Job Area: Computational Biology
Job ID: 28100 Date Posted: 05/24/2016 Location: Center for Life Sciences Job Family: Research - Laboratory Full/Part Time: Full-Time Regular/Temporary: Regular FLSA Status: Exempt About Dana-Farber Located in Boston, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Overview Join Chris Sander's group as a postdoc at Dana-Farber Cancer Institute (cBio Center at DFCI) or Harvard Medical School (computational biology collaboratory at HMS), with links to the Broad Institute. We are forming a dynamic group of smart scientists to make scientific discoveries in basic biology and help cure cancer. On computers, in the lab and in collaboration with clinicians. Work with us on: Perturbation biology and network pharmacology Cancer genomics and proteomics and metabolomics Protein structure, function & evolution Biological information resources Join a highly interactive team of postdocs, graduate students and software engineers. Work on algorithms and computational analysis, and/or on combination therapy and evolution experiments in the wet lab. Collaborate with others and lead a project. Check your predictions against experiment. Do imaginative basic science and help apply it in real life. You have a PhD or equivalent in biology, medicine, mathematics, computer science, physics, chemistry or engineering. Your appointment will be in the Department of Biostatistics and Computational Biology at DFCI or the Department of Cell Biology at HMS. Send CV, bibliography, brief statement of research interests and names of 3 references to cbio.jobs{at}jimmy.harvard.edu. Then pack your bags and spend a few years doing productive research in computational and systems biology in the silicon valley of the life sciences: Boston, Massachusetts. Science for peace and research for a better quality of life. The mission of Dana-Farber Cancer Institute is to provide expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. Our Core Values are: Impact - Above all else, we make a difference by relieving the burden of disease now and for the future through our research, clinical care, education, outreach and advocacy. Excellence - We pursue excellence relentlessly and with integrity in all that we do, adhering always to the highest standards of conduct. Compassion and respect - For those in our care and for one another. Discovery - We foster the spirit of inquiry, promoting collaboration and innovation across traditional boundaries while celebrating individual creativity. Schedule Standard Hours: Monday - Friday How to Apply Please apply directly online at http://www.dana-farber.org/Careers/Careers-at-Dana-Farber.aspx. Click Search Job Openings and use the Job ID number to quickly locate the appropriate job listing. Once you have located the desired job, click on the checkbox in the 'Select' column, and then click the 'Apply Now' button, located at the bottom of the screen. DFCI Employees please apply directly through PeopleSoft Self Service. Sign on to PeopleSoft and navigate to Main Menu > DFCI Careers. Equal Employment Opportunity Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law. Apply Here: http://www.Click2Apply.net/3vydp33bxj [More]
In computational biology or bioinformatics is preferred. To apply, please send a cover letter or short statement of interest, CV and contact information for... From Emory University - 19 May 2016 05:19:28 GMT - View all Atlanta jobs [More]
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Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch's pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation's first and largest cancer prevention research program, as well as the clinical coordinating center of the Women's Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here. The laboratory of Dr. Harlan Robins, Head of Computational Biology, is recruiting two postdoc positions funded by Stand UP 2 Cancer and the V Foundation to study the interaction between the adaptive immune system and cancer. This position will come with a competitive postdoc-level salary with great benefits for a two-year position with some possibility of extension. Fred Hutchinson Cancer Research Center, home of about 190 faculty including three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research. The environment is lively yet casual, with a strong emphasis on collaborative work. The Center is housed in a lovely campus next to Lake Union a short walk from downtown, and a slightly longer walk from the University of Washington. The position will involve technology development, algorithm creation, and applications. Primary research goals will be to develop high-throughput technologies to assess the specific immune response to cancer and to learn how the tumor evades this response and how the response can be resuscitated to effectively fight tumors. [More]