This is an unique opportunity for a passionate senior computational scientist with expertise in Computational Biology, to play an influential role in drug discovery projects at AstraZeneca in Cambridge UK. The Computational Structural Biology (CSB) team is expanding and it has expertise in structural bioinformatics, protein modelling and design, molecular dynamics simulations, free-energy calculations, protein docking, and in silico prediction of physico-chemical properties of biomolecules using advanced computational methods.

We are looking for a biostatistician with 3 years of contract to analyze high-dimensional molecular assay data for clinical biomarker discovery in cardiovascular diseases. The staff will be involved in biomarker studies across a multitude of local and cross-country cohorts of patients under care for heart failure, coronary artery disease, and acute coronary syndromes.

Masters or Ph.D. in genetics, genomics, bioinformatics, computational biology, or related fields with 2 years of working experience

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

The Computational Biologist performs bioinformatics analyses and contributes to software development related to the operation of a large-scale clinical sequencing facility. This is a temporary renewable full-time position.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

Applicants should possess a Ph.D. in computational biology, computer science, mathematical biology or statistics, with expertise in phylogenetics, molecular epidemiology and bioinformatics. They should have a strong interest in infectious disease research, a good command of written and spoken English, excellent communication skills, and a strong track record of research as indicated by publication record.

At Bristol Myers Squibb we are inspired by a single vision transforming patients lives through science.In oncology hematology immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change.

The Senior Scientist, Computational Biophysics will conduct computational biophysical research to aid in the design of novel ingredients across multiple Cargill businesses. In this position you will perform computational biophysical simulations of proteins and ligands, develop computational infrastructure and build & deploy computational workflows for non-experts.

Job Description Identify and develop software tools for efficient data integration and for mining diverse types of biological data Collaborate closely with Research Fellows to identify opportunities for accelerating product development Build innovative frameworks for data integration and automated data mining Develop reusable libraries and implement best coding practices to build and continually improve the research lab's computational capabilities and workflows Apply computer tools to transform metagenomics data for disease diagnosis and treatment solution Work closely with end users to identify analyze and solve bioinformatics resourcing and application Qualifications At least Bachelors degree in computer science computational biology or similar degree field with minimal 2 years related work experience is required.Covid-19 Message At NUS the health and safety of our staff and students are one of our utmost priorities and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible.

Data Scientist Computational Genetics YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role Data Scientist Computational Genetics are to: Provide technical contributions in a fast paced team environment to accelerate our efforts on building an analytics driven product pipeline using genotypic and genomic data; Independently perform statistical analysis computer programming predictive modeling and experimental design; Build cross functional relationships to collaboratively partner with the business and effectively network within the Data Science Community; Use advanced mathematical models machine learning algorithms operations research techniques and strong business acumen to deliver insight recommendations and solutions; Contribute to the development of code bioinformatic analyses pipelines computational tools and databases for mining and visualizing large genomic data sets; Develop sustainable consumable accurate and impactful reporting on model inputs model outputs observed outputs business impact and key performance indicators; Present compelling validated stories to all levels of organization including peers senior management and internal customers to drive both strategic and operational changes in business.Domestic relocation as well as visa sponsorship is available WHO YOU ARE Your success will be driven by your demonstration of our LIFE (Leadership Integrity Flexibility Efficiency) values.

The National University of Singapore invites applications for a research fellow position (post-doctoral fellowship) in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Centre for Sleep and Cognition and Centre for Translational Magnetic Resonance, Yong Loo Lin School of Medicine, and Department of Electrical and Computer Engineering.

We are seeking a motivated and enthusiastic PhD graduate to work on rates of evolution and models of macroevolutionary change. The successful candidate will be part of the Molecular Ecology, Evolution, and Phylogenetics Lab, led by Professor Simon Ho and Professor Nathan Lo.