(INDIAN COUNCIL OF MEDICAL RESEARCH)

P.O BOX 101,
Dr. M. Miyazaki Marg,
Tajganj, Agra - 282001

Applications are invited for a walk-in interview to be held in the Seminar Hall of the on 15th November, 2013, 9:30 am for temporary positions of JRF, Lab Technician and Field attendant in a ICMR funded project entitled "Elucidating the strain differentiation and transmission dynamics of M. leprae through simple sequence repeats ISSR-PCR marker"

1. JRF (one Post)

Essential qualification: Candidates with M.Sc/IVI.Tech or equivalent degree in any life science related subjects with UGC-CSIR/ICMR/DBT-Net qualified

Desirable qualification: Experience in Molecular Biology/Computational Biology will be preferred.

Age. Maximum 28 years as on 11.11.2013. Age relaxation as per GOI rules.

Emoluments: Rs. 6,000 + 20% HRA per Month

2. Lab Technician (One Post)

Essential Qualification: 12th with DMLT/B.SCA4.SC in Life sciences

Desirable qualification: Experience in Molecular Biology/Computational Biology will be preferred.

Age: Maximum 30 years as on 11.11.2013. Age relaxation as per GOI rules.

Emoluments: Rs13,760/ Per Month

3. Field Attendant (One Post)

Essential Qualification: 10th Pass

Desirable Qualification: Experience in field work

Age: Maximum 28 years as on 11.11.2013. Age relaxation as per GOI rules.

Emoluments: Rsl2,040l Per Month

Terms: posts are purely temporary. Appointment will be initially made for a period of one (01) year and may be extended further based on the performance of the candidate up to completion of the project.

Application & Selection procedure: candidates have to appear in the walk-in-interview in person along with an application/CV on plain paper giving details of at educational qualificationq experience and submit photocopies of relevant documents at the time of interview. Selection will be based on the performance of the candidate in the interview' Candidates will not be sent any interview call letter separately. No TA/DA will be paid to the candidate for appearing in the interview. selection is not possible without appearing in the interview. All candidates must report by 9:00am on the date of interview. Advance copy of CV may be sent to m.sarathipartha@gmail.com

Advertisement: http://www.jalma-icmr.org.in/P_S_M_advertisment.pdf

Bioinformatics

High-throughput and high-dimensional data analysis

Microbiome data analysis (Main focus)

Next-generation and third-generation sequencing data analysis for genomics

Gene expression data analysis

Machine learning for biological data

Biomarkers identification

Database and web-application for biological data

More at
https://sites.google.com/mail.kmutt.ac.th/kanthida-k/home?authuser=0

Disclaimer: This cartoon is solely designed to create humour and fun, not to offend any computer experts.

Address of the bookmark: https://www.biostarhandbook.com/

Why Bioinformatics Matters More Than Ever

Every day, our world generates massive amounts of biological data—from genome sequences to microbiome profiles to real-time pathogen surveillance. Hidden within these datasets are the answers to some of the greatest challenges humanity faces: emerging diseases, antimicrobial resistance, environmental stress, genetic disorders, sustainable agriculture, and more.

Bioinformatics isn’t just a skill.
It’s the language of the future of biology.

By mastering it, you give yourself the power to:

Decode genomes and understand life at its most fundamental level

Identify patterns no microscope could ever reveal

Predict disease outbreaks before they occur

Accelerate drug discovery with computational precision

Contribute to open-source tools that empower scientists worldwide

You don’t just follow science—you drive it.

Every Expert Was Once a Beginner

Many newcomers feel intimidated. Command-line interfaces. R scripts. Python packages. Next-generation sequencing data. Complex machine learning models.

But here’s the truth: every bioinformatician started exactly where you are now—curious, unsure, but excited.

No one writes perfect code on day one.

No one understands genomics pipelines immediately.

What makes you a bioinformatician is not perfection, but perseverance.

When your script throws a cryptic error…
When your data refuses to format…
When your pipeline runs for 6 hours only to crash…

Remember: this is part of the journey.
Every error teaches you. Every retry strengthens you. Every breakthrough energizes you.

Bioinformatics Is Not Just a Career—It’s a Mindset

It’s the mindset of:

Problem-solving.

Continuous learning.

Turning chaos into clarity.

Seeing what others can’t.

Bioinformaticians are detectives of biological complexity. You sit at the intersection of innovation, using tools that can shape public health, medicine, agriculture, and ecology. Few fields give you such direct impact on the world.

Your Contribution Matters

As you work on your script, pipeline, genome, or model, remember:

Somewhere, your analysis might contribute to:

A new therapy

A faster diagnostic test

A better understanding of a pathogen

A more resilient crop

An open-source dataset that helps thousands

A discovery that rewrites textbooks

Your code may be small, but its ripple effect is powerful.

The Future Is Bioinformatics—And You Are Part of It

The world is shifting. Wet labs are integrating AI. Hospitals rely on genomic insights. Farmers use gene-level predictions. Governments monitor disease in real time. Students launch pipelines that become global tools.

This is a golden era—and you are not late.
You are exactly where you need to be.

Keep Pushing. Keep Learning. Keep Discovering.

Bioinformatics is a journey filled with challenges, but also with unmatched rewards.

So the next time you feel stuck, frustrated, or overwhelmed, remember:
You’re building the science of tomorrow.

Be proud. Stay curious. Keep going.
Your work matters more than you think.

Research Area

We are interested in the development of the statistics and computational methods for the analysis of this data in breast cancer.
We have worked on probabilistic models for subcellular localization, protein-protein interactions, and problems related to chemical genomics.
We are interested in the development of bioinformatics/biostatistical methodology in the analysis of epigenetic/epigenomic data.
We are interested in integrative bioinformatics approaches to learn the gene, gene products, interactions, and regulatory mechanisms involved in mental retardation.

Link @ http://www.mcgill.ca/mcb/

Awesome viddeo explaining the way in which the antibody, HuLuc 63, appears to induce anti-tumor effects by binding to a protein that is only expressed on the surface of myeloma cells. This initiates antibody-dependent cellular cytotoxicity activity that kills myeloma cells and leaves healthy cells intact.

Master's degree in bioinformatics, computer science, molecular biology, or related field
One year of experience in analyzing RNA-Seq data
In lieu of a degree, consideration will be given to an equivalent combination of related education and required work experience.
Understanding of molecular biology, biochemistry, and genetics
Proficiency in writing scripts using Perl, Python, Java, or equivalent languages
Proficiency in R and UNIX/LINUX
Knowledge of genomics, alignment, annotation, bioinformatics, concepts of sequence assembly
Highly motivated and detail-oriented
Ability, interest, and curiosity to learn new skills
Must possess strong communication skills to work effectively with users across disciplines
Ability to work independently and as part of a multi-disciplinary team
Strong visual, verbal, and written communication skills
Excellent time organizational skills
Preferred:

Experience writing software or building software pipelines
Experience with oncology-specific public databases including TCGA
Experience with deploying and/or running software on high-performance computational systems
Statistical and experimental design knowledge
Additional Information:

This position is contingent on the availability of funding
Purdue will not sponsor employment authorization for this position
A background check will be required for employment in this position
FLSA: Exempt (Not Eligible For Overtime)
Retirement Eligibility: Defined Contribution Waiting Period
Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply

More at https://careers.purdue.edu/job/West-Lafayette-Bioinformatician-Purdue-Cancer-Center-IN-47906/686617600/

Name of the fellowship: Junior Research Fellow (JRF) / Project Fellow

Title of the project: Genome-wide Mapping of Murine Specific Dengue T-cell Epitopes: Computational Prediction, Identification and use as Candidate Vaccines

Duration: 3 years

Fellowship: Rs. 18,000 for first 2 years and Rs. 20,000 for 3rdyear (for M.Tech. candidates)

Rs. 16,000 for first 2 years and Rs. 18,000 for 3rdyear (for M.Sc. candidates with NET qualification)

Rs. 8,000 for first 2 years and Rs. 10,000 for 3rdyear (for M.Sc. candidates without NET qualification)

Qualifications: M.Tech. in Biotechnology / M.Sc. in any branch of Life Sciences

Desirable Experience: Minimum of two years research experience in any of the following areas: Immunology / Microbiology / Gene Manipulation / Bioinformatics

Interested and eligible candidates may apply with their resume along with relevant documents and a passport size photograph to the Principal Investigator by post (or e-mail) on or before December 31, 2013. Only short listed candidates will be called for written test and/or interview. Selected candidate may register for PhD in Kalasalingam University. No TA/DA will be paid for attending interview.

Dr. K. Sundar
Principal Investigator (SERB Project)
Department of Biotechnology
Kalasalingam University
Krishnankoil – 626126, Tamil Nadu
sundarkr@klu.ac.in

Essential experience / qualifications:
We are looking for highly motivated candidates holding a Master / Diploma in Biology, Biochemistry, Molecular Medicine or similar; solid knowledge of molecular and cell biological techniques; good English knowledge.

Applications:
Please send your application (including CV, letter of motivation, contact information of two references, and list of publication) by 13.03.2020 at the latest to:

Universitätsklinikum Erlangen
Chirurgische Klinik
Translational Research Center
Prof. Dr. rer. nat. Michael Stürzl
Schwabachanlage 12
91054 Erlangen
E-Mail: michael.stuerzl@uk-erlangen.de