Position is with: Laboratory of Genome Integrity - Andre Nussenzweig, Ph.D. One post-doctoral position is immediately available in the Laboratory of Genome Integrity, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), to use computational methods in the study of mechanisms involved in DNA double-strand break repair and the roles of repair proteins in a variety of cancers that include leukemias and breast cancers, using mouse models.The position will emphasize efforts to understand gene regulation, chromatin, regulatory and structural variation and its relation to cancer.

We are seeking motivated post-doctoral fellows who are experienced in dealing with high-dimensional data and possess strong computer programming skills.Individuals that will join our team will work closely with researchers and clinicians, and will be mentored by leading computational labs to provide expertise to the PMCC AI team.

Post-doctoral Fellowship in RNA Structural Genomics We are seeking highly qualified computational scientists with expertise/interest in RNA structure and biology.The Nagarajan Lab, in collaboration with the Wan Lab at the Genome Institute of Singapore are looking for applicants to direct collaborative projects involving the development of new algorithms and the analyis of novel high-throughput, genome-scale RNA structure datasets.

The Broad Institute of MIT & Harvard, a world leader in cancer genome research, is looking for an exceptional candidate to join the Sellers Lab.The successful candidate will join an interdisciplinary team of bioinformatics analysts and biologists who are working together to elucidate new therapeutic hypotheses and to develop novel cancer therapeutics.

We are looking for genomics researchers with a keen interest in studying the role of microbes in skin diseases.The Nagarajan lab in the Genome Institute of Singapore, in collaboration with the Epithelial Biology group in the Institute of Medical Biology are seeking candidates to lead multiple projects studying the role of the microbiome in inflammatory diseases of the skin (e.g.

Despite decades of intense effort, cancer remains stubbornly resistant to treatment and causes one in four deaths worldwide.Traditional chemotherapy is highly toxic and rarely produces a cure.

Overview Medical Science & Computing (MSC), a Dovel company, is an exciting growth oriented company, dedicated to providing mission critical scientific and technical services to the Federal Government.We have a distinguished history of supporting the National Institutes of Health (NIH) and other government agencies.

Wellcome Centre for Human Genetics, Roosevelt Drive, Oxford Grade 8: £41,526 - £49,553 p.a.We have an exciting opportunity for an experienced computational biologist/statistician to join the Genomics Platform of the University of Oxford Human Immune Discovery Initiative (HIDI) to analyse data generated by single-cell and spatial transcriptomics next-generation sequencing technologies.

Job Description DESCRIPTION We are seeking experimental research associates to join a new team at the Broad Institute to build a Human Gene Regulation Map.This effort, led by Institute Director Eric Lander, will seek to understand the fundamental wiring of the noncoding genome and build a reference atlas for discovering biological mechanisms on common genetic diseases.

The MGH Center for Immunology and Inflammatory Diseases (CIID) is looking for exceptional computational biologist candidates to join the Single Cell Genomics Research Program directed by Dr. Alexandra-Chloé Villani.This multidisciplinary research program focuses on developing and implementing systems immunology and genomics strategies to further our understanding of the human immune system.

Job Description We are looking for a highly motivated individual to join the Stanley Center for Psychiatric Research at the Broad Institute.This person will be responsible for integrating and analyzing GWAS, whole exome sequencing and whole genome sequencing data, and for interpreting genetic association results in the context of deeply phenotyped data sets.

Classification Title:Postdoc - Computational Systems Biology Working Title:Postdoc - Computational Systems Biology Campus:NC State University Region:Piedmont/Triangle Job Summary:A postdoctoral research scholar position is available immediately in the laboratory of Dr. Belinda Akpa at North Carolina State University.The postdoc will work closely with plant cell biologists in the Rojas-Pierce lab to develop a multi-scale model bridging intra-cellular protein dynamics with evolution of cell morphology by predicting organelle fusion dynamics.

We are looking for a highly motivated individual to join the Stanley Center for Psychiatric Research at the Broad Institute.This person will be responsible for integrating and analyzing GWAS, whole exome sequencing and whole genome sequencing data, and for interpreting genetic association results in the context of deeply phenotyped data sets.

Working Title Postdoc-Computational Biologist/Software Engineer Division Academic Affairs Department Coll of Computing&Informatics (Col) Work Unit Bioinformatics and Genomics Work Location Kannapolis - NCRC Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Part-time Hours per week 40 Work Schedule Monday – Friday Pay Rate Pay Rate varies Minimum Experience/Education The Postdoctoral appointee must have recently (within the last eight years) been awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.)Departmental Preferred Experience, Skills, Training/Education: Proven work experience as a Software Engineer or Software Developer -Experience designing interactive applications -Ability to develop software in Java, C++, Python or other programming languages -Excellent knowledge of relational databases, SQL and ORM technologies (JPA2, Hibernate) -Experience developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC) -Experience with test-driven development -Proficiency in software engineering tools -Ability to document requirements and specifications -BSc degree in Computer Science, Engineering or relevant field -~2 years of software engineering in the C, C++, java, haskell Must know data science coding/visualization Python or R Machine and deep Learning, modeling, and/or statistics gets you a fast track to the front of the line.

By applying to this job, you will be considered for all Associate Computational Biologist I (ACB) opportunities across The Broad Institute.Available for Spring 2020 graduates only.

Seeking an outstanding individual to join the Cazer Lab and Master of Public Health research group in the Population Medicine & Diagnostic Sciences Department, Cornell University College of Veterinary Medicine, as a postdoctoral associate in the area of COVID-19 and antimicrobial resistance surveillance.The Cazer Lab investigates the epidemiology of antimicrobial resistance with methods from computational biology, machine learning, and statistics.

The life sciences are in the midst of a data revolution.Cheap and accurate genome sequencing is a reality, high-resolution imaging is becoming routine, and clinical data is increasingly stored in machine-readable formats.

Postdoctoral Bioinformatician/Research Scientist Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Headington, Oxford Grade 8: £41,526 - £49,553 p.a.Applications are invited for a highly motivated, ambitious and enthusiastic postdoctoral bioinformatician/computational research scientist to join an existing research group led by Professor Anne Goriely at the MRC Weatherall Institute of Molecular Medicine.

The Vector Engineering laboratory led by Dr. Ben Deverman within the Stanley Center for Psychiatric Research at the Broad Institute of Harvard and MIT aims to expand the impact of gene therapy by engineering next-generation adeno-associated virus (AAV) delivery vehicles.We seek to address the current limitations of AAV vectors by enhancing their ability to efficiently and specifically deliver genes to target organs and cell types, improving their manufacturing, and rendering them less susceptible to immune inactivation.

The life sciences are in the midst of a data revolution.Cheap and accurate genome sequencing is a reality, high-resolution imaging is becoming routine, and clinical data is increasingly stored in machine-readable formats.