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BACKGROUND:
Ginkgo BioWorks is a young company out of MIT with the mission of making biology easier to engineer. We engineer organisms to address fundamental challenges the world is facing today. We aren't trying to study biology, we are trying to build it - constructing, editing, and redesigning the living world. Our bioengineers make use of an in-house pipeline of synthetic biology technologies to design and build new organisms.
RESPONSIBILITIES:
You will be working closely with our biological engineers to write the code that provides the backbone for our synthetic biology pipeline. Work may include programming to control robotic DNA construction, automate measurement processes, design genes and genomes, or manage our process workflow for building organisms. It will depend what's most important once you start - this is a fast moving field and we're a young company.
REQUIREMENTS:
- You don't need previous biology experience: Ginkgo is a great environment for amazing programmers to learn to hack biology.
- Ginkgo's programming languages of choice are Ruby, Python, C, or DNA, but you must be someone who loves writing elegant code in any language.
- Most importantly, you should be passionate about engineering biology.
TERMS:
Applicants must be able to start within 6 months.
HOW TO APPLY:
Please visit: [link]
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BACKGROUND:
Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation. We are a world-class team of scientists, engineers, technologists, post docs, and visiting researchers all focused on cutting-edge technology, ranging from homeland defense, global security, biotechnology, and environmental preservation to energy and combustion research, computer security, and nuclear defense.
To learn more, visit:
California Website: http://ca.sandia.gov/casite/
New Mexico Website: http://www.sandia.gov/
REQUIREMENTS:
- Bachelors degree in Bioinformatics, Computer Science, Computer Engineering, or four years of relevant software engineering experience or education
- Ability to operate in a UNIX/Linux operating environment
- Fluency in object-oriented Perl, and one or more relational database management systems. Knowledge of one or more programming languages such as C++, C#, R, Java. Familiarity with web technologies such as HTML, CSS, PHP, Ajax
- Programming expertise in statistical analyses software packages, such as SAS, MATLAB, Mathematica and/or the R Project for Statistical Computing, languages and tools
PREFERENCES:
- Parallel and grid-based computing programming experience
- Ability to support production data management and software pipeline operation
- Ability to provide support to senior-level scientific staff
POLICY:
Sandia is required by DOE directive to conduct a pre-employment background review that includes personal reference checks, law enforcement record and credit checks, and employment and education verifications.
Applicants for employment must be able to obtain and maintain the appropriate DOE security clearance if required for a position. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for employment including access to classified information or matter.
Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied by the DOE, rendering the inability to perform the duties assigned and resulting in termination of employment.
Sandia is a Department of Energy (DOE) national laboratory; as such, many of our jobs require a DOE security clearance, which requires U.S. citizenship. If this position requires a Department of Energy (DOE)-granted security clearance, U.S. citizenship and employee eligibility for clearance processing will be required at the time of hire.
If you hold dual citizenship and you accept a job offer for a position that requires a DOE-granted security clearance, you may be asked by DOE to renounce your foreign citizenship and retain only your U.S. citizenship.
LOCALE: Albuquerque, NM
COMPENSATION: DOE
HOW TO APPLY:
Visit http://tinyurl.com/233kmec and submit your resume.
DEADLINE: October 31, 2010
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BACKGROUND:
The HGSC Next-Generation Sequencing Informatics group is looking for a highly motivated individual with a strong computer science background who is excited by the computational challenges of high-throughput genomic sequencing.
With the rapidly advancing and improving next-generation DNA sequencing technologies, there is an ever-increasing data volume that stresses the computational resources used to process and analyze this data.
RESPONSIBILITIES:
Responsibilities include all aspects of NexGen sequence analysis; this consists of the actual sequencing instruments, data transfer pipelines, analysis pipelines and downstream analysis.
The candidate will be working with a group of four developers with the main objective of delivering high quality, stable, maintainable and scalable software that allows us to keep up with the dynamics of the NexGen sequencing field. Systems knowledge is a plus as the candidate will be interacting with our systems administration team.
The HGSC work environment is active and energized, with a strong team spirit and dedication to delivering the world-class scientific results with tight schedules and modest budgets. We are always looking for new ideas, methodologies and technologies that help us deal with the interesting problems we face on a daily basis.
REQUIREMENTS:
- A UNIX enthusiast with deep knowledge of UNIX/Linux at the user/programmer level
- Solid understanding of Computer Science & Software Engineering Principals
- Expert knowledge in at least one scripting language (preferably Ruby, Perl, or Python)
- Some C/C++ Experience
- High-performance Cluster Computing Experience (LSF or moab a plus)
PREFERENCES:
- Distributed programming experience
- Computational Genomics and/or Bioinformatics experience
- Developer/Maintainer of Open Source Project(s)
HOW TO APPLY:
Qualified candidates should submit curriculum vitae/resume via mail, e-mail or fax to:
BCM Human Genome Sequencing Center
Attn: Roxanne Reyna
One Baylor Plaza – BCM 226
Houston, Texas 77030
Email: rbeltran@bcm.tmc.edu
Fax: 713-798-5741
Our positions are processed through the Baylor College of Medicine Human Resources Department. You will also need to apply for this position by visiting the BCM employment website at http://www.medschooljobs.org.
POLICY:
Baylor College of Medicine is an Equal Opportunity, Affirmative Action, and Equal Access Employer.
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RESPONSIBILITIES:
A bioinformatics analyst position is available in a human population genetics and genomics laboratory at the Human Genome Sequencing Center at Baylor College of Medicine in Houston, Texas. The successful candidate will have the opportunity to work on projects related to medical re-sequencing and the genomics of human populations. Research topics in the laboratory include understanding the human genetic susceptibility to disease, exploring the effects of admixture and selection on population structure, and mutation dynamics. Projects require genomewide analyses of genetic diversity utilizing large datasets generated by next-generation sequencing and whole genome SNP genotyping.
REQUIREMENTS:
- A suitable candidate should have a degree in a quantitative field, such as statistics, computational biology, or computer science, with interest in genetics/genomics.
- Candidates with degrees in genetics or related fields with strong computational and statistical expertise are also encouraged to apply.
- A successful candidate will have expertise in scientific programming (preferably in C/C++, PERL), UNIX/Linux operating systems, and possession of excellent communication and writing skills.
COMPENSATION:
Salary is commensurate with education and qualifications.
HOW TO APPLY:
Applicants should submit a statement of research interests, curriculum vitae, and names, telephone numbers, and email addresses of three referees to:
Penelope E. Bonnen, Ph.D.
Department of Molecular and Human Genetics
Baylor College of Medicine
E-mail: pbonnen@bcm.edu
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BACKGROUND:
SAIC-Frederick, Inc., is a wholly owned subsidiary of Science Applications International Corporation (SAIC). As prime contractor for the National Cancer Institute’s research and development center in Frederick, MD, this national laboratory is dedicated to rapidly translating basic research into new technologies for diagnosing, treating, and preventing cancer and AIDS. SAIC-Frederick maintains a full suite of advanced technologies in areas such as nanotechnology, genomics and imaging; operates the federal government’s only drug and vaccine manufacturing facilities; operates the high-performance Advanced Biomedical Computing Center; and supports more than 300 clinical trials for patients in the US and around the world.
THIS POSITION IS AN AMERICAN RECOVERY AND REINVESTMENT ACT (ARRA) FUNDED POSITION.
RESPONSIBILITIES:
SAIC-F is seeking a Senior Scientist to provide leadership in bioinformatics and biostatistical analysis for ARRA National Cancer Institute (NCI) Programs. These NCI programs include The Cancer Genome Atlas (TCGA) (http://cancergenome.nih.gov), Therapeutically Applicable Research to Generate Effective Treatments (TARGET) (http://target.cancer.gov), and the Cancer Genome Characterization Initiative (http://cgap.nci.nih.gov/cgci.html). Goals of the analysis include assessing the technical quality of data, assessing the scientific quality of data, comparing newly generated data with existing data, and developing novel hypotheses about cancer biology, diagnosis, tumor progression, and therapies. The Senior Scientist will provide scientific and technical leadership for this analysis work and work closely with other scientists within SAIC-F and the Center for Biomedical Informatics and Information Technology (CBIIT). Some projects will be broadly defined and will require a high level of initiative and responsibility. For example, may be tasked with identifying mutations and copy number alterations that appear to be driving tumor progression or characterizing tumor subtypes in a given data set. Other projects will be more narrowly defined. For example, possible projects include computing the sequence read coverage for all exons in a given set of genomic sequence data. Several projects may be active concurrently.
REQUIREMENTS:
- In addition to education requirements, a minimum of five (5) years of competent, innovative research in a related field
- Must have significant experience with bioinformatics and biostatistics in the area of cancer research
- The ability to direct the work of other bioinformatics and biostatistical analysis
- An understanding of current method of DNA and RNA sequencing; experience in analyzing high-throughput genomic data, including genotype, genomic sequence and gene expression data
- Experience in applying algorithms for computing sequence homology, for mapping sequence reads to reference genomic sequence, and for detecting sequence variation
- Experience in correlating molecular and clinical measures and in applying algorithms for clustering and classifying samples by molecular measures
- Understanding of current methods of measuring gene and miRNA expression and alterations in genomic copy number and heterozygosity
- Must have outstanding oral and written communication skills and the ability to completely define an analytical approach for defined scientific questions.
- This position is subject to obtaining a Public Trust Clearance.
PREFERENCES:
- Experience directing the work of others and expertise in biostatistics, bioinformatics algorithms, and programming languages such as R or scripting languages such as Perl
- Experience in managing development and deployment of applications and services that are subject to the regulatory requirements in the clinical trials regulatory domain
- These regulatory requirements include 21 CFR Part 11, HIPPAA, FISMA, Section 508 of the Rehabilitation Act, and OMB Memorandum M-06-16.
HOW TO APPLY:
Please visit http://www.saic-frederick.com/careers for more information and to apply.
REFERENCE: Req ID 182207
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