ICAR-IARI Bioinformatics Officer Job – Applications Invited

ICAR-IARI Bioinformatics Officer Job – Applications Invited

ICAR-IARI Bioinformatics Officer Job – Applications Invited. Zonal Technology Management & Business Planning and Development Unit ICAR-Indian Agricultural Research Institute, New Delhi is conducting an offline interview.Bioinformatics graduates apply for an interview at ICAR.

Name of the Post:Executive Officer-Bioinformatics

Name of the Project: DST-NIDHI TBI

Number of Post: One

Terms and conditions:

1. The maximum age will be 45 years.
2. Candidate shall produce a No objection and an experience certificate from the employer in case he/she is employed at the time of interview.
3. The above position is purely on contract basis for a period up to 31th March, 2024 or period till termination of the project whichever is earlier.
4. Selected candidate will not be entitled to claim for regular appointments/absorption either in this institute or in ICAR. Non-maintenance of the discipline and failure to perform the assigned duties will make liable for termination during the appointment period as per ICAR rules.
5. Interested applicants are requested to send their application in single pdf format through e-mail to [email protected] on or before September 18, 2023. The candidate will have to compulsorily fill to the application form (as per the format annexed), CV, Scanned copies of all the original Documents/certificates from matriculation onwards degree certificate & experience (Self Attested). A recent passport size photograph must be pasted onto the application form.
6. Only the candidates having essential qualifications would be selected for the interview.
7. Canvassing in any form will disqualify the candidature.
8. Without dully filled application form and proof of documents, the application will be rejected.
9. Note – Please mention in the subject as “Executive Officer- Bioinformatics”.

Emoluments(fixed): Rs. 50,000/pm

Essential Qualification: Professional with M.Sc./M.Tec/ ME/MS in Bioinformatics or equivalent Master degree in Bioinformatics from UGC recognized institute/ universities with minimum 2 years of experience preferably in Bioinformatics, Design and analysis of algorithms, Web-based programming, Structural bioinformatics, Quantitative techniques, Numerical and biostatistical methods.

Date of Interview at ICAR for Bioinformatics Graduates : 26.09.2023

Reporting Time: 9:00AM

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Possible Interview Q & A:

1. Question: Can you briefly explain your academic background and how it relates to the field of Bioinformatics?
   Answer: I hold a Master’s degree in Bioinformatics from a UGC recognized institute. My academic background has provided me with a strong foundation in computational biology, data analysis, and programming, which are essential skills in this field.
2. Question: What specific projects have you worked on that demonstrate your experience in Bioinformatics?
   Answer: One of the projects I worked on involved analyzing next-generation sequencing data to identify genetic variants associated with a specific disease. I also contributed to the development of a web-based tool for visualizing protein-protein interaction networks, showcasing my skills in web-based programming and data visualization.
3. Question: Can you discuss your experience with designing and analyzing algorithms in the context of Bioinformatics?
   Answer: During my previous role, I developed algorithms to predict protein structure and function. I utilized various bioinformatics tools and programming languages like Python and R to create efficient algorithms that could handle large datasets.
4. Question: How do you stay updated with the latest advancements in the field of Bioinformatics?
   Answer: I regularly follow scientific journals, attend conferences, and participate in online forums and communities dedicated to Bioinformatics. Additionally, I am part of a network of professionals where we share and discuss recent developments in the field.
5. Question: Describe a challenging problem you encountered in your previous role related to Bioinformatics, and how did you approach solving it?
   Answer: In one project, we faced the challenge of aligning sequences from diverse species to identify conserved regions. I addressed this by implementing a novel alignment algorithm that could handle the variability in the data effectively, resulting in more accurate results.

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