Address of the bookmark: https://github.com/sarbal/EGAD

August 17, 2016

RGCB invites applications for the following positions from Indian citizens with prescribed qualifications. Full details including job description, additional desirable qualifications, etc. are described below.

Code No. 1

Senior Manager (Bioinformatics Operations)

(To download application format, click here )

Scale of Pay

PB-3 Rs.15600-39100 + Grade Pay Rs.6600/-

Number of Positions

1 (General)

Minimum Qualifications

PhD in Bioinformatics, Biotechnology, Life Sciences or Computer Science applied to biological questions.
A minimum of 5 years documented experience in national or state government R&D centers or state and central universities.
Track record of research funding and peer reviewed publications.
Proficiency using statistical analysis software or libraries such as R or Matlab.
Experience with a general scripting language such as Python, Ruby, or Pearl
Experience working with Next Generation Sequencing data
Proficiency with data visualization tools (Spotfire, Tableau, R, Python, etc.)
Experience with an object-oriented language such as Java, C++ or C# and familiarity with standard software development best practices: source code control, unit testing, in-code documentation and automated build environments.
Excellent listening, time management, organizational and interpersonal skills
Excellent communication skills, including the ability to illustrate problems and generate solutions
Management skills – demonstrated through the successful management of a team or large projects.
Broad and deep knowledge of computational methods for high-throughput sequence analysis and interpretation.
Extensive experience in delivering bioinformatics as a service and conducting training programs.
Experience of working with a production, customer-focused environment and business development projects.
Experience with management of funding and financial sustainability.
Demonstrated ability to work in a team environment and ability to lead and motivate an effective team, and also work as a good team player.
Good problem solver, able to logically identify solutions to technical problems.
Able to see the bigger picture and contribute towards strategic direction of Platforms and Pipelines teams.
Responsibilities

This position will involve cross-functional teamwork to build and develop bioinformatics tools and provide analysis for ongoing clinical trials.
Collaborate with biomarker scientists, clinical investigators and pipeline teams to build analytical tools.
Implement and evaluate new algorithms for R&D.
Support Research and Development teams by analyzing NGS data to identify predictive response markers
Lead training programs in Computational Biology and Bioinformatics.

More at http://rgcb.res.in/positions.php

Duration : Initially for a period of one year. Extendable based on the performance.

Qualification: (i) MSc in Bioinformatics, Biotechnology, Physics, Biophysics, Biochemistry,Computer Science with NET (UGC/CSIR/GATE/BINC/INSPIRE etc) qualification. (OR) (ii) M. Tech in Bioinformatics, Biotechnology

Additional qualification: Programming skills

Candidates who fulfill the requirements of IIT have the possibility to register for PhD.

Fellowship: Rs.25,000 and HRA.

Applicants are encouraged to send the CV to the coordinator by postal mail and e-mail. The deadline to receive the applications is 31st August 2016. The project coordinator has the discretion to restrict the number of candidates to be called for interview to a reasonable limit on the basis of qualifications and experience higher than the minimum prescribed in the announcement.

Project Co-ordinator:

Dr. M. Michael Gromiha
Department of Biotechnology
Indian Institute of Technology Madras
Chennai 600036
Email: gromiha@iitm.ac.in

ProteoClade helps you analyze two general categories of experiments:

1. Targeted Database Searches: Experiments in which a limited number of species are defined ahead of time, such as those involving Patient-Derived Xenografts (PDXs) or host-pathogen interactions. Reference protein sequence databases are used for targeted searches (ex: using Mascot, MaxQuant).

2. De Novo Searches: Experiments in which the organisms are unspecified ahead of time or involve samples of high taxonomic complexity. Mass spectra are analyzed in the absence of a reference database (ex: using PEAKS, PepNovo).

ProteoClade scales from two organisms to every organism in UniProt. Please refer to the complete documentation at proteoclade.readthedocs.io for installation, a user's guide, and examples.

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007741

Address of the bookmark: https://github.com/HeldLab/ProteoClade

More at http://www.web.manit.ac.in/Year%202016/JRF/walk%20in.pdf

Duration of the Project: Six Months from the date of appointment can be extended further for six months
Essential Qualification and Experience: 1st Class Masters Degree in Bioinformatics or Life Sciences equivalent degree from a recognized University with 4 years R&D experience in Bioinformatics or relevant subjects from recognized institutes.
OR
Ph.D. degree in Bioinformatics or Life Sciences from recognized University.
M.Sc. degree obtained after a one year course will not be considered.
Experience: Research/teaching experience in Bioinformatics or relevant subjects form recognized Institute(s).

More at http://www.actrec.gov.in/data%20files/Vacancies/2016/AV-scin-stud-trainee-6-Sept-16.docx

Address of the bookmark: http://master.bioconductor.org/packages/release/workflows/vignettes/rnaseqGene/inst/doc/rnaseqGene.html

Note: Experience in the following field required: Molecular cancer cytogenetic and genetic toxicology Molecular drug Designing and targeted therapy Cancer genomics, proteomics, bioinformatics and next generation sequencing Therapeutic stem cell research and gene therapy Molecular cancer immunology and immunotherapy Molecular epidemiology Tumor endocrinology Translation research Ultra structural/tissue engg/development biology research Virus and cancer Molecular pathology No. of Posts: 11 (Eleven), (SC-1, OBC-3, UR-7)

Location: Kolkata (Calcutta) Salary: Rs.15600-39100 + Grade, Pay Rs.5400/-

For details kindly refer to the Employment News dated 24-30 September, 2016 and in the Institute’s Website: http://www.cnci.org.in

Last date for receipt of applications is 30 days from the date of notification in the Employment News. Director Chittaranjan National Cancer Institute 378, S.P.

Institute’s Website: http://www.cnci.org.in

ashr - https://github.com/stephens999/ashr, https://cran.r-project.org/web/packages/ashr/index.html

consensusDE - https://bioconductor.org/packages/release/bioc/html/consensusDE.html

DESeq2 - https://bioconductor.org/packages/release/bioc/html/DESeq2.html

edgeR - https://bioconductor.org/packages/release/bioc/html/edgeR.html

limma - https://kasperdanielhansen.github.io/genbioconductor/html/limma.html  https://bioconductor.org/packages/release/bioc/html/limma.html

MetaCycle - https://cran.r-project.org/web/packages/MetaCycle/index.html, https://github.com/gangwug/MetaCycle

RUVSeq - https://bioconductor.org/packages/release/bioc/html/RUVSeq.html

SARTools - https://github.com/PF2-pasteur-fr/SARTools

tximport - https://github.com/mikelove/tximport

Bactopia was inspired by Staphopia, a workflow we (Tim Read and myself) released that is targeted towards Staphylococcus aureus genomes. Using what we learned from Staphopia and user feedback, Bactopia was developed from scratch with usability, portability, and speed in mind from the start.

Bactopia uses Nextflow to manage the workflow, allowing for support of many types of environments (e.g. cluster or cloud). Bactopia allows for the usage of many public datasets as well as your own datasets to further enhance the analysis of your sequencing. Bactopia only uses software packages available from Bioconda and Conda-Forge to make installation as simple as possible for all users.

To highlight the use of Bactopia and Bactopia Tools, we performed an analysis of 1,664 public Lactobacillus genomes, focusing on Lactobacillus crispatus, a species that is a common part of the human vaginal microbiome. The results from this analysis are published in mSystems under the title: Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Address of the bookmark: https://bactopia.github.io/latest/