Microbial Genomes Curator @ Computercraft Corporation--Maryland (US)

Microbial Genomes Curator @ Computercraft Corporation--Maryland (US). Submitted by Computercraft Corporation; posted on Saturday, March 17, 2012

RESPONSIBILITIES:
Computercraft seeks a microbiologist to work with a team of software developers and biologists on microbial genome analysis including pan-genome, protein clusters, phylogenetic tree and more. This is a technically challenging position requiring experience in genome sequencing and annotation. A background in comparative genome analysis such as alignments and tree building is a plus.

Our scientists work with genomic experts at the NIH's National Center for Biotechnology Information (NCBI) to create and enhance a suite of databases and tools available to researchers worldwide. Teamwork interaction and excellent organizational skills are essential for this detail-oriented position, as is scientific problem-solving with a results-oriented focus.

REQUIREMENTS:
* PhD in molecular biology, microbiology, or related field
* Experience in genome sequencing and annotation
* Familiarity with BLAST, genome browser, and genome assembly data
* Excellent verbal and written communication skills as well as organizational skills
* Strong interest in contributing to the development of public database resources

PREFERENCES:
Other Desirable Skills:
* Programming experience with LINUX/UNIX
* Scripting experience in PERL or related scripting languages

COMPENSATION:
Computercraft offers a competitive salary and an excellent benefits package including PPO health insurance with 100% company paid premiums, 401K program with matching, paid time off and holiday pay, life insurance, flexible spending and disability coverage. We offer an excellent work life balance with a standard 40 hour work week and the chance to work alongside accomplished scientists at NIH/NCBI.

HOW TO APPLY:
To apply for this position or learn about other Computercraft job opportunities, please visit the Careers section of our website: http://www.computercraft-usa.com/

POLICY:
Computercraft is an equal opportunity employer.

TS-AMIR: A Topology String Alignment Method for Intensive Rapid Protein Structure Comparison

In structural biology, similarity analysis of protein structure is a crucial step in studying the relationship between proteins. Despite the considerable number of techniques that have been explored within the past two decades, the development of new alternative methods is still an active research area due to the need for high performance tools. Results: In this paper, we present TS-AMIR, a Topology String Alignment Method for Intensive Rapid comparison of protein structures. The proposed method works in two stages: In the first stage, the method generates a topology string based on the geometric details of secondary structure elements, and then, utilizes an n-gram modelling technique over entropy concept to capture similarities in these strings. This initial correspondence map between secondary structure elements is submitted to the second stage in order to obtain the alignment at the residue level. Applying the Kabsch method, a heuristic step-by-step algorithm is adopted in the second stage to align the residues, resulting in an optimal rotation matrix and minimized RMSD. The performance of the method was assessed in different information retrieval tests and the results were compared with those of CE and TM-align, representing two geometrical tools, and YAKUSA, 3D-BLAST and SARST as three representatives of linear encoding schemes. It is shown that the method obtains a high running speed similar to that of the linear encoding schemes. In addition, the method runs about 800 and 7200 times faster than TM-align and CE respectively, while maintaining a competitive accuracy with TM-align and CE. Conclusions: The experimental results demonstrate that linear encoding techniques are capable of reaching the same high degree of accuracy as that achieved by geometrical methods, while generally running hundreds of times faster than conventional programs.

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C-DAC makes new supercomputer, Biochrome, to aid biology research

The Pune-based Centre for Development of Advanced Computing (C-DAC), maker of series of high-end PARAM supercomputer, has developed a new powerful supercomputer called Biochrome to aid computational biology research with an investment of Rs 1 crore, a top official said.

“The Biochrome machine is an advanced blade server based high performance computing (HPC) facility developed by our scientists to aid biology researchers in the country and abroad,” Professor Rajat Moona, director general of C-DAC, said. The machine has a peak computing capacity of 5 TeraFlop or the capacity to perform 5 trillion operations per second.

“About 10 scientists from C-DAC spent over six months to design and produce Biochrome machine with a total investment of Rs 1 crore funded by the Department of Information Technology, government of India,” Rajendra Joshi, associate director and head of the department of Bioinformatics, C-DAC, who headed the research team, said. He said Biochrome is the latest product from Bioinformatics Resources and Applications Facility (BRAF) at C-DAC, to be used for high-end computation for bioinformatics. “Biochrome cluster can be accessed by researchers from industry and academia for research work,” Joshi said.

He said BRAF is an effort towards providing high-end supercomputing facility to the researchers working in the areas of life sciences. He said next generation sequencing technology had brought in a new dimension to understand the molecular basis for the occurrence of diseases.

“The next generation sequencing technology enables sequencing of hundreds of genomes at an extremely rapid rate and at a significantly lower cost,” Joshi said. To be able to generate knowledge from the oceans of genomic data, enabling technologies like high performance computing, grid computing and cloud computing were the latest weapons in the hands of modern biologist, he said.

Joshi said BRAF was also setting up an advanced Cyberinfrastructure for life sciences in collaboration with National Cancer Institute of National Institute of Health, USA, Tata Memorial Centre, Mumbai, Roslin Institute, UK, University of Edinburgh, UK, University of Surrey, UK, Oregon Health and Science University, USA, National Centre for Cell Science, Pune, IIT, Chennai and National Chemical Laboratory, Pune.

Bioinformatics Junior Scientist position at Sankara Nethralaya, Chennai

Centre for Bioinformatics focuses on to develop core competencies employing high performance computational systems with the ultimate goal of elucidating differences between health and disease. Candidates with passion towards Scientific Research and attitude to work in a multidisciplinary team are invited to submit their Curriculum Vitae along with 2 references.

The selected candidate will also have higher chance of being recruited as research fellows in future grants, which shall also lead to Ph.D, registration. This will be solely based on the performance review of the candidates after one year of service completion.

Name of the Post : Junior Scientist
Salary : Rs.10, 000/-
Qualification : M.Sc/B.Tech in Bioinformatics / LifeSciences Post Graduates with Skills mentioned below will also be considered
Skills required : Hands on Experience in Molecular Modelling, Docking, Molecular Dynamics Simulation and Cheminformatics Tools (OpenSource) in Linux Platform. Knowledge on Systems Biology and Scripting Languages (Perl/awk/python etc) will be an added advantage
* The selected candidate should be prepared to join within seven days after interview.

Dr.V.Umashankar
HOD & Reader,
Centre for Bioinformatics
Vision Research Foundation,
Sankara Nethralaya,
No 41, College Road, Nungambakkam
Chennai- 600006, India

Send your CV with confidence to drvus@snmail.org with subject as “JSBI APPLICATON”

Last Date of Application : 28-01-2012

For more details Check here

GN Ramachandran Fellowships in the field of computational biology

December 12, 2011

Applications are invited for the GN Ramachandran Fellowships recently instituted by the CCBB, DBT-COE, JNU to encourage young scholars to work in the interdisciplinary research in the field of computational biology. The fellowship is meant for brilliant scientists and engineers from all over the world to take up scientific research positions at SCIS, JNU.

SCOPE : Computational Biology & Data Mining.

QUALIFICATION & BACKGROUND:i) The fellowship is open to brilliant scientists and engineers who are below the age of 35 years .
ii) The applicant should possess a Ph.D. in Science/Engineering and have adequate professional experience.
iii) These Fellowships are very selective and only those who have a proven/outstanding track-record as evident from their research publications and recognitions would be eligible.

ELIGIBILITY FOR JUNIOR FELLOW :1. Ph.D. in any branch of natural sciences.
2. At least 2 years Post-Doc experience in theoretical/computational/quantitative sciences.
3. Preferable experience in the area of simulations, large scale data analysis, statistical modeling.

DURATION : The duration of the fellowship will be for three years or until the project (DBT-COE at JNU) granted, whichever comes first. Every year a report will be submitted for successful progress.

NATURE OF SUPPORT :

• The value of the fellowship will be Rs.40,000/- per month (consolidated)for Junior fellowship.
• School will provide the necessary R&D, administrative and basic infrastructural support to facilitate research. Please see the website : http://ccbb.jnu.ac.in/
• The GN Ramachandran Fellows will be eligible & encouraged for receiving regular research grants through the extramural funding schemes of various S&T agencies of the Government of India.
• The scientists will be working at CCBB, SCIS, JNU and collaboration with the members of SCIS as well as outside the school is encouraged.

METHODOLOGY FOR SELECTION :

• The availability of Fellowships will be through application and forms are available through CCBB. The applicant may apply through the form duly filled up and by email.
• Selection of Fellows will be made at least once/year by an empowered Search-cum-Selection Committee specially appointed for the purpose.

All applications may be sent to :

The Coordinator
Centre for Computational Biology and Bioinformatics
School of Computational and Integrative Sciences
Hall No.6, Lecture Hall Complex
Jawaharlal Nehru University New Delhi – 110 067.
Email : indirag@mail.jnu.ac.in Tel.: (011) 2674 1517

Last Date for application : Dec 25th.2011

For Further Information

NTU Singapore International PhD Program in Computational Biology/ Bioinformatics

NTU Singapore International PhD Program in Computational Biology/ Bioinformatics

The scientific landscape of bioinformatics/computational biology continues to change as the field is still evolving. It is anticipated that new scientific insights in computational biology and bioinformatics will impact the continued growth in biomedical science and biotechnology and will have considerable socio-economic impact.

Nevertheless, the number of personnel with major specialization in bioinformatics/computational biology hired by academia and industry remains small; yet, the professional requirements remain high and include a thorough education in

(i) mathematics and exact natural sciences (physics/chemistry),

(ii) computer science including programming and

(iii) life sciences (especially molecular level life sciences). Since bioinformatics applications in the real world occur at the cutting edge of the field, professionals in this field need to have strong own research experience.

This is exactly the goal of the SCE-BII PhD Program in Computational Biology and Bioinformatics.

PhD. student opportunities at the Bioinformatics Institute of the Agency for Science, Technology and Research (A*STAR) have so far been provided only by the A*STAR Graduate Academy. There are the NSS and AGS programs for applicants from Singapore and the SINGA program for some international applicants.

In March 2010, BII has entered a Memorandum of Understanding (MOU) with the School of Computer Engineering of the Nanyang Technological University (NTU-SCE) to support a newly established PhD. program in Computational Biology and Bioinformatics administered by NTU-SCE, with this step crowning the long-standing partnership of both sides. This support involves block-funding from BII as well as support with teaching and research resources.

Under this program, there will be multiple up-to-4-year scholarships to train graduates (with a Master of Science in natural sciences or engineering) towards a PhD. in Computational Biology and Bioinformatics. Besides a limited set of coursework aimed at complementing the existing knowledge of the applicant in an interdisciplinary manner, involvement in actual research as a member of a research team at BII or SCE will be the main activity during the training.

Applicants with excellent results during their university studies and a strong interest in computational biology/bioinformatics research are encouraged to apply. There are no eligibility limitations other than good performance, and applications from Singapore, countries in Southeast Asia or anywhere in the world are considered on a purely meritocratic basis.

How to Apply:

Kindly download the application form and email a completed form toscebii@bii.a-star.edu.sg.

Applicants to this PhD. program are expected to have completed a full Master of Science Program in natural sciences or engineering in a related field such as biology, chemistry, physics, computer science or medicine when the PhD. is started.

Design drugs that circumvent viral drug resistance - mechanism behind Tamiflu resistance

Oseltamivir (Tamiflu) is currently the frontline antiviral drug employed to fight the flu virus in infected individuals by inhibiting neuraminidase, a flu protein responsible for the release of newly synthesized virions. However, oseltamivir resistance has become a critical problem due to rapid mutation of the flu virus. Unfortunately, how mutations actually confer drug resistance is not well understood. In this study, we employ molecular dynamics (MD) and steered molecular dynamics (SMD) simulations, as well as graphics processing unit (GPU)-accelerated electrostatic mapping, to uncover the mechanism behind point mutation induced oseltamivir-resistance in both H5N1 “avian” and H1N1pdm “swine” flu N1-subtype neuraminidases. The simulations reveal an electrostatic binding funnel that plays a key role in directing oseltamivir into and out of its binding site on N1 neuraminidase. The binding pathway for oseltamivir suggests how mutations disrupt drug binding and how new drugs may circumvent the resistance mechanisms.

Oseltamivir (Tamiflu) is the main antiviral drug used to fight viral influenza outbreaks such as the recent swine flu (H1N1pdm) global pandemic and avian (H5N1) outbreak in Asia. Oseltamivir inhibits a protein on the surface of flu viruses called neuraminidase, which is responsible for releasing newly formed viruses. The rapid emergence of drug resistance in H5N1 avian flu (and recently the H1N1pdm strain) has already motivated numerous studies to understand how mutations render oseltamivir ineffective, but no focused investigation has yet elucidated the specific mechanism behind mutation-induced drug resistance. Here, large scale computer simulations are employed to study both H5N1 and H1N1pdm neuraminidase to answer the questions: how does N1-subtype neuraminidase bind oseltamivir, and how would mutations alter this process? The key finding revealed in our simulations is the discovery of oseltamivir binding to neuraminidase by a charged pathway on the protein surface. We suggest that point mutations may disrupt drug binding by interfering with this pathway. Our results explain the fundamental mechanism behind oseltamivir resistance and pave the way for the design of drugs that circumvent viral drug resistance.

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Largest Network Of Alzheimer’s Disease Protein Interactions

Through a complex analysis of protein interactions, researchers from IRB Barcelona and the Joint Programme IRB-BSC have discovered new molecular mechanisms that may be involved in the development of Alzheimer’s disease. The study, a collaboration between bioinformaticians and cell biologists, was led by IRB Barcelona group leader and ICREA researcher Patrick Aloy and appears today in the Genome Research, a reference journal in the field of genomics.

Alzheimer’s disease is an age-related neurodegenerative disease. Despite the considerable efforts made in recent years to understand the mechanisms that trigger this disease, an effective treatment is not yet available. This study reveals new molecular and functional data that could help researchers gain a better understanding of the disease and potentially to develop new therapies.

From the computer to the lab

Proteins are the molecular instruments that cells use to carry out their functions. Proteins don’t normally act alone, but interact with other proteins to form cellular networks. In this study, rather than looking at individual proteins as been done in many previous studies, the scientists analyzed the biology behind Alzheimer’s disease using a global approach. “We have combined computational and experimental methods to study the connections between proteins and put them in the context of their environment”, says Aloy.


To do so, the researchers used genetic methods to study the thousands of possible interactions between proteins known or thought likely to be involved in the disease, including proteins derived from the genes located on the chromosomes related to the Alzheimer’s disease. They obtained a total of 200 new interactions. This information, added to what is already known, brings the total number of Alzheimer’s-related interactions to 6000, and involves 1700 proteins, resulting in the largest network of interactions between proteins related to Alzheimer’s disease.

The computational analysis of these interactions, performed by the MareNostrum Supercomputer of the Barcelona Supercomputing Center (BSC), revealed that many of the groups of proteins are highly interconnected and have similar functions in cells. Some of these functions suggest new molecular mechanisms that could be linked to Alzheimer’s. A clear example is a protein called ECSIT, that relates oxidative stress to inflammation and changes in the mitochondria, indicating that these processes may play a role in the development of the disease.

The 94 terabyte MareNostrum is housed in the deconsecrated Chapel Torre Girona at the Polytechnic University of Catalonia, Barcelona, Spain:

Increased life expectancy and improvements in health care and diagnostics have led to the increased prevalence of the Alzheimer’s disease, which is a serious problem in both developed and developing countries. This study opens the door to new research aimed at finding a cure for the disease.

Sources: Institute for Research in Biomedicine-IRB, AlphaGalileo Foundation.

BioFocus Extends Contract with Amgen

Belgian biotech firm Galapagos today announced its BioFocus service division has extended a contract with Amgen through 2012 to include target discovery and validation work.

The extension will include the use of BioFocus' target discovery platform to deliver novel targets to support Amgen's therapeutic programs. Galapagos will receive €2 million ($2.6 million) in research fees in the first year, under the terms of the deal. It is also eligible for access fees and milestone payments.

Originally forged in 2002, the collaboration between BioFocus, which Galapagos acquired in 2005, and Amgen involves identifying new molecules against drug targets. The partnership was extended in 2006 and 2008.

BioFocus' discovery platform includes the use of in vitro and cell-based screening, structural biology, and chemogenomic and informatics tools.

Position open for Genome Computational Specialist

Courtesy: Bioclues

Job Reference: G586-10LL

Genome Discovery Unit, The John Curtin School of Medical Research, ANU College of Medicine, Biology and Environment

We are seeking a Genome Computational Specialist to support the work of researchers engaged in cutting-edge projects involving analysis of high throughput sequencing data. Location Canberra/ACT Term of Contract Permanent Grade ANU Senior Manager 1 (Information Technology) Salary Package $88,417 - $92,781 pa plus 17% superannuation Closing Date 3 January 2011 Position Overview The ANU's genomic strategies and expertise has positioned it as a key partner in a number of national and international genomics / phenomics research consortia. The ANU is underpinning this excellence in genomic biology by establishing a Genome Discovery Unit (GDU) for the analysis of high throughput sequencing data. The facility will be staffed by highly skilled personnel who will provide the core expertise for constructing and operating a high performance computing cluster that will serve the needs of projects employing high throughput sequencing. The ANU is seeking as the Genome Computational Specialist of the GDU a service-oriented individual with outstanding track record in high performance computing. The Genome Computational Specialist will have a successful track record in project management, of working collaboratively in a research environment and experience in biological data analysis and bioinformatics. Enquiries: Stephanie Palmer, T: 02 6125 9637, E: Stephanie.Palmer@anu.edu.au Additional Information PEWER.pdf Position description   Responsible to Manager, Genome Discovery Unit Role statement PURPOSE STATEMENT: The Genome Computational Specialist position has been identified as the crucial appointment for ensuring the successful creation and operation of the Genome Discovery Unit (GDU). KEY ACCOUNTABILITY AREAS: Position Dimension & Relationships: The Genome Computation Specialist reports to the Manager of the GDU and oversees the work of other computational and bioinformatics service staff in the GDU. The Genome Computation Specialist plays a key liaison role with staff at the ANU Supercomputer Facility, The National Computational Infrastructure, The ANU Division of Information and the College of Medicine, Biology and Environment IT function to ensure the provision of effective and robust computing resources for the analysis and storage of high throughput sequencing (HTS) data. The Genome Computational Specialist works in the Genome Discovery Unit (GDU) to: 1. Provide a centralised service for genome researchers including complete analysis pipelines for (HTS) projects encompassing sample preparation, sequencing, computational, data storage and bioinformatics needs. The service will also include other genomics services currently provided by the Biomolecular Resource Facility (BRF), including dideoxy sequencing & capillary electrophoresis, rtPCR and microarrays and genotyping. 2. Develop a critical mass of high level expertise in genomic analysis, particularly focussed on HTS and associated bioinformatics, with close integration of service provision with bioinformatic/genomics researchers and with education and outreach programs. 3. Develop and propagate genomics and bioinformatics capability and research strength at ANU and more generally in Canberra across a range of research areas, including through the joint development of major new research initiatives. 4. Develop and manage strategic relationships with key organisations including APF/APN, ANUSF/NCI, CSIRO, BPA, other genome/bioinformatics centres and facilities and major vendors and to leverage these relationships to enhance and grow areas of research strength at ANU and more generally in Canberra. Role Statement: Under the broad direction of the Manager, Genome Discovery Unit: 1. Develop and implement high performance computing strategies for the management, analysis and storage of HTS data. 2. Oversee the design, installation and ongoing maintenance of a computing environment that meets the needs of GDU researchers and facility users, including researchers throughout the Canberra region. 3. Oversee the development and execution of operating procedures that maximise the quality and robustness of GDU services including: provision of public data required for HTS analyses; design, implementation and routine testing of a backup and recovery plan for critical data; and mechanisms for end-user feedback. 4. Oversee the development of HTS analysis pipelines including assisting with choice and local installation of algorithms required to undertake these analyses. 5. Integration of the GDU computing facility with existing ANU IT infrastructure and the National Computational Infrastructure to maximise performance and availability of the computing capabilities to members and clients of the GDU. 6. Coordinate GDU bioinformaticians and instruct them on facility usage policy and the software engineering best-practices to ensure effective use of the facility and maximize the quality of results. 7. Prepare and deliver requested reports regarding service status. 8. Other duties as required consistent with the classification. Selection criteria     SELECTION CRITERIA: 1. Progress towards a postgraduate qualification in computer science or equivalent combination of relevant experience and or education/training with several years subsequent relevant specialist/professional experience. 2. Project management skills with expertise in managing multi-contributor software engineering projects including the associated quality control and quality assurance processes. 3. Experience and a sophisticated understanding of high performance computing environments including a working knowledge of cluster computing, cluster maintenance and systems administration. 4. Experience in the management and analysis of complex data. 5. Demonstrated experience in effective staff management ensuring the on time delivery of a technically oriented service. 6. Prior exposure to genome biology with intellectual flexibility and a practical approach to completing projects. 7. Well developed written and oral communication skills including the ability to communicate and work cooperatively with colleagues and staff from diverse disciplines. 8. A demonstrated understanding of equal opportunity principles and policies and a commitment to their application in a university context.

Positions open:PhD & Postdoc positions, Systems Biology, Finland

The Computational Systems Biology group led by Harri Lähdesmäki in the
Department of Information and Computer Science at Aalto University School of
Science and Technology (formerly Helsinki University of Technology) uses
computational and statistical modeling techniques to study molecular
regulatory mechanisms and biomolecular networks, and their role in health
and disease. We have interest in statistics, computational science and
molecular biology, and how modern computational methods can be applied to
experimental data to understand biological systems.

1.  Post-doc/Ph.D. studentship in computational systems biology
2.  Ph.D. studentship in computational systems biology
3.  Ph.D. studentship in statistical modeling and machine learning for next-generation sequencing data in systems biology
4.  Part-time research assistant (MSc student level) in bioinformatics/computational systems biology

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Bioinformatics Workshops @ Lucknow

Workshop: Developing Bioinformatics applications with Bioperl 
Duration: 5 days, Registration Fee: Rs. 2000 /-  
Starting date: November 05 - 09, 2010 

Workshop: Biological sequence analysis
Duration: 3 days, Registration Fee: Rs. 1000 /-
Starting date: November 26 - 28, 2010 

Venue:The Bioinformatica Solutions,lucknow

Fee should be deposited through bank draft in the name of

"The Bioinformatica Solutions" payable at Lucknow. 

Follow this link to apply http://www.thebioinformatica.com/Registration.htm 

2 day workshop on Protein Structural Analysis & Homology Modelling

Two-day national-level workshop on Protein Structural Analysis & Homology Modelling

DATES: October 23-24, 2010

LOCALE: Department of Biotechnology and Bioinformatics, 

Padmashree Dr. D. Y. Patil University Sector 15, CBD, 

Belapur, Navi Mumbai-400614, India

Janu Ganak and the Bioinformatics Community of the Department of
Biotechnology and Bioinformatics, Padmashree Dr. D Y Patil 

University, are pleased to inform you that a two day workshop

on "PROTEIN STRUCTURAL ANALYSIS AND HOMOLOGY 

MODELLING" is being organized. This workshop is the second

of a series of workshops that are aimed at giving complete 

hands-on experience in various tools and techniques used 

in the fields of life science and bioinformatics. This workshop

is aimed at giving practical experience on the basic methods of
visualization, analysis and modeling of protein structures using
bioinformatics tools. 

Both under-graduate and post-graduate students
can participate in this workshop. Interested candidates from the
research fraternity as well as faculties from various areas of the
life sciences are also welcome. We hope that this workshop will
provide a fairly good amount of knowledge about the retrieval of
proteins structures and their handling, which is essential in all
fields of the life sciences.

REGISTRATION:

Kindly email "dypbioinfo@gmail.com" to obtain a brochure, a
registration form, or for further details.

Last date of registration: October 20, 2010

Courtesy: Bioinformatics.org

4th Asian Young Researchers Conference on Computational and Omics Biology

The 4th Asian Young Researchers Conference on Computational and Omics Biology is jointly organized by the Joint-International Society for Computational Biology Student Council ISCB-SC Regional Student Group RSG Japan, Korea and Singapore; young researchers in Taiwan and the GCOE program “Genome BigBang” of The University of Tokyo, Japan.

The 4th AYRCOB aims to achieve a 2-fold objective:

1) To provide an avenue of exposure for students who are interested in the areas Computational and Omics Biology to participate in lectures of current topics from leading scientists of the field.

2) To establish international collaboration through interaction and discussion with fellow participants.

** Travel expenses of selected ORAL presenters will be FULLY COVERED by the conference sponsors! ** 

Key Dates

Wednessday, 25th August 2010: Call for Abstract Opens

Monday, 13th September 2010: Website Registration open

Monday, 25th October 2010: Abstract Submission Deadline

Friday, 5th November 2010: Abstract Acceptance Notification

Wednesday, 10th November 2010: Abstract Acceptance Deadline

1st to 3rd December 2010: Main conference (lectures, orals, posters, and discussions)

2rd to 3rd December 2010: 1st Joint Clinical Bioinformatics Symposium and Singapore Symposium on Computational Biology 2010

Do you want to know more?

Professional (P2), CEM Research Informatics @ Pfizer

Opportunity: Professional (P2), CEM Research Informatics @ Pfizer--San Francisco, CA (US)

BACKGROUND:
Pfizer Inc: Working together for a healthier world

Founded in 1849, Pfizer is the world's premier biopharmaceutical company taking new approaches to better health. We discover, develop, manufacture and deliver quality, safe and effective prescription medicines to treat and help prevent disease for both people and animals. We also partner with healthcare providers, governments and local communities around the world to expand access to our medicines and to provide better quality health care and health system support. At Pfizer, colleagues in more than 90 countries work every day to help people stay happier and healthier longer and to reduce the human and economic burden of disease worldwide.

RESPONSIBILITIES:
This role is responsible for supporting computational research operations at Rinat, interfacing with customers and BT partners to deliver IT related support and services.

Primary Responsibilities:
- Working with customers from senior leadership to bench scientists to identify and address key information systems needs, including data capture, data analysis and scientific decision making systems
- Work with Research BT teams to define and deliver solutions to meet the needs of Rinat scientists.
- Provide training and guidance to research scientists in the use of existing tools.
- Ensure alignment of any purchased or in-house systems to overall R&D BT Strategy.

REQUIREMENTS:
- MS/BS in Computational Sciences, Bioinformatics or related discipline
- Bioinformatics: at least 2 years experience using common bioinformatics applications, e.g. sequence similarity,   multiple sequence alignment
- Software Development: At least 4 years experience developing scientific applications
- Demonstrated excellent interpersonal and communication skills, both verbal and written.
- Proven ability to operate in an independent manner.
- Knowledge of pharmaceutical industry and computational sciences

PREFERENCES:
- Biological training a plus.

COMPENSATION:
Salary commensurate with experience.

At Pfizer, we've long recognized that our colleagues are our most important asset. We value our colleagues, recognize their talent, encourage their growth and reward their performance. It's a terrific environment that enables people to contribute, to do their best, and to achieve their potential.

Throughout our history, a legacy of caring for others has been at the heart of everything we do at Pfizer. This commitment is no less important when it comes to our employees.

When you choose a Pfizer career, we provide the resources to help you develop and succeed both in your career and your personal life. One way we can achieve this is through our comprehensive benefits program, which offers employees and their eligible dependents the variety and flexibility to help address their needs at different stages in life.

HOW TO APPLY: 
Please copy and paste the following URL into your browser address bar:
http://posttrak.arbita.net/cgi-bin/PostTrak.cgi?RefCode=R6871477508962

DEADLINE: October 22, 2010