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    Are you a skilled developer with a desire to make a real difference? Do you have experience working with big data and systems architecture? Can you make large amounts of data easily explorable using web-based applications? Then you might be Intomics' new developer for bioinformatics applications.

    BACKGROUND

    Intomics is specialized in deriving core biological insights from analysis and integration of biomedical big data. Through the use of world-leading expertise, value-added data sets, and a unique systems biology platform, we help the pharmaceutical industry discover new biomarkers and drug targets, improve translational research and realize their precision medicine ambitions.

    RESPONSIBILITIES

    We are looking for a developer with excellent programming skills to develop rich, web-based products visualizing and making exploration of biomedical big data easy and comfortable.

    At Intomics we use Linux for our servers, macOS for our workstations, and in addition to the tools and technologies mentioned above we use Apache, Docker, Django, Git, Neo4j, Node.js, Perl, PostgreSQL and R. The ideal candidate will have knowledge of any of these as well as an interest in science, in particular computer science, bioinformatics, or text mining.

    REQUIREMENTS

    The candidate must fit well with our existing team, and, in addition, have the following profile:
    • Strong programming skills in JavaScript and Python
    • A solid knowledge and understanding of HTML5, CSS and modern web technologies
    • Familiarity with Linux and database theory
    • Team spirit and ability to interact professionally with our clients
    • Can both design application structures and work with structures designed by others
    • Strong reporting and documentation skills
    • A background in or experience with C programming is an advantage

    PREFERENCES

    At Intomics we use Linux for our servers, macOS for our workstations, and in addition to the tools and technologies mentioned above we use Apache, Docker, Django, Git, Neo4j, Node.js, Perl, PostgreSQL and R. The ideal candidate will have knowledge of any of these as well as an interest in science, in particular computer science, bioinformatics, or text mining.

    Examples of well working applications the candidate has contributed to will be an advantage.

    LOCALE

    Intomics A/S, located in Lyngby, North of Copenhagen, Denmark.

    COMPENSATION

    Intomics offers an exciting and challenging job, where you get the opportunity to develop your skills and qualifications, applying them to relevant research. You will get to work with interesting projects in collaboration with our clients and your colleagues. Intomics A/S offers a competitive salary and a friendly working environment.

    HOW TO APPLY

    Please send your motivated application, CV and references (pdf format recommended) to applications[at]intomics.com with "Application-6473 Bioinformatics applications developer" in the subject field no later than Friday, January 6, 2017.

    All interested candidates irrespective of age, gender, race or religion are encouraged to apply. Enquiries about the position can be made to Rasmus Borup Hansen, tel: +45 88807979. Information about Intomics can be found at www.intomics.com.

    DEADLINE

    January 6, 2017

    BACKGROUND

    As part of a £8 million award from the MRC, industry and University of Birmingham, we have established a state-of- the-art metabolic phenotyping (metabolomics) facility to conduct medical research including the development of stratified medicine approaches. Phenome Centre Birmingham (PCB), which was formally opened on 23 May 2016 by the UK Government's Chief Scientific Advisor Sir Mark Walport (www.birmingham.ac.uk/news[...].aspx), is applying eleven new liquid chromatography-mass spectrometers (LC-MS), two new Bruker 600 MHz NMR spectrometers, liquid handling robots and high specification computational infrastructure to better understand metabolic perturbations in human health, disease and ageing. The facility is anticipated to conduct tens of thousands of analyses of human samples per year, creating genuinely "Big Data", with extensive clinical metadata. It is based alongside one of the largest hospitals in Europe, the Queen Elizabeth Hospital at Birmingham, and the new £24 million Institute of Translational Medicine. In addition, the PCB will interact closely with the MRC-NIHR National Phenome Centre in London and the new international network of Phenome Centres to enhance metabolic phenotyping in the UK and globally.

    RESPONSIBILITIES & REQUIREMENTS

    We seek a highly motivated bioinformatician to join the 10-person PC-B team and contribute to fulfilling the research objectives of this centre with a focus on developing, implementing and applying bio- and chemo-informatics tools for the integration and analysis of clinical metadata and mass spectrometry metabolic phenotyping data; tools for metabolite identification; and/or statistical bioinformatics. This will include implementing automated data processing pipelines, contributing to experimental design, undertaking statistical and computational analyses, and interpretation of large scale metabolomics datasets. Further opportunities include collaborating with clinical scientists and contributing to training courses in the Birmingham Metabolomics Training Centre (www.birmingham.ac.uk/bmtc).

    Applicants should hold a PhD (awarded) in computational metabolomics, chemoinformatics, bioinformatics, biostatistics or a closely related area, with experience and demonstrated success of working independently and as part of a large team in a bioanalytical or academic research facility in industry or academia as well as having a growing national reputation in metabolomics and/or bioinformatics/biostatistics.

    TERMS

    The post is available in the first instance for 3 years with the expectation for significant extension subject to the success of Phenome Centre Birmingham.

    LOCALE

    Birmingham, United Kingdom

    HOW TO APPLY

    Informal enquiries can be addressed to Professor Mark Viant (tel: +44 (0)121 414 2219 or email: M.Viant[at]bham.ac.uk) or Dr Warwick Dunn (tel: +44 (0)121 414 5458 or email: W.Dunn[at]bham.ac.uk).

    For further information or to apply visit [Job ID Number - 55192]: www.hr.bham.ac.uk/jobs

    DEADLINE

    4th January 2017

    RESPONSIBILITIES

    A post-doctoral level research staff position is available to head the EMBL Centre of Biological Modelling (CBM) based at EMBL's Heidelberg site. Research at EMBL covers most areas of modern biology, including structural, cell, developmental, neuro- and tissue biology, and it uses cutting-edge technologies including biophysics, imaging and genomics. The jobholder will support EMBL scientists to exploit the opportunities of mathematical modelling for their research. The scope comprises "bottom-up" mechanistic modelling based on first principles as well as data-driven "top-down" modelling using systems analysis and statistical methods. She/he will
    • Consult EMBL researchers institution-wide on biomodelling research problems, including but not limited to signalling, metabolism, cellular architecture, cell and tissue mechanics, and systems genetics.
    • Participate in on-going research projects with mathematical modelling components.
    • Organise training courses, workshops and seminars relevant to mathematical modelling in biology.
    • Contribute to methods and tool development in this exciting area of quantitative biology to make these widely available to a large range of biological researchers.
    The successful candidate will work together with the Patil, Huber and Ellenberg groups and in close collaboration with the other computational centres at EMBL: the Centre for Statistical Data Analysis, the Centre for Biomolecular Network Analysis, the Bio-IT network and other related efforts inside and outside EMBL. The position offers the potential to develop a unique qualification portfolio in the growing areas of applied quantitative biology and research infrastructures.

    REQUIREMENTS

    Qualifications and Experience:
    The position requires outstanding quantitative and analytical skills. The candidate will have a PhD in systems biology, computational biology, biophysics, mathematics or a related field. We are looking for strong skills in mathematical modelling and logical analysis of complex problems, and a desire to make an impact in biological research. Curiosity to work in interdisciplinary projects and continuously expand your horizon is expected. Expertise in scientific computing is required, including programming skills in more than one language (Python, C++, R, MATLAB, etc.). The position requires good written and spoken communication skills, reliability, and keen interest in delivering top quality services.

    ABOUT US

    The European Molecular Biology Laboratory (EMBL) is one of the highest ranked scientific research organisations in the world. The headquarters Laboratory is located in Heidelberg (Germany), with additional sites in Cambridge (UK), Grenoble (France), Hamburg (Germany) and Rome (Italy).

    HOW TO APPLY

    Please apply online through www.embl.org/jobs

    Additional Information:
    Please note that appointments on fixed term contracts can be renewed, depending on circumstances at the time of the review.

    POLICY

    EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation.

    BACKGROUND

    Located in Boston and the surrounding communities, 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.

    Dana-Farber's Department of Biostatistics and Computational Biology is the home of the ECOG-ACRIN Cancer Research Group's Boston Biostatistics Center. ECOG-ACRIN is part of the NCI National Clinical Trials Network (NCTN), and has been conducting collaborative clinical trials since 1955. The Boston-based team is responsible for planning, executing and reporting the group's therapeutic clinical trials. There are currently 24 ongoing studies with target accrual of over 11,000 patients. Sixteen statisticians and 4 other staff members work in ECOG-ACRIN's Boston Biostatistics Center.

    RESPONSIBILITIES

    Under the direction of the Group Statistician/Director, the Assistant Director for Operations guides and manages all operational aspects of the Center. Major areas of managerial responsibility include oversight of statisticians, database administrators, and administrative support staff, and serving as liaison/advisor to managers in other ECOG-ACRIN offices. The Assistant Director may serve as the lead statistician for PrECOG, a not-for-profit, privately funded clinical trials arm of ECOG-ACRIN. The Assistant Director also has scientific committee leadership responsibilities and serves as a therapeutic statistician along with the other ECOG-ACRIN statistical staff, with corresponding scientific responsibilities.

    REQUIREMENTS

    • Advanced degree (MS or PhD) in biostatistics
    • 5 or more years of experience planning and conducting multi-site clinical trials is required, preferably in the NCTN
    • Excellent leadership and communication skills
    • Demonstrated experience managing personnel, providing reviews, training and mentoring
    Knowledge, Skills and Abilities Required:
    The position requires statistical and managerial expertise, an interest in facilitating smooth operations of a complex organization, and enthusiasm for mentoring and supporting other team members.

    HOW TO APPLY

    Contact Us: danielle_brown[at]dfci.harvard.edu

    POLICY

    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.

    BACKGROUND

    A postdoctoral research associate position is available to work on the bioinformatic characterization and classification of the rapidly increasing set of bacterial toxins active against economically relevant pests. The incumbent will be housed in the laboratory of Dr. Bryony C. Bonning in the Department of Entomology and Nematology at University of Florida with the project conducted in collaboration with Dr. Neil Crickmore, University of Sussex, UK and Drs. Colin Berry and Tom Connor, Cardiff University, UK. The project will be part of a newly-formed consortium overseeing a Bacterial Pesticidal Protein Information Resource Center.

    REQUIREMENTS

    Applicants should have a PhD in protein bioinformatics and experience in managing databases.

    PREFERENCES

    An interest in bacterial toxins would be advantageous.

    TERMS

    The appointment will be for one year initially with potential for renewal.

    COMPENSATION

    Salary will be a minimum of $47,500 according to experience.

    ABOUT US

    University of Florida has an outstanding program in Computational Biology and a Bioinformatics Core within the Center for Biotechnology Research (see www.biotech.ufl.edu/core[...]tics/). The diverse faculty has strengths in both basic and applied research, and strong collaborative and interdepartmental interactions.

    HOW TO APPLY

    Email a single pdf file with "PD application - PB" in the subject line containing 1) a statement of research experience, interests and career goals, 2) curriculum vitae including complete publication list, 3) names, e-mail addresses and telephone numbers for three references to: Dr. Bryony C. Bonning, E-mail: camtech[at]iastate.edu

    DEADLINE

    Review of applications will begin on Friday, January 20, 2017 and continue until the position is filled.

    BACKGROUND

    Located in Boston and the surrounding communities, 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.

    RESPONSIBILITIES

    The Knowledge Systems Group at Dana-Farber Cancer Institute seeks a Research Scientist to lead computational biology and bioinformatics initiatives in precision cancer medicine. This is an essential role for building precision medicine platforms within DFCI, performing translational cancer genomics research, and for maintaining the public, open source cBioPortal for Cancer Genomics (cbioportal.org).

    Job Requirements:
    • Serve as the primary product and project manager at DFCI for the open source cBioPortal for Cancer Genomics (cbioportal.org)
    • Serve as the primary outreach and education coordinator for the cBioPortal for Cancer Genomics
    • Perform integrative cancer genomics analysis and data mining
    • Establish interdisciplinary research projects with clinical and translational collaborators at DFCI

    REQUIREMENTS

    • PhD in cancer biology or cancer genomics, with a strong clinical / translational cancer focus
    • Expertise in cancer genomics, and the clinical application of cancer genomics
    • Experience in data science and data mining, preferably in Python
    • Excellent communication and writing skills
    • Excellent organization skills, and ability to organize teams
    • Exceptional attention to detail
    • Strong leadership skills
    The candidate must also demonstrate outstanding personal initiative and the ability to work effectively as part of a team. Ability to meet deadlines and efficiently multitask is a must.

    HOW TO APPLY

    Interested candidates should include a short description of your interest with your CV.

    Apply Here: www.Click2apply.net/pqsdqfkwgq

    POLICY

    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.

    Submitter

    RESPONSIBILITIES

    Candidate will aid in the coordination and facilitation of facets of NHLBI's TOPMed program, particularly as to data gathering, deposition, and analysis, as part of the CSRA team of senior subject matter experts working to aid NHLBI in creating a roadmap to move genomics data from multiple NHLBI research efforts to the cloud. Will involve meetings at NIH with TOPMed program staff, investigators, and IT staff. Production of weekly and monthly status reports, and use of Jira, Innotas, and SharePoint for deliverable tracking and other documents, as well as other project documents, meeting minutes, and and presentations. Will conduct Internal Program Reviews.

    REQUIREMENTS

    Ph.D. in the biological sciences highly preferred, along with substantial (more than 5 years) program management experience. Ability to understand concepts in modern IT, including cloud computing, APIs, and containers needed. Exposure to NIH programs and extramural program management necessary, as well as interpersonal skills to deal with senior investigators at the NIH and elsewhere, as well as NHLBI leadership. Experience with Heart, Lung, Blood, and Sleep (HLBS) projects a plus.

    TERMS

    At present, this position is funded full time for 1 year

    LOCALE

    Rockville, Maryland, USA

    HOW TO APPLY

    Please apply directly online to job #12005 via www.csra.com/careers or this link: jobs.csra.com/job/[...]14367
    Opportunity: Bioinformatic Postdoc @ KAUST -- Thuwal, Saudi Arabia
    Submitted by Manuel Aranda; posted on Friday, December 02, 2016

    BACKGROUND

    We are currently seeking a highly motivated, independent but team-oriented postdoctoral fellow with strong bioinformatics background. Our group applies functional and comparative genomics techniques to investigate the molecular basis of symbiosis and adaptation in corals and related cnidarian model organisms. The respective projects are focused on NGS data analysis and include RNAseq, genome and transcriptome assembly as well as bisulfite and ChIP-Seq data.

    The successful candidate will join the Group of Prof. Manuel Aranda at the Red Sea Research Center of the King Abdullah University of Science and Technology (KAUST). Strong computational skills in the areas of Perl or Python programing as well as the proficient use of open source software for data processing and analysis of NGS data are required.

    RESPONSIBILITIES

    • Handle and analyze NGS data (Illumina, PacBio)
    • Develop, assess, and adapt new technologies, protocols, and software
    • Write proposals and manuscripts for publication
    • Manage data, such as distribution and backup
    • Assist and train students

    REQUIREMENTS

    • PhD with emphasis in bioinformatics, molecular biology, or genetics
    • Must have bioinformatics skills and strong understanding of basic biology, genomics, high-content data analysis, and genome databases
    • Experience in programming, databases and Unix/Linux environment (Python or Perl, R,)
    • Experience with bioinformatics software such as assemblers, mappers, and general tools
    • Next-gen sequencing pipeline experience

    TERMS

    Initial appointment will be made for one year and extended based on performance.

    LOCALE

    KAUST is a dynamic new university campus and campus community in Saudi Arabia that opened in September 2009. The campus is located directly at the Red Sea, near Jeddah. More information is available at www.kaust.edu.sa.

    COMPENSATION

    The position includes a highly competitive tax free salary, accommodation, annual leave, and health insurance.

    HOW TO APPLY

    Please send cover letter summarizing your qualifications and interests, a curriculum vitae, and the names and contact information for 2 references to manuel.aranda[at]kaust.edu.sa.

    Applications that do not fulfill requirements outlined above will not be considered.

    DEADLINE

    Open till filled

    BACKGROUND

    The Institute for Genome Sciences (IGS) and Genomics Resource Center (GRC) is recruiting for a Bioinformatics Analyst I. Comprised of an inter-disciplinary, multi-department team of investigators, IGS uses genomics and bioinformatics to understand genome function in health and disease, to study molecular and cellular networks in a variety of model systems, and to generate data and bioinformatics resources of value to the international scientific community. The Genomics Resource Center (GRC) is a high-throughput laboratory and data analysis group supporting the scientific programs of IGS and its collaborators, both across the University of Maryland Baltimore campus and around the globe. Using multiple high-throughput sequencing and analysis platforms, the GRC generates high-quality genomic data in a cost-effective manner. Bioinformatics teams at IGS include researchers with expertise in genome assembly, genome analysis and annotation, comparative analysis, evolutionary analysis, systems biology, cancer genomics, and genotyping. The Informatics Resource Center (IRC) at IGS provides annotation and analysis of genomic data for projects locally and internationally, using state-of-the-art computational infrastructure.

    RESPONSIBILITIES

    Bioinformatics Analysts contribute to genomic research projects and scientific analysis of the data generated by those projects using a variety of database and software applications. Their responsibilities include generation, annotation, gathering or analyzing data and preparing for further analysis, research, or publication.

    Essential Functions:
    • Following established procedures or specific scientific protocols, add value to data generated by genome sequencing projects through assembly, annotation, curation, and quality assurance.
    • Perform preliminary analysis of genomic data and format for use by other analysts or scientists.
    • Integrate and analyze data from genome sequencing projects, functional genomics analysis, and other school of medicine research projects.
    • Perform data mining and synthesis activities using various internal resources, public databases and publications.
    • Organize genomic data with other relevant data types into databases, displays, or graphic presentations for publication and web presentation.
    • Participate in community outreach and training.

    REQUIREMENTS

    Education: Bachelor's degree in Computer Science, Information Systems, Bioinformatics or Life Sciences, including fields, I.e., Biology, Molecular Biology, Genetics, Biochemistry.

    Experience: Experience with Windows and UNIX-based operating systems.

    PREFERENCES

    Master's degree in a related field is preferred and may be substituted for two (2) years of experience.

    LOCALE

    Baltimore MD

    COMPENSATION

    Commensurate with education and experience

    HOW TO APPLY

    Please visit our website, www.igs.umaryland.edu/index.php, and apply on the Career page.

    DEADLINE

    Open until filled

    POLICY

    Equal Opportunity/Affirmative Action Employer. Minorities, women, protected veterans, and individuals with disabilities are encouraged to apply.

    BACKGROUND

    The College of Agriculture and Applied Sciences (CAAS) invites applications for a faculty position as an Assistant or Associate Professor in the Center for Integrated BioSystems (CIB) with an academic appointment in an appropriate department within the College. This position is part of a cluster of hires focusing on analysis of big data sets across multiple colleges at Utah State University. This is a nine-month, tenure-track research and teaching position, with research as the major area of appointment. The individual selected for this position will conduct independent and collaborative research involving large data sets and will teach upper division undergraduate and graduate level courses in bioinformatics.

    RESPONSIBILITIES

    The incumbent will be expected to develop a nationally recognized, extramurally funded research program in bioinformatics. In addition, it is expected that he/she will collaborate with other faculty members on research projects involving large biological datasets. These datasets may be of any type, but many will be Next-Generation sequencing data of a variety of types including but not limited to whole genome sequencing, RNA-Seq, metagenomics, epigenetics, and genotyping by sequencing. This collaborative work will include experimental design, grant application development, and data analysis.

    Excellence in teaching is highly valued and the successful candidate will be expected to develop and teach upper division undergraduate and graduate level courses in bioinformatics, as well as mentor graduate and undergraduate research students. The new courses developed by this faculty member will be part of a campus wide initiative in the analysis of big data.

    REQUIREMENTS

    Minimum Qualifications:
    • D. degree in bioinformatics, statistics, computer science or a related field with training in bioinformatics
    • A good working understanding of biological systems and molecular biology
    • Familiarity with modern bioinformatics programs, tools, and software development platforms
    • A strong background in biostatistics
    • Excellent written and oral communication skills
    • Ability to work effectively in a collaborative setting
    Preferred Qualifications:
    • Postdoctoral research experience in bioinformatics, preferably involving genomic data from animals, plants or microbes
    • Experience working with data management systems and large biological datasets
    • Teaching at the university level
    • Training in molecular biology with an understanding of: DNA and RNA sequence data, transcriptome analysis, and quantitative polymerase chain reaction (PCR) data
    • Experience programming in 'R' and programming/scripting languages such as Python, Perl, Java, C, and/or C++
    • Experience with statistics, sequence analysis, transcriptome analysis, and biological network analysis software
    • A demonstrated track record in obtaining extramural funding
    Additional Qualifications for Consideration at the Rank of Associate Professor:
    • An established research agenda with a sustained record of scholarly activity
    • A record of excellence in research with a strong publication record
    • A record of consistent and substantial extramural funding success
    • Evidence of effectiveness in teaching and in mentoring graduate and undergraduate students
    • A national or international reputation in bioinformatics

    TERMS

    Opportunity Type: Full-Time w/benefits package
    Percent of Time or Hours per Week: 100%
    Job Category: Faculty

    COMPENSATION

    Advertised Salary: Commensurate with qualifications and experience

    LOCALE

    Location: Logan Campus
    College/Unit: College Of Agriculture & Applied Sci
    Department: Agricultural Experiment Station

    ABOUT US

    Dept/College Highlights:
    Utah State University is located in Logan/Cache Valley (www.loganut.org; www.cachechamber.com), a northern Utah population center of over 100,000 residents. Nestled in the Wasatch Range of the Rocky Mountains, Logan is 80 miles northeast of Salt Lake City and within a day's driving distance of six national parks. Its close proximity to ski resorts, lakes, rivers, and mountains make it one of the finest recreation environments in the nation. The area has excellent schools, a low crime rate, and a flourishing arts scene. Utah State University (www.usu.edu) is a Carnegie Doctoral Higher Research Activity Land-Grant Institution with an enrollment of 27,662 students.

    The College of Agriculture and Applied Sciences is one of eight academic colleges at Utah State University. CAAS is the home to six diverse departmental units as well as USU's School of Veterinary Medicine. In 2016, USU was identified by Campus Explorer as the top school in the US for students preparing for agriculture-related careers. For more information about the College of Agriculture and Applied Sciences and/or its constituent departments, please visit caas.usu.edu.

    HOW TO APPLY

    See usu.hiretouch.com/job-[...]=1965 for more information and to apply online.

    Apply Here: www.Click2Apply.net/dnq7254csq

    Requisition: F1600212
    Open Date: 11/16/2016
    Review Date: 01/09/2017

    DEADLINE

    Initial review of application materials will start on January 9, 2017. Position will remain open until filled.

    POLICY

    Employment in this position is contingent upon a satisfactory background check. Utah State University is an AA/EO Employer and encourages gender and ethnic diversity.

    BACKGROUND

    The Dana-Farber Cancer Institute (DFCI) and Harvard Medical School (HMS) seek an accomplished and innovative research faculty member to join the newly formed cBio Center at DFCI. The Center is an open and collaborative environment with a focus on computational biomedicine and cancer systems biology and is headed by Chris Sander. We provide an opportunity to pursue basic and translational research with an emphasis on solving biological problems using computational and data science methods, and to collaborate with cancer researchers and clinicians to impact clinical trials and cancer care in the age of genomically informed personalized medicine. The primary position will be in the Department of Biostatistics and Computational Biology at DFCI, with an academic appointment in the Department of Biomedical Informatics at HMS.

    Particular areas of interest include:
    • Machine learning and big data sciences
    • Biomedical image analysis
    • Phenotypic heterogeneity & single cell profiling
    • Computational immunology
    We also encourage strong applications in other areas of quantitative biology.

    REQUIREMENTS

    A Ph.D. or M.D./Ph.D. degree and a significant record of asking good questions, advancing technology, making discoveries, and reporting these in peer-reviewed publications. Academic rank at Assistant or Associate Professor will be according to experience and productivity.

    HOW TO APPLY

    Please send the following to chair[at]jimmy.harvard.edu, best by January 10, 2017: 1) a letter of application including a concise statement of past, current, and future research, 2) a curriculum vitae, 3) PDFs of your key publications (max four), and 4) contact information for four references. In addition, please ask your references to send letters of support to Giovanni Parmigiani, chair[at]jimmy.harvard.edu. Applications will be reviewed once the application package is complete.

    POLICY

    We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We especially encourage women to apply.

    BACKGROUND

    The Princess Margaret Cancer Centre is one of the top 5 Cancer Centres in Canada. The Princess Margaret Cancer Centre runs multiple initiatives related to Personalized Cancer Medicine to provide the right treatment for the right patient at the right time. These initiatives include the Cancer Genomics Program (cancergenomicsprogram.ca) and the Patient-Derived Model Core, both generating large amount of molecular and pharmacological data. The Haibe-Kains laboratory aims to leverage these data to develop robust predictors of drug response, which can be translated into clinical settings to improve cancer management and ultimately benefit the patients. To accomplish this ambitious aims, the Haibe-Kains laboratory develops database integrating compendiums of pharmacogenomic datasets and web-application to help explore and analyze these valuable data.

    RESPONSIBILITIES

    Due to rapid expansion, there is a need for a talented Software Developer who will be responsible for:
    • Developing web-based computational approaches to large-scale interpretation of genomic variants and novel visualization approaches to depict these data in support of clinical reporting
    • Build/maintain a catalog/inventory of the pharmacogenomic datasets to enable high-level browsing by clinicians and researchers. This may include setup and hosting of a local server for operation to warehouse such data
    • Develop programmatic approaches to link genomic and pharmacological data generated in the Haibe-Kains lab, in the Patient-Derived Model Core and the Cancer Genomics Program, as part of the above activities
    • Potential for integration of imaging data as the Haibe-Kains gets involved in the field Radiomics
    • Writing and contributing to research articles, and communicating results to the research community
    • Facilitate other projects in the Haibe-Kains lab that require expertise in software development
    Reports to: Benjamin Haibe-Kains

    REQUIREMENTS

    • At minimum, a completion of a Master's degree program, or recognized equivalent in biomedical research, preferably with focus in computer sciences
    • Proven development experience with relational databases (e.g., MySQL) and familiarity with the fundamental principles of data modelling and management
    • High proficiency in multiple computer systems for database development, coding, statistics, visual design, etc.
    • Skills in R and R package development
    • Proficiency in Java and web technologies, including CSS and JavaScript
    • Practical experience of Agile and test-driven approaches to development
    • Experience with version control tools (e.g. git), and issue tracking tools (e.g. JIRA)
    • Experience in some or all of the following fields: clinical genomics, knowledge-based systems, web and information science, and oncology
    • Excellent written and verbal communication skills, excellent organization, prioritization skills, computer skills, ability to learn quickly and work independently
    • Ability to work under pressure and with attention to detail

    LOCALE

    Site: Princess Margaret Cancer Centre
    Department: Research

    TERMS

    Status: Full-Time Permanent
    Hours: 35hrs/week; 9:00am to 5:00pm; Monday to Friday

    ABOUT US

    The Haibe-Kains Lab:
    Our research focuses on the development of novel computational approaches to best characterize carcinogenesis, drugs' mechanisms of action and their therapeutic potential, from high-throughput genomic data. We have strong expertise in machine learning applied to biomedical problems, including the development of robust prognostic and predictive biomarkers in cancer. Our large network of national and international collaborators, including clinicians, molecular biologists, engineers, statisticians and bioinformaticians, uniquely positions us to perform cutting-edge translational research to bring discoveries from bench to bedside. See our lab website for further information: www.pmgenomics.ca/bhklab/

    Lab director: Dr. Benjamin Haibe-Kains, has over 10 years of experience in computational analysis of genomic data, including genomic and transcriptomic data. He is the (co-)author of more than 95 peer-reviewed articles in top bioinformatics and clinical journals. For an exhaustive list of publications, go to Dr. Haibe-Kains' Google Scholar Profile.

    HOW TO APPLY

    Apply via the UHN Recruiting Website, Job Posting #793967

    www.recruitingsite.com/csbs[...]93967

    Posted Date: November 24, 2016 Closing Date: December 8, 2016

    For current UHN employees, only those who have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, and possess all the required experience and qualifications should apply.

    University Health Network thanks all applicants, however, only those selected for an interview will be contacted.

    POLICY

    UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process providing the applicant has met the Bona-fide requirements for the open position. Applicants need to make their requirements known when contacted.

    BACKGROUND

    Science for Life Laboratory (SciLifeLab, www.scilifelab.se) in Sweden serves as a national infrastructure to support advanced high-throughput life science research. SciLifeLab is based in Stockholm and Uppsala, but also has satellite nodes at universities across Sweden, and is currently one of the fastest-growing life science research establishments in Europe.

    The bioinformatics platform at SciLifeLab (www.nbis.se) is a large national infrastructure in rapid development providing support, tools and training to the Swedish life science research community. We are now looking for 1-2 staff scientists to join the Bioinformatics Long-term Support team (a.k.a. WABI), which currently comprises 24 senior bioinformaticians located at SciLifeLab nodes across Sweden. The new positions will be placed at SciLifeLab Stockholm, located at the research campus of Karolinska Institutet in northern Stockholm.

    The Bioinformatics Long-term Support team provides advanced bioinformatics analyses to some of the most scientifically exciting projects across Sweden. Launched in the beginning of 2013, the team now constitutes one of the strongest units in Sweden for analysis of large-scale genomics and related "omics" data. Examples of supported scientific areas range from complex diseases to evolutionary and environmental research.

    RESPONSIBILITIES

    The bioinformatics scientist will:
    • Carry out advanced bioinformatics analyses within nationally prioritized projects
    • Develop tools and workflows for such analyses
    • Educate other scientists in bioinformatics through collaboration within supported projects, teaching at national courses and networking
    • Take part in the continuous development and improvement of the bioinformatics platform at a national level

    REQUIREMENTS

    The successful candidate should have a PhD or similar relevant working experience from advanced studies within bioinformatics, in academia or industry. We are looking for candidates experienced in advanced analyses in areas such as:
    • Single-cell transcriptomics
    • Large-scale studies of genetic variation
    • Metagenomics
    • Epigenetics
    • Integrative bioinformatics
    Strong skills in experimental design and software development are also beneficial. "Reproducible research" and "FAIR data" are central concepts to us. You must have fluent oral and written communication skills in English, as well as strong skills in cooperation and communication. Postdoctoral studies are a strong merit but not a requirement.

    TERMS

    Full-time employment for a maximum of two years initially, with the possibility of extension.

    LOCALE

    Stockholm, Sweden

    HOW TO APPLY

    For further information or to apply, please visit: www.su.se/engl[...]ng=UK

    DEADLINE

    December 14, 2017

    POLICY

    Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.

    BACKGROUND

    As part of a £8 million award from the MRC, industry and University of Birmingham, we have established a state-of- the-art metabolic phenotyping (metabolomics) facility to conduct medical research including the development of stratified medicine approaches. Phenome Centre Birmingham (PCB), which was formally opened on 23 May 2016 by the UK Government's Chief Scientific Advisor Sir Mark Walport (www.birmingham.ac.uk/news[...].aspx), is applying eleven new liquid chromatography-mass spectrometers (LC-MS), two new Bruker 600 MHz NMR spectrometers, liquid handling robots and high specification computational infrastructure to better understand metabolic perturbations in human health, disease and ageing. The facility is anticipated to conduct tens of thousands of analyses of human samples per year, creating genuinely "Big Data", with extensive clinical metadata. It is based alongside one of the largest hospitals in Europe, the Queen Elizabeth Hospital at Birmingham, and the new £24 million Institute of Translational Medicine. In addition, the PCB will interact closely with the MRC-NIHR National Phenome Centre in London and the new international network of Phenome Centres to enhance metabolic phenotyping in the UK and globally.

    RESPONSIBILITIES & REQUIREMENTS

    We seek a highly motivated bioinformatician to join the 10-person PC-B team and contribute to fulfilling the research objectives of this centre with a focus on developing, implementing and applying bio- and chemo-informatics tools for the integration and analysis of clinical metadata and NMR spectroscopy metabolic phenotyping data; tools for metabolite identification; and/or statistical bioinformatics. This will include implementing automated data processing pipelines, contributing to experimental design, undertaking statistical and computational analyses, and interpretation of large scale metabolomics datasets. Further opportunities include collaborating with clinical scientists and contributing to training courses in the Birmingham Metabolomics Training Centre (www.birmingham.ac.uk/bmtc).

    Applicants should hold a PhD (awarded) in computational metabolomics, chemoinformatics, bioinformatics, biostatistics or a closely related area, with experience and demonstrated success of working independently and as part of a large team in a bioanalytical or academic research facility in industry or academia as well as having a growing national reputation in metabolomics and/or bioinformatics/biostatistics.

    TERMS

    The post is available in the first instance for 3 years with the expectation for significant extension subject to the success of Phenome Centre Birmingham.

    LOCALE

    Birmingham, United Kingdom

    HOW TO APPLY

    Informal enquiries can be addressed to Professor Mark Viant (tel: +44 (0)121 414 2219 or email: M.Viant[at]bham.ac.uk) or Dr Warwick Dunn (tel: +44 (0)121 414 5458 or email: W.Dunn[at]bham.ac.uk).

    For further information or to apply visit [Job ID Number - 51678]: www.hr.bham.ac.uk/jobs

    DEADLINE

    3rd January 2017

    BACKGROUND

    The Institute for Collaborative Biotechnologies (ICB) is an Army-sponsored University Affiliated Research Center (UARC). The ICB is a uniquely interdisciplinary research alliance led by the University of California, Santa Barbara, in collaboration with the Massachusetts Institute of Technology, the California Institute of Technology and partners from the Army and industry.

    ICB research is driven by more than 50 premier faculty working together with graduate students project scientist, specialists, and professional researchers as interdisciplinary teams of biologists, chemists, physicists, psychologists, physicians, social scientists, and engineers. These teams develop biologically inspired, revolutionary technological innovations in systems and synthetic biology, materials science and engineering, biotechnology tools and cognitive neuroscience.

    RESPONSIBILITIES

    The ICB is actively seeking a Postdoctoral Scholar to conduct research on bioinformatics and synthetic biology projects, primarily focused on studies of the microbiome and bacteriophages, under the mentorship of Dr. Irene Chen.

    Postdoctoral Scholar appointments are intended to provide a full-time training program of advanced academic preparation and research training under the mentorship of a faculty member.

    The appointee will engage in one or more of the following: analysis of sequencing data from complex microbial systems, including analysis of the phage fraction, bioconjugation of phages and phage proteins to report nanostructures and molecules, phage display selection, and interdisciplinary research.

    The postdoctoral scholar will assist with mentoring graduate students, junior researchers, and undergraduate students who will also work on the project.

    REQUIREMENTS

    Appointees to this series must possess a doctorate or its equivalent at the time of initial appointment, and PhD must be conferred within the last 5 years. Additional qualifications include" PhD with emphasis in Biophysics, Biomolecular Science and Engineering, Biochemistry, Chemical Engineering, Chemistry, and or related research, and previous research experience in applicable or relevant field.

    TERMS

    Initial appointment will be made for one year. Reappointments are made based on continuation of funding and performance.

    HOW TO APPLY

    Application URL: recruit.ap.ucsb.edu/apply/JPF00901

    DEADLINE

    The committee will begin reviewing applications by 12/3/16, following the initial application deadline of 12/2/16. Applications received after this date will be reviewed every 2 to 3 weeks. Recruitment for this position will end on 1/13/17. We anticipate the position to begin on 1/26/17 or later.

    POLICY

    Equal Opportunity:
    The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

    The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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