6:58 AM
About Novartis Institute for Biomedical Research:


The Novartis Institutes for BioMedical Research is the global pharmaceutical research organization for Novartis. The NIBR research network is comprised of more than 6,000 scientists, physicians, and business professionals working together across 10 locations around the world to discover innovative medicines that treat diseases with high unmet medical need. Novartis employs more than 2,000 associates in Cambridge, making it the city’s largest private employer and ideally situated in one of the leading life science communities in the world.
NIBR conducts research globally with sites in Emeryville, California; Cambridge, MA; East Hanover, NJ; Basel, Switzerland; Horsham, UK; and Shanghai, China.

About the Next Generation Sequencing Group
The ability to sequence each patient’s genome in great detail, quickly and inexpensively, is changing the practice of medicine. At NIBR, we are dedicated to the development of therapies that improve clinical outcomes for patients. Next generation sequencing and other cutting-edge molecular characterization technologies will be important tools for discovering breakthrough therapeutics, and for delivering the right medicines to the right patients.
NIBR is launching a new Next Generation Diagnostics (NGDx) group at our global headquarters in Cambridge, MA.  The NGDx team will leverage cutting-edge technologies such as next generation sequencing for characterizing human tissues, by individual lesions and by pathway signatures relevant to therapeutic response.  The goal is to develop a robust and comprehensive molecular profile for each patient. To this end, the group will begin by developing capabilities to characterize therapeutically relevant genetic lesions and pathway signatures in human cancer.
Opportunities exist for genomics scientists, computational biologists, bioinformatics scientists, software and systems engineers, assay development scientists, histopathologists, sample technicians, and biochemists.
Bioinformatics Description:
We are seeking highly motivated bioinformatics scientists at varying levels to join the Novartis Next Generation Sequencing Diagnostics Team.  The successful candidates must be self-directed and highly collaborative, and will:
·         Build and support cutting-edge pipelines for the analysis and interpretation of next-generation sequencing data
·         Analyze large-scale genomic (expression, copy number, mutation, epigenetic) datasets acquired internally and in collaboration with academic and industrial research institutes
·         Participate in a rigorous technical development process for genomics platforms, including next-generation sequencing platforms
·         Implement state-of-the-art computational methods, and develop innovative methods, toward the development of rigorous diagnostic tests
·         Maintain expertise in the science and application of genomic technologies
Qualifications:
To qualify, candidates must have:

·         Minimum MS 7+ years’ experience, or PhD 2+ years’ experience working in a bioinformatics research environment
·         Strong communication skills and a successful track record of collaborating with cross-functional scientific teams
·         Facility with current analysis methods for next-generation sequencing data, and the application of open-source tools such as BWA, GATK, TopHat and CuffLinks
·         Experience running large-scale pipelines or simulations in a High Performance Computing environment
·         Expertise in machine learning algorithms and their application to biological problems is preferred
·         Demonstrated statistical and analytical ability with programming expertise in R, Matlab, or similar
·         Demonstrated bioinformatics scripting abilities in languages such as Perl or Python
·        Programming experience in Java/C/C++ is a plus
d       For more information
                                       click here


 
 

5:46 AM
Please contact li...@tansoncorp.com for more info.

Job Title:Bioinformatics specialist
Location :Rochester MN
Job Duration:1 Year(contract)
Pay Range:Negotiable

Job Description:

· Develops software and infrastructure for supporting nextgen sequencing analysis under the supervision of an Informatics Lead or designated senior level Informatics Specialists.
· Develops scripts or software applications to support data management, data extraction, data integration and data analysis as required.
· Should be knowledgeable in the handling and in the design of repository systems to contribute to the development of internal databases.
· Will have basic expertise in the informatics methods used to analyze data.
· Contributes to the design of analytical procedures and executes analytical procedures in the framework of a specific project. Contributes to the interpretation of data analysis and to writing reports.
· The candidate must have 2-5 yrs of experiences building applications\implementing analytical algorithms.
· Exp. in Java, C++, PERL,Python, UNIX Shell, groovy or other scripting languages.  
· Excellent communication skills required.


Highly Required/Desired Skills:-

*2 Years of experience in Unix and Unix Shell is Required
*1 Years of experience in Bioinformatics/Computer Science Degree (MS, PhD) is Required
*2 Years of experience in Java Highly desired is Required
*2 Years of experience in Perl\Python is Required 
*2 Years of experience in Other Scripting Languauges Highly desired is Required 
*1 Years of experience in Workflow Tools (ex Galaxy) Highly desired is Required  
*6 Years of experience in Next Generation Sequencing Experience Highly desired is Required  
Excellent Communications (Written and Verbal) Required  
   
  
Please complete the following and send back with your updated resume.
Full Name:
Hourly rate:
Day Phone #:
Evening Phone #:
Cell Phone #:
Availability:
Current City/State:
Work Status (US Citizen / Green Card / Others):
Tanson is EOE/AA

Tanson Corp. is a Minnesota based Technology Company offering competitive services in IT consulting and staff augmentation,
providing technology staffing, consulting, and project-based services in onsite, offsite and offshore environments. To view
all our positions take a look at "Careers" at http://www.tansoncorp.com/

Follow us:
www.facebook.com/TansonCorp
twitter.com/#!/tansoncorp
www.linkedin.com/company/tanson-corp

4:50 AM


A 2 year postdoctoral research position in bioinformatics/metagenomics
is immediately available at The Brinkman Laboratory at Simon Fraser
University (Greater Vancouver, B.C., Canada). The successful applicant
will join a dynamic, national group of interdisciplinary researchers aiming
to use metagenomics to identify improved markers of clean water that
improves upon the inaccurate fecal coliform test
(http://www.watersheddiscovery.ca/). Our goal is to change
the way we monitor water quality – identifying problems at the source
rather than at the tap. Metagenomics is being used in the project to
study how watershed microbiomes change over space and time in
human-impacted, agriculturally-impacted, and pristine watersheds.
Novel indicators of water pollution, and markers for attribution
of the source of pollution, will be identified through this large
Genome Canada-funded project.
The qualified applicant will have a Ph.D. in a relevant biological/
microbiological/bioinformatics discipline, plus demonstrated
experience in bioinformatics and/or metagenomics research.
The applicant will play a major role in prioritizing biomarkers
from the metagenomics data and will have the opportunity to
work with an exceptional, team-based group of interdisciplinary
researchers located at the BC Centre for Disease Control and
across Canada.
Salary is based on experience and is competitive. If you are interested
in this position, please forward a copy of your C.V./resume,
start date(s) you’d prefer, and contact information for two references,
to the following email address. Please also use this
email address to make any inquiries about this position:

4:25 AM

The Brinkman Laboratory at Simon Fraser University (Greater
Vancouver, B.C., Canada) has an opening for a database developer
position as part of an internationally collaborative project involving
researchers from SFU, the University of British Columbia and Teagasc,
Ireland. This person will take a lead role in the continued development
of InnateDB 
Breuer et al Nucl. Acids Res. 2013), an IMEx-member database and
analysis platform facilitating systems-level analyzes of the immune
response and the entire mammalian interactome. This work will be
coupled with development of a new Allergy and Asthma Portal that
capitalizes on, and significantly expands upon, this resource.
The successful candidate will work as part of an interdisciplinary team
of software/database developers, bioinformaticians, data curators and
biologists, including our national and international collaborators. Tasks
will include maintenance of the existing database, updating data from
external databases, improving the user interface and the development
and implementation of novel analysis and visualization tools including
software for network-based analyzes.
The qualified applicant will have Bachelor’s degree in the computer
sciences. Biology/Bioinformatics experience is preferred but not
essential. The applicant should have strong knowledge of Linux/Unix,
Perl, MySQL. Experience with Java and Struts/JSP would be highly
desirable. Experience with PHP, Javascript or CSS would be an asset.
Previous experience in web/database development would also be highly
desirable or a demonstrated ability to learn quickly based on other
equivalent skills.
Salary is based on experience and is competitive. Please quote “position
AA2013-4D” in the subject line of your email if you are interested in
this position and email your resume to: brinkman-jobs@sfu.ca
We thank all applicants and regret that only those selected for an
interview may be contacted further.



1:47 AM

Description:
  • Develop data models and databases
  • Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases
  • Create novel computational approaches and analytical tools as required by research goals
  • Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies
  • Develop new software applications or customize existing applications to meet specific scientific project needs
  • Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms
Skills:
  • Understanding the implications of new information for both current and future problem-solving and decision-making
  • Identifying the underlying principles, reasons, or facts of information by breaking down information or data into separate parts
  • Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions
  • Keeping up-to-date technically and applying new knowledge to your job
  • Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems
  • Translating or explaining what information means and how it can be used
Our service for you:
For you as a candidate our Service is for free. The employer has instructed us to take an individual pre-selection of suitable candidates. Therefore, you cannot contact the employer yourself. It is the desire of the employer that we will check your details and CV. 

For more information click here

1:41 AM
Job Title: Postdoctoral Scientist, Bioinformatics Analyst
Description: Working as a part of research consortium with leading academic institutions, you will help design experiments, manage and analyze large microarray, mass spectrometry, and NGS datasets collected as part of a collaborative toxicology initiative.

Key responsibilities include

• Conduct statistical analysis of the transcriptomics, metabolomics, NGS and pathway data.
• Work with Agilent scientists and consortium partners to coordinate interpretation of the analysis results.
• Develop bioinformatics pipelines for analyzing transcriptomics, NGS and metabolomics data, both independently and in conjunction with each other. Assist with implementation in production environment.
• Implement the pipelines in a production environment.
• Apply analytical techniques to identify pathways which are involved in organism’s response to known toxicants
• Collaborate with computational and system biologists to develop novel network analysis algorithms for toxicology
• Present analysis results to members of the consortium via in-person and written communications.
Qualifications: • PhD in computer science, statistics, bioinformatics, computer science or equivalent discipline
• Experience with application of common statistical methods to either microarray, mass spectrometry, or NGS data, including knowledge of common bioinformatics databases and tools
• In-depth knowledge of biological pathway analyses and content source
• Extensive experience with analysis and algorithm development on large data sets; 3+ years hands-on bioinformatics experience
• Knowledge of R/Bioconductor, Python, or Java required
• excellent communication skills
• strong analytical skills
• Toxicology background preferred but not required
Business: Life Sciences Group
Job Category: Marketing
Job Sub-Category: Application Dev Engineer/Scientist
Region: Americas
Country or Area: United States
State/Province: Alabama
Arizona
California
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
New Jersey
New Mexico
New York
North Carolina
Ohio
Oregon
Pennsylvania
Puerto Rico
Rhode Island
South Carolina
Tennessee
Texas
Utah
Vermont
Virginia
Washington
Wisconsin
Town/City: Huntsville
Chandler
Tempe
Anaheim
El Segundo
Folsom
Garden Grove
La Jolla
Lake Forest
Menlo Park
Palo Alto
Pleasanton
Redwood City
Rohnert Park
Roseville
San Diego
San Francisco
San Jose
Santa Barbara
Santa Clara
Santa Rosa
Walnut Creek
Westlake Village
Boulder
Colorado Springs
Englewood
Fort Collins
Loveland
Danbury
Rocky Hill
New Castle
Newport
Wilmington
Washington
Ft. Lauderdale
Melbourne
Miami
Orlando
Port Richey
Tampa
Alpharetta
Honolulu
Boise
Chicago
Schaumburg
Wood Dale
Indianapolis
Cedar Rapids
Overland Park
Danville
Louisville
Baton Rouge
Kenner
Baltimore
Columbia
Germantown
Andover
Beverly
Lexington
Northampton
Wakefield
Livonia
Wixom
Edina
Minneapolis
Jackson
Columbia
Kansas City
St. Louis
Budd Lake
Florham Park
Paramus
South Plainfield
Albuquerque
Fishkill
Melville
New York City
Pittsford
Cary
Durham
Greensboro
Centerville
Mentor
Corvallis
Tigard
Bethlehem
King of Prussia
Wexford
San Juan
Providence
Wakefield
Warwick
Columbia
Nashville
Oakridge
Austin
Cedar Creek
Dallas
El Paso
Houston
Lumberton
Richardson
Stafford
Lehi
Williston
Blacksburg
Manassas
Bellevue
Everett
Liberty Lake
Redmond
Seattle
Spokane
Burlington
Madison
West Allis
Shift: Day Job
Job Type: Experienced
Schedule: Full-time
Travel Required: Occasional
Duration
(Temp Positions Only): 		Not applicable

11:26 AM
Position: Postdoctoral Fellow to study the Intestinal Microbiota from C. Difficle
Area: Clostridium Difficile (host-pathogen interactions – cause of antibiotic-associated diarrhoea)
Location: Cambridgeshire
Purpose:
1.Advanced Genomic Techniques and Analysis
2.Anaerobic culturing of Fastidious Organisms from Faecal samples
3.To identify signatures of C. Difficile susceptibility in humans.
MANAGE: large scale genome sequence datasets and perform analysis on datasets generated by NGS
My Client: My client is a leading Scientific research based company who for over 20 years have been involved in some of the most advanced biological discoveries. The role is based out of their offices in Cambridgeshire.
Knowledge & Experience:

PhD: Microbiology, Edpidemiology, Population Genetics, Molecular Evolution, Bioinformatics
Strong background: Bioinformatics and Microbiology
Interest: Learning about Host-pathogen interactions and host-associated microbial communities during health and disease.
Ability in: C, C++, Perl, Python, Java programming
Develop software and new methods to analyse sequence dataIntegrate sequence data with biological experiments and phenotypic data.
Yearn to learn, and to move out of comfort zone.
Solid / Strong publication record peer reviewed
Pressure and deadlines
Initiative and Innovation
Degree in biochemistry or genetics
Leading Projects and Team Management & Training others
Next Generation Sequencing / Large Datasets is a BONUS
Communication and ability to talk to range of collaborators

Salary Range dependent on Experience: £28848 - £38980
Closing Date: Wedsnesday 6th March
To discuss this role in more detail please contact Tom Kenwright on 0161 923 8185

11:14 AM
At Roche, 80,000 people across 150 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.


The headquarters in Basel is one of Roche's largest sites, over 8,000 people from approximately 80 countries work at Roche Basel. Favored by its geographic location in the heart of Europe, the Basel area is one of the most dynamic economic regions in Switzerland — a great place to live and work.
The Discovery Virology department within Roche Pharma Research & Early Development is looking for a highly motivated, interactive, and creative scientist at the PhD level to support a variety of research and clinical projects in the infectious disease area.

  • The scientist will be responsible for providing virology input into clinical and preclinical study protocols, analysis of virology and resistance data, coordinating, designing new bioinformatics methods and tools to analyze DNA sequences derived from preclinical as well as from clinical samples from our programs in development.
  • The aim is to characterize mechanisms of reduced susceptibility to antivirals (e.g. for HCV, Influenza, HBV, HPV or RSV), in preclinical and/or clinical studies. The study of virus-host interactions at the biologic and genetic level will also be an area of responsibility for this position.
  • A strong background in cell biology, statistics (graduate level work) and computation are essential.
  • Excellent publications, or equivalent industry experience are essential.
  • A good working knowledge of cell biology, bioinformatics, biological and molecular concepts will be needed
  • Workplace could be Shanghai or Basel.

You're someone who wants to influence your own development. You're looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.
  • The candidate will have experience with a broad range of contemporary statistical methods for classification and prediction, e.g., linear models, machine learning, and other multivariate analysis methods.
  • Proven experience in the analysis of infectious disease drug candidates with respect to efficacy and resistance.
  • Excellent organizational, problem-solving, verbal/written communication, and bioinformatic skills.
  • Flexibility and interest in learning new techniques and skills in accordance with evolving research program needs.
  • Ability and desire to work both independently and collaboratively in a dynamic, innovative, and interdependent, matrix research environment
  • Perform bioinformatics analyses (sequence-, host markers expression-, pathway analyses, etc.) with focus on virology and host markers of antiviral response
  • PhD degree and postdoctoral experiences with 3-5 or more years of full time experience in an academic or biotechnology industry laboratory
  • Fluency in English.
The next step is yours. To apply today, click on the "Apply online" button below.
Roche is an Equal Opportunity Employer



Image:Apply Online

10:26 AM
Francis Crick, who is pictured here on April 23, 1993 explaining his work discovering the molecular structure of DNA (AFP)
The Nobel prize awarded to Francis Crick in 1962 for discovering the structure of DNA has been put up for auction by his family along with one of his lab coats, his books and other memorabilia.
It is believed to be the first Nobel prize placed at auction in more than 70 years and the opening bid is set for $250,000, Heritage Auctions said Monday.
Some of the proceeds from the April 10 auction in New York will help fund research at the new Francis Crick Institute in London set to be completed in 2015.
His family said Crick was a modest man who preferred to outfit his office with a big chalkboard and a portrait of Charles Darwin than to display his many awards.
The Nobel has been in storage for much of the past 50 years and his family hopes to sell it to a museum or institute where it can be on public display.
“Our hope is that, by having it available for display, it can be an inspiration to the next generation of scientists,” said granddaughter Kindra Crick.
Born in England in 1918, Crick’s graduate work was interrupted by the outbreak of World War II. He returned to research in 1949 with a position at Cambridge University.
A critical influence in his career was his friendship with the American zoologist and geneticist James Watson.
Together, they proposed the double-helical structure for DNA and the replication scheme in 1953. Crick and Watson subsequently suggested a general theory for the structure of small viruses.
Crick’s children have fond memories of the ceremony in Stockholm where the King of Sweden gave him the award, along with Watson and Maurice Wilkins, who also contributed to the discovery.
“It was a great honor to be there,” said son Michael Crick, who is also a scientist.
“My Dad dressed for the occasion, gave a speech and danced with my sister Gabrielle.”
His father then went right back to work.
“He was a very focused scientist and after DNA he went on to work on the mechanism of protein synthesis, deciphering the three-letter nature of the genetic code and determining the origins of life on earth,” Crick said.
“He was a driven scientist his whole life. At 60, he turned his attention to theoretical neurobiology and for the next 28 years helped advance the study of human consciousness.”
Crick’s initials are engraved on the back of medal, along with the date of the award in Roman numerals. The two-page Nobel diploma is included with the medal.
His endorsed check for nearly 86,000 kroners is also up for auction, along with nautical logbooks and gardening journals.

9:31 AM

Senior Researcher Position in Bioinformatics and Systems Biology based at CNRS-EISBM in Lyon in relation with the IMI eTRIKS Consortium on Information and Knowledge Management Services

We are seeking an experienced individual to lead the Biomedical Personal Data Protection & Ethics activities of the newly formed eTRIKS Consortium, funded by the Innovative Medicines Initiative (IMI) of the European Commission 7th Framework Programme and the European Federation of Pharmaceutical Industries and Associations.
Scientific Project: The eTRIKS Consortium is dedicated to delivering European Translational Information and Knowledge Management Services initially for all IMI projects, then for other European translational research projects. These projects encompass translational bioinformatics, clinical research informatics, health/clinical informatics and the development of new analytical tools. They use tranSMART as part of the software knowledge management platform: http://www.etriks.org; http://www.transmartproject.org
Job context: She/he will be working closely with academic partners at Imperial College in London and the Luxembourg Center for Systems Biomedicine, and the academic and pharmaceutical partners of eTRIKS. The selected candidate will be based in Lyon-Gerland within the CNRS-EISBM team led by Charles Auffray, hosted by Claude Bernard University and the Lyonbiopole competitive cluster on the Charles Mérieux campus: http://www.eisbm.org; http://workshop.eisbm.org
Job description: The ideal candidate should be able to proactively lead the development and implementation of complex workstreams based on data analysis and modeling methods, and engage multiple academic and industrial partners in a pre-competitive collaborative innovation effort, based on the specific needs of eTRIKS project partners. The objective is to reach international harmonization of the use of analytical and modeling methods in the context of the fast evolving area of translational research and systems medicine.
In particular the candidate is expected :
  1. to contribute to enhancement of the underlying tranSMART system with required analytical functions for analysis and integration of clinical and omics data;
  2. to develop advanced analytical methods and workflows (e.g. power calculation in clinical study design), and novel approaches for disease and target specific knowledge enrichment (e.g. pathways/disease network models);
  3. to outreach to network disease modelling communities (e.g. Sage Bionetworks, openBEL, Garuda);
  4. to provide scientific support for eTRIKS users on the use of analytics features of the system through training materials and reusable workflows.
Required Experience/Skills: Candidates should have a proven track record of research, management and implementation of the ethical and legal (i.e. personal data protection) frameworks of biomedical research and their interaction with information and communication technology. The required proven skills and experience include:
  • PhD or MS/Engineering degree in biomedical and/or computational research
  • Significant experience in academic or industrial biomedical research
  • Statistical programming languages such as R, Matlab, Perl, Python, C
  • Working in a UNIX/Linux HPC environment with relational databases
  • Omics data analysis using ontologies and controlled vocabularies
  • Experience in integration of heterogeneous high-dimensional data types
  • Knowledge in network inference, analysis and modeling
  • Development of data analysis workflows and supporting software
  • Rigour, autonomy and excellent relational and teamwork skills
  • Proven distributed project management and communication skills in English
Contract Duration: Available immediately for two years with possible one-year extension.Salary: Depending on qualifications and experience, based on CNRS salary grid.
Application: Send CV, cover letter and names of two references to Charles Auffray
Email: jobs@eisbm.org


7:58 AM
The University of Manchester
Faculty of Life Sciences
Bioinformatics Research Associate in Eukaryotic Gene expression
(REF: LSX-02403)
£29,541 to £36,298 p.a.
You will join a laboratory that is part of an internationally recognised, high quality, multidisciplinary program that investigates several diverse aspects of eukaryotic gene expression and signalling. A number of projects in the lab will be supported which use ChIP-seq and RNA-seq technology to study how cellular signalling affects transcription factor function and chromatin structure on a genome-wide scale. Both yeast and mammalian cell systems are being used (for recent publications see; MCB, 2012, 32, 4651; PLoS Genetics, 2012, 8: e1002694). You will join a highly motivated research group working on the molecular mechanisms of eukaryotic transcription factor function.
You should ideally possess (or shortly expect to gain) a PhD and have postgraduate qualifications and experience in bioinformatics analysis, including UNIX programming and database management. A desire to work on cutting edge aspects of gene regulation is essential.
Informal enquiries are encouraged and should be directed to Prof. Andy Sharrocks (a.d.sharrocks@manchester.ac.uk). For more information on the laboratory visit
http://www.ls.manchester.ac.uk/research/researchgroups/molecularcancer/people/?alias=sharrocksa.
Closing Date: 24th March.
Application forms and further particulars can be obtained at http://www.manchester.ac.uk/aboutus/jobs/
The University will actively foster a culture of inclusion and diversity and will seek to achieve true equality of opportunity for all members of its community

4:57 AM
 

for more inforamtion
JOB TITLE: Bioinformatics/Computational Biology Post-Doctoral Position, British Columbia Cancer Agency POSITION REPORTS TO: Principal Investigator JOB NUMBER: 2013PS01
If interested, please send a CV and cover letter to CareersMolOnc [at] bccrc [dot] ca, and quote job number 2013PS01 in the subject line.
A post-doctoral position is available for a highly motivated bioinformatics expert to join our expanding translational cancer research group engaged in childhood cancer research. The position will be co-supervised by Dr. Poul Sorensen, Department of Molecular Oncology, BC Cancer Research Centre, and Dr. Ryan Morin, Genome Sciences Centre of the BC Cancer Agency. The research group is dedicated to uncovering the molecular basis of childhood cancers, particularly solid tumors, and identifying new diagnostic and predictive markers and developing new tools for assessing these in such diseases. Responsibilities include analyzing diverse sets of high throughput genomic data sets derived from childhood tumours for correlation with morphologic and clinical features including outcome data, recurrence and metastasis. Many of these datasets are available from public resources and collaborative research projects. The candidate will also have access to large data sets produced in-house from multiple pediatric tumour types. Specifically, the candidate will lead projects aimed at characterizing these tumour genomes first from a computational perspective and subsequently to identify biomarkers for downstream functional validation. The candidate will perform algorithmic and statistical analyses on whole genome and transcriptome shotgun sequencing (RNA-seq) data from the Illumina HiSeq platform and infer mutational profiles to uncover etiological and evolutionary processes governing tumor biology, and potential targets for therapeutic intervention.
A Ph.D. degree in Bioinformatics, Biostatistics, Computer Sciences or a related field, and working experience with Unix/Linux, programming/scripting, R and SQL/relational databases as well as familiarity with next generation sequencing analysis tools are required. Familiarity with human genome databases such as Ensembl, the UCSC genome browser, and NCBI is essential. Direct experience using parallel/high-performance computing environments and bioinformatics resources such as Bioconductor, the Ensembl API, BioPerl/BioPython/BioJava and Galaxy are assets. It is highly preferred that the candidate will have an in-depth working knowledge of cancer biology and genetics. Excellent written and verbal communication skills, time management, and the ability to multi-task with attention-to-detail are required. The successful candidate must work well independently and in a team setting. The successful candidate will take a leadership role, and collaborate in, the writing of manuscripts for publication and grant proposals.
All qualified candidates are encouraged to apply and should submit a curriculum vitae AND the names and contact information for three referees by e-mail to The Department of Molecular Oncology, The B.C Cancer Agency, Vancouver, B.C. Canada.  E-mail: CareersMolOnc@bccrc.ca. Please quote job number 2013PS01 in the subject line. For further information please visit http://molonc.bccrc.ca/
The BC Cancer Agency (BCCA) is committed to reducing the incidence of cancer, reducing the mortality from cancer, and improving the quality of life of those living with cancer. It provides a comprehensive cancer control program for the people of British Columbia by working with community partners to deliver a range of cancer services, including prevention, early detection, diagnosis and treatment, research, education, supportive care, rehabilitation and palliative care. It operates five regional cancer centres in the Fraser Valley, Kelowna, Vancouver and Vancouver Island, and Abbotsford, with a sixth centre scheduled to open in Prince George in 2012. The BC Cancer Research Centre conducts research into the causes and cures for cancer.
BCCA is an agency of the Provincial Health Services Authority (PHSA) which plans, manages and evaluates specialty and province-wide health care services across BC. PHSA embodies values that reflect a commitment to excellence. These include: Patients first • Best value • Results matter • Improvements through knowledge • Open to possibilities.
The PHSA is committed to employment equity and hires on the basis of merit. We encourage applications from all qualified individuals, including women, Aboriginal peoples, persons with disabilities and members of visible minorities.

4:46 AM
We are announcing the organization of the international workshop on Virus Evolution and Molecular Epidemiology (VEME) in 2013, hosted by the Emerging Pathogens Institute in the warm city of Gainsville and sponsored by several local partners.
We plan to organize a 'Phylogenetic Inference' module, which is coordinated by Dr. Tulio de Oliveira, Wellcome Trust Africa Centre/UKZN, that offers the theoretical background and hands-on experience in phylogenetic analysis for those who have little or no prior expertise in sequence analysis.
An 'Evolutionary Hypothesis Testing', coordinated by Dr. Philippe Lemey, Leuven Catholic University, is targeted to participants who are well familiar with alignments and phylogenetic trees, and would like to extend their expertise to likelihood and Bayesian inference in phylogenetics, coalescent and phylogeographic analyses ('phylodynamics') and molecular adaptation.
A 'Large Dataset Analysis' module will cover the more complex analysis of full genomes, huge datasets of pathogens including Next Generation Sequencing data, and combined analyses of pathogen and host.
Practical sessions in these modules will involve software like, PHYLIP, PAUP*, PHYML, MEGA, PAML or HYPHY, TREE-PUZZLE, SplitsTree, BEAST, MrBayes Simplot and RDP3.
We recommend participants to buy The Phylogenetic Handbook as a guide during the workshop, and to bring their own data set.
For further information and applications we refer to a dedicated website that will be announced here soon. Abstract and application deadline is April 14th.
Selections will be made by end of May 2013.
The registration fee of 1000 USD covers attendance, lunches and coffee breaks.
Participation is limited to 25 scientists in each module and is dependent on a selection procedure based on the submitted abstract and statement of motivation.
A limited number of grants are available for scientists who experience difficulties to attend because of financial reasons.
Organizers of the workshop are: Prof. Marco Salemi and Prof. Anne-Mieke Vandamme
Links:

9:53 PM
Key Dates
Release Date:    February 20, 2013 Response Date: March 15, 2013
Issued by
National Institutes of Health (NIH)
Purpose
The National Institutes of Health is launching Big Data to Knowledge (BD2K), an initiative to address how best to manage and utilize the large amounts of biomedical data that new technologies can generate (http://www.nih.gov/news/health/dec2012/od-07.htm). This initiative resulted from a set of recommendations from the Data and Informatics Working Group to the Advisory Committee to the Director, NIH (Data and Informatics Working Group).  As part of the its response to the recommendations, NIH has established a working group to develop plans to implement new programs to increase training in this area, and this working group intends to convene a workshop to discuss training and education needs in how to manage and utilize large complex data sets.  Prior to the workshop, NIH wishes to collect information and relevant materials that will help inform the discussions of the workshop participants.
Background
The era of ‘Big Data’ has arrived for biomedical research, bringing with it immense challenges as well as spectacular opportunities. In this context, ‘Big Data’ is meant to reflect the challenges facing biomedical researchers of all stripes in accessing, organizing, analyzing, and integrating datasets that are increasingly larger, more complex, and more numerous.  These data are also of diverse types that must be integrated, including imaging, phenotypic, molecular, exposure, health, and many other types of biomedical, behavioral and clinical data.  While used here for convenience, the phrase ‘Big Data’ is intended to be shorthand for the reality that biomedical research has become a data-intensive enterprise.
Advances in biomedical sciences using Big Data will require more scientists with appropriate expertise and skills, some of whom will be critical members of interdisciplinary teams.  NIH is interested in increasing funding for long- and short-term training at all professional levels, in areas essential for accessing, organizing, analyzing, and integrating biomedical Big Data (e.g., computational biology, biostatistics, bioinformatics, the quantitative sciences, and related areas).
Information Requested 
The workshop will address the long- and short-term training needs of professionals and trainees with the purposes of increasing the number of: (1) informaticians and computational and quantitative scientists who wish to apply their skills and knowledge in the biomedical, behavioral and clinical sciences and (2) biomedical, behavioral, and clinical scientists who have the requisite knowledge and skills to effectively access, organize, analyze, and integrate large and complex data sets.  To aid in planning this workshop, responses are being sought from the extramural community on the following:
Characteristics and Contents of Plans for Cross-Training Biomedical, Behavioral, Clinical, Computational, and Quantitative Scientists and Informaticians at All Career Levels:
  • Doctoral and postdoctoral training programs that will be needed to expand the capabilities of the targeted groups to use Big Data, with special attention to the training and mentoring environments.
  • Short-term training, including course content that will be needed to cross-train the targeted groups and undergraduates.
  • New curriculum and other training materials that will be needed to cross-train the targeted groups and undergraduates.
Evaluation of Workforce Skills and Knowledge
If you are a researcher, please describe your research area; the knowledge and skill set competencies of individuals you are recruiting or have recruited to handle large complex datasets; how long it took you to fill the position(s); and whether you have encountered difficulties in retaining these qualified individuals.
If you have hired recently trained graduates in the biomedical, behavioral, clinical, informatics, computational, or quantitative sciences, please describe the knowledge and skill sets they possessed or lacked - in handling large and complex datasets.
If you are a recent graduate employed in handling large datasets, please describe your scientific discipline; what courses, skills, and experiences prepared you for this job; and what courses, skills, and experiences you would have liked to have had to prepare you for this job.
Development of a Diverse Research Workforce
With respect to the above points, please provide information about important, additional programmatic enhancements that are needed to develop, foster, and maintain a diverse research workforce cross-trained in the areas specified in this RFI.  NIH is particularly interested in efforts to engage individuals from backgrounds underrepresented in biomedical, behavioral, clinical, informatics, computational, or quantitative sciences, including underrepresented racial and ethnic minorities, persons with disabilities, persons from disadvantaged backgrounds and women.
Submitting a Response
To aid in planning the workshop, NIH is seeking responses from the extramural community, including graduate students, postdoctoral fellows, scientists, clinicians, scientific societies, NIH grantee institutions, and industry. 
To respond to any of the points above or others deemed relevant to the development of new NIH training and education activities to address the Big Data challenge, please identify the critical issues(s) and provide your comments, recommended approaches or suggestions in bullet form.  Please limit your responses to two pages.  Responders are free to address any or all of the above items. All comments must be submitted electronically to: bd2k_training@mail.nih.gov . 
Responses to this RFI will be accepted through Friday, March 15, 2013. Responders will receive an electronic confirmation acknowledging receipt of a response, but will not receive individualized feedback on any submissions. No basis for claims against the U.S. Government shall arise as a result of a response to this request for information or from the Government’s use of such information.
Inquiries
Please direct all inquiries to:
Michelle Dunn, Ph.D.
Program Director
National Cancer Institute/NIH
Email: dunnm3@mail.nih.gov

9:51 PM
The New York Bioinformatics User Group (NYBUG) would like to invite you to a meeting entitled Variant Detection: From Analysis to Applicationon Friday March 22nd 2013 in New York City. The meeting is being hosted by the Simons Foundation and will take place in the Gerald D. Fischbach Auditorium (see below for details).
NYBUG provides a forum for discussing current research in the areas of Bioinformatics and Clinical Genomics, and this meeting aims to highlight the advances and challenges of identifying and analyzing sequence variation in the research and clinical settings.
The program will include four speakers:
* Mark A. DePristo
Co-director, Medical and Population Genetics at Broad Institute
* Daniel MacArthur
Assistant Professor at Harvard Medical School
* Mark Gerstein
Professor of Biomedical Informatics at Yale University
* Barry S. Taylor
Assistant Professor at UCSF
We will also have a presentation from the New York Genome Center.
The meeting will take place from 12:30 to 5:30 PM on Friday March 22nd at 
    Simons Foundation
    Gerald D. Fischbach Auditorium
    160 Fifth Ave., 2nd floor (entrance on 21st St.)
    New York, NY 10010
If you would like to attend please RSVP by March 4th to meetings@nybug.org
Subscribe to: Posts (Atom)

MARI themes

{facebook#YOUR_SOCIAL_PROFILE_URL} {twitter#YOUR_SOCIAL_PROFILE_URL} {google#YOUR_SOCIAL_PROFILE_URL} {pinterest#YOUR_SOCIAL_PROFILE_URL} {youtube#YOUR_SOCIAL_PROFILE_URL} {instagram#YOUR_SOCIAL_PROFILE_URL}
Powered by Blogger.