We are seeking an individual with expertise in analyzing next generation sequencing data, mutation calling in exome seq data, network inference, data integration, and modeling. Competitive candidates would also have programming experience in scripting languages with perl, C, C++, and R programming. This position requires a PhD in Computational Biology, Bioinformatics, Biostatistics or related fields, and evidence of scientific productivity through publications in international journals. Motivation to gain an in-depth understanding of biological phenomena is required! Applications should include a current CV and names of at least three references. Application packages and inquiries regarding this position can be sent to Dr. Dasaradhi Palakodeti ( dasaradhip@instem.res.in ) or Dr. Colin Jamora ( colinj@instem.res.in). Screening of applications will commence immediately and the position will remain open until filled.

More at https://www.instem.res.in/open-positions

Essential Qualifications:
First class M. Tech or M.E. in computer science or information technology or bioinformatics with 4 years of R&D experience (after Master’s Degree) in an R&D organization with work profile of large data assembly, analysis, and/or customer/user-based software programming and/or, program implementation, database development evidenced by patents and/or publications, credible scale of R&D related data/data sets submission to public database for expanded use etc. Company Info.
Centre for Innovative and Applied Bioprocessing

CENTER OF INNOVATIVE AND APPLIED BIOPROCESSING (A National Institute under Dept. of Biotechnology, Ministry of Science & Technology, Govt. of India) 2nd Floor, C-127, Phase VIII, Industrial Area, S.A.S. Nagar, Mohali-160071(Pb). Additional Information States & U.T State & Union Territories Punjab How To Apply Apply Details
Apply directly.. Web/Notification URL http://ciab.res.in/vacancies/CIAB-Rollin g%20Advt-2015.pdf

Eligibility : MSc(Bio-Informatics), BE/B.Tech

Location : Kasaragod

Last Date : 20 Dec 2015

Hiring Process : Face to Face Interview
Central University of Kerala

JRF job opportunity in Central University of Kerala (CUK) on temporary basis

Project Title : "Targeting TAL effector mediated susceptibility for durable and broad-spectrum resistance to bacterial blight in Rice"

No. of Post : 01

Qualification : MSc in any subject under Life Science or Bioinformatics/ B.Tech in Bioinformatics + 1 yr experience

Stipend : Rs. 14,000/-
How to apply

Interested candidates are requested to send their applications explaining their interest in the position with an updated CV to Dr. Ginny Antony, Assistant Professor, Department of Plant Science, School of Biological Sciences, Central University of Kerala, Padannakkad, Kasaragod, Kerala - 671 314 email: ginnycuk2013@gmail.com on or before 20th December, 2015.

Eligibility : ME/M.Tech(Bio-Informatics/Bio-Chemistry Engg, CSE), MSc(Bio-Informatics, CS)

Location : Delhi

Last Date : 18 Dec 2015

Hiring Process : Walk - In
IARI - Job Details

JRF/Traineeship/Studentship Bioinformatics job position in Indian Agricultural Research Institute (IARI) purely temporary

JRF

Qualification: i) Master’s degree in Bioinformatics or Computer Science + NET qualification, or ii) M. Tech degree in Bioinformatics or Computer Science/Engineering

Desirable: Efficiency to handle agricultural databases and bioinformatics tool development

Pay Scale :Rs 25000/-

Age limit : 35 years

Traineeship/2 Post

Qualification: M.Sc./M. Tech (Bioinformatics) with 60 % marks from a recognized University

Pay Scale :Rs. 8000/-consolidated

Age limit : 35 years

Studentship/4 Post

Qualification: Final year M.Sc./ M.Tech (Bioinformatics) Students from a recognized University

Pay Scale :Rs. 8000/-consolidated

Age limit : 35 years
How to apply

Walk-in-Interview will be held on 18th December 2015 at 10:00 AM at AKMU, LBS Building,IARI, Pusa Campus, New Delhi-110012. Bring self attested copies and originals of all certificates ( class 10th )onwards along with biodata in the attached format, proof of date of birth, one passport size photo, NOC from present employer, if any.

More at http://www.iari.res.in/index.php?option=com_jumi&fileid=24&Itemid=664

Eligibility : ME/M.Tech(Bio-Informatics/Bio-Chemistry Engg), MSc(Bio-Informatics)

Location : Hyderabad

Last Date : 30 Dec 2015

Hiring Process : Written-test
University of Hyderabad

JRF Bioinformatics job position in University of Hyderabad

Project Entitled : Programming protective humoral responses with novel vaccine formulations against Dengue Virus

Essential Qualifications : M. Sc. in Life Sciences/Bioinformatics/ or M. Tech in Bioinformatics with a minimum of 60% marks and with CSIR-UGC JRF/NET or valid GATE score are preferred. Desirable : Candidates should have six months to one year hands on experience in molecular biology techniques like gene cloning, protein expression and purification, hands on various nano-formulations for drug/vaccine delivery, immunological assays including animal handling, immunizations, T cells and B cell assays or Candidate should have strong background in Bioinformatics and computational Biology, good programming skill particularly proficiency in R/PERL/PYTHON. Candidates interested in above position should send a one page statement clearly explaining how their skills are relevant to the above said position. The candidates should also enclose detailed CV and the name/Email IDs of three references

Fellowship : Rs. 16,000 p.m. + 30% H.R.A. for the first two years (Revised DBT fellowship guidelines maybe applicable)

Duration : The appointment will be on temporary basis for a period of one year. Based on performance, the appointment could be extended till the end of project

How to apply

Submit your application (hardcopy) in a closed envelope to Dr.Nooruddin
Khan, Room S-66B,Department of Biotechnology and Bioinfromatics, School of Life Sciences, University of Hyderabad, Gachibowli, Hyderabad 500 046 or E mail: nklabsls@gmail.com. Last date for receipt of applications is on or before 30.12.2015

More at http://uohyd.ac.in/index.php/component/content/article/87-administration/recruitments/129

Title : In silico understanding of molecular basis of recognition, binding, and regulation of mRNA by STAR family of transcriptional regulators.

No. of Post : 01

Department : Science and Technology

Qualifications : M.Sc./B.Tech in computational life sciences, computational chemistry, computational natural sciences or allied areas. Working experience in MD simulations, bioinformatics, molecular modeling, and drug designing is desirable and plus

Emoluments : As per DST norms
How to apply

Applicants are requested to send application along with bio-data and a summary of previous projects (if any) as a PDF file with the e-mail to Dr. Monika Sharma, Email: mnsharma@iisermohali.ac.in. Last date of applications is 17:00 IST. Feb 15, 2016. Shortlisted candidates will be called for interview on Feb 22, 2016.

More at http://14.139.227.202/tenders/tenderinvite/index.php/iiserm-project-openings/554-applications-are-invited-to-work-as-project-assistant-in-a-dst-inspire-research-project-funded-by-department-of-science-and-technology-india

It was first developed to transfer annotations between different genome assembly versions. However, it can also transfer annotations between strains and even different species, like Plasmodium chabaudi onto P. berghei, between different Leishmania species or Salmonella enterica onto other Salmonella serotypes. RATT is able to transfer any entries present on a reference sequence, such as the systematic id or an annotator's notes; such information would be lost in a de novo annotation.

More at http://ratt.sourceforge.net/

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

• Automatically improve draft assemblies
• Find variation among strains, including large event detection

Pilon requires as input a FASTA file of the genome along with one or more BAM files of reads aligned to the input FASTA file. Pilon uses read alignment analysis to identify inconsistencies between the input genome and the evidence in the reads. It then attempts to make improvements to the input genome, including:

• Single base differences
• Small indels
• Larger indel or block substitution events
• Gap filling
• Identification of local misassemblies, including optional opening of new gaps

More at https://github.com/broadinstitute/pilon/wiki

Address of the bookmark: https://github.com/broadinstitute/pilon/wiki

More at https://github.com/mills-lab/svelter/

Address of the bookmark: https://github.com/mills-lab/svelter/

More at http://bioinf.spbau.ru/quast

http://bioinformatics.oxfordjournals.org/content/early/2013/03/09/bioinformatics.btt086.long

Address of the bookmark: http://bioinformatics.oxfordjournals.org/content/early/2013/03/09/bioinformatics.btt086.long