joo’s groups for a highly motivated PhD graduate with experience in Bioinformatics (computational genomics). The focus of the lab is on deciphering transcriptional and genomic abnormalities in the context of blood cancer, including epigenetic and superenhancer deregulation, using single cell sequencing amongst other genomics techniques. Candidates should have backgrounds in bioinformatics, genomics, computer science, statistics, or other related fields.

A postdoctoral position is available immediately in Prof Chng Wee Joo’s groups for a highly motivated PhD graduate with experience in Bioinformatics (computational genomics). The focus of the lab is on deciphering transcriptional and genomic abnormalities in the context of blood cancer, including epigenetic and superenhancer deregulation, using single cell sequencing amongst other genomics techniques.

The Fröhlich lab develops models to describe the dynamic behaviour of biological systems combining techniques from mathematical modelling and machine learning. We develop computational tools to build and train these models on experimental data and apply these tools to understand the fundamental rules that govern how cells respond to external perturbations.

The Research Fellow will be required to work on coastal hydrodynamics, such as wave-current interaction, sediment transport, wave-structure interaction which includes both laboratory experiments and numerical modelling with Computational Fluid Dynamics approach. The project will mainly focus on the rough surface structures and flexible structures in the coastal regions.

We are seeking a motivated Computational Immunologist to join our rapidly growing team. The successful candidate will conduct immune repertoire analysis with highly parallel assay data and computational modeling to support the discovery, engineering, and evaluation of novel therapeutic antibodies and vaccines. They will play a key role in our discovery through translational efforts, formulating and executing on a science & technology strategy that will allow the company to deliver against its goals.

We are seeking an intern pursuing a master’s or PhD degree with expertise in computer science and interest in toxicology to help us explore and integrate additional sources of RDT studies (eTox and eTransafe DB) with internal preclinical and clinical data and test their applications in forward and reverse translation of drug discovery. Furthermore, we would like to test and validate the tools for query, analysis and visualization as well as computational models applied to the expanded dataset.

We are currently looking for a Postdoctoral Fellow to join Dr. Andrew Roth’s and Dr. Adi Steif’s computational cancer genomics research groups at the BC Cancer Research Institute (BCCRI). The current position is for a candidate with experience developing and applying computational methods to analyze high throughput biological data. The successful applicant will be part of an exceptional multidisciplinary team developing and applying single cell multiomic methods to study evolution and disease transformation risk in follicular lymphoma (FL).