Experience Required: 3-5 years of experience
No of Positions : Multiple
Qualifications: Candidates with minimum qualification as M.Sc Bioinformatics with 3-5 years of experience in Life sciences R&D or Pharma Industry.
Ph.D candidates with research experience in Bioinformatics with publications in International journal and minimum 2 years of industry experience in clinical genomics will be preferred for this position.

Requirement:

1. Must have basic understanding of molecular biology and Genomics.
2. Experience in application development or must have expertise in programming using either of Perl/Python.
3. Experience in statistical programming using R/Bioconductor/Matlab.
4. Strong concept in statistical and mathematical modelling.
5. Experience in designing and developing the bioinformatics pipeline.
6. Must have minimum 2+ years of hands on experience in NSG data analysis such as RNA-Seq,Exome-Seq ,Chip-Seq and downstream analysis.
7. Knowledge in WGS ,WES, Targeted re-sequencing,GWAS and population genomics will be preferred.
8. Must have experience working on opensource software/Framework and commercial software for NGS data analysis and reporting.
9. Should be aware of handling big data and guiding team members on multiple projects simultaneously.
More at http://www.ocimumbio.com/careers1/
10. Should have experience coordinating with different groups of clinical research scientist for various project requirements.
11. Ability to work as team as well as independently with minimal support.

Department of Biotechnology, Government of India, New Delhi & Pondicherry University, Puducherry

Starting of online submission of application : April 13, 2016

Last date for submission of application : May 13, 2016

Examination consists of two parts:

Part - I (Paper - I) : June 12, 2016 (10 AM -12 PM)
Part - II (Paper • II & III) : June 26, 2016 (9 AM • 12 PM & 2 PM • 4 PM)

Objective: Pondicherry University, on behalf of the Department of Biotechnology (DBT),
Government of India, will conduct the Bioinformatics National Certification (BING) examination. The objective of this examination is to identify Bioinformatics professionals
for further studies as well as to help potential employers in recruitment of candidates having exceptionally good Bioinformatics skills.

Eligibility : Bachelor degree in Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences, Agriculture, Veterinary, Medicine, Pharmacy, Engineering and Technology are eligible to appear for the examination. They need not have any formal training, diploma or certificate in Bioinformatics.

Application and syllabus : The online application can be filled from April 13, 2016 to May 13, 2016.

Syllabus for the examination is available online.

It consists of five sections:
Bioinformatics, Biology, Physical and Chemical Sciences, Mathematics & Statistics and Computer Science & Information Technology.

Examination : The examination fee is Rs. 600/- for general candidates, Rs. 400/- for women/OBC candidates and Rs. 200 for SC/ST candidates, and no fee for physically challenged candidates.

The online Part - I (Paper - I) examination is scheduled on June 12,2016 and Part- II (Paper - II and Paper- III) on June 26, 2016. The Paper- I will be of objective type and candidates scoring a minimum of 40% marks in Paper - I will be called to appear in Part II examination.

Part II examination consists of two papers : The Paper - II will be of short answer type questions of three hours duration while the Paper- III will be a practical examination of two hours duration to test analytical ability and programming skill of candidates.

Research Fellowships for all the successful candidates those who are interested and qualified in pursuing Ph.D. in India will be awarded. In addition, cash prizes will be awarded to the top 10 successful candidates.

The details of examination centres, other details and submission of application, please
visit: http://www.pondiuni.edu.in/exams/binc/

This page is a HOWTO guide for setting up a SLURM installation, currently focused on a CentOS 7 Linux OS. Please send feedback to Ole.H.Nielsen /at/ fysik.dtu.dk.

See the SLURM homepage (also https://computing.llnl.gov/linux/slurm/).

Address of the bookmark: https://wiki.fysik.dtu.dk/niflheim/SLURM

Monsanto is seeking a very talented Genomics Scientistto become an integral member of our Global Pipeline Analytics team with a focus on quantitative genetics. The ideal candidate will have familiarity with modeling and analysis of genetic data sets using a variety of statistical techniques.

Major Responsibilities:
- Provide guidance on experimental design for genomic-related experiments
- Familiarity with analysis of the following methods: GWS, QTL, eQTL, RNA-Seq
- Provide written and oral presentations of methods, results, conclusions, and recommendations to peer and management groups.
- Ensure timely delivery and clear communication of results
- Develop strong and successful collaborations among various Monsanto enabling teams.

Required Skills:

- PhD degree in Statistics, Biostatistics, Statistical Genetics, Quantitative Genetics, Breeding, Bioinformatics or a related field with 2 years of experience
- Working knowledge and experience with one of the following quantitative languages:R, Python, Perl, SAS
- Background in Windows and Linux operating systems
- Very strong problem solving skills will be required to work well as a member of a dynamic team
- Strong verbal and written communication skills.
- Demonstrated ability to deliver timely results and be results oriented.
- Extensive knowledge of quantitative genetics and experimental design. 
- Demonstrated track record of solving challenging and complex problems.

Desired Skills/Experience:

- Excellent communication skills, with the ability to summarize complex concepts in language understandable by scientists from a variety of disciplines.
- Experience in agronomy and/or plant breeding in vegetables or row crops.

Please apply to
https://jobs.monsanto.com/job/st-louis/genomics-scientist/769/2081771

Tutorial at http://evomics.org/learning/genomics/satsuma/

Address of the bookmark: http://satsuma.sourceforge.net/

http://biogps.org/#goto=welcome

Address of the bookmark: http://biogps.org/#goto=welcome

Main features:

1. works with any number of scaffold assemblies in de-novo non-progressive fashion
2. allows to simultaneously work with scaffold assemblies obtained from any in silico and in vitro techniques, supporting multiple existing formats via built-in converters
3. creates an extensive report with several comparative quality metrics (both on assembly level and on the level of individual assembly points)
4. constructs a merged combined scaffold assembly
5. provides an interactive framework for a visual comparative analysis of the given assemblies

Address of the bookmark: https://cblab.org/camsa/

Address of the bookmark: http://www.ici.upmc.fr/cluego/