ICAR-NAARM Bioinformatics Job Opening – Attend Walk-In-Interview
ICAR-NAARM Bioinformatics Job Opening – Attend Walk-In-Interview. MSc Bioinformatics Young Professional job opening at ICAR-NAARM. Interested and eligible applicants can check out all of the details on the same below
Possible interview questions for the Young Professional-II position at ICAR-NAARM are posted below
This job expires in
ICAR – National Academy of Agricultural Research Management
(ISO 9001:2015 Certified)
Rajendranagar, Hyderabad – 500 030, Telangana, India.
https://naarm.org.in
F.No.2-523/2016/A.I./Vol.XII
WALK-IN-INTERVIEW
Candidates fulfilling the following eligibility criteria are invited to attend Walk-in-interview for hiring as Young Professional-II (two positions) on a contractual/short-term basis (purely temporary) to work in different Sections at ICAR-NAARM, Rajendranagar, Hyderabad-500 030, Telangana. The eligibility criteria and other terms and conditions for the positions are as under:
Name of the Post: Young Professional-II
No. of Posts: 01
Name of the Project: ICM Division
Duration: Young Professional-II will be engaged initially for 01 year which is extendable for two more years based on performance to be assessed by the Unit In-Charge and continuation of the schemes/requirement.
Age Limit: The minimum age under the Young Professional-II category will be 21 years and a maximum of 45 years as of the date
of walk-in-Interview with relaxation as per rules.Mode of Engagement: Purely on a Contract (Temporary) basis
How to Apply:
- All eligible candidates are advised to be present at least one hour before the scheduled time on the date of the Interview for completing the certificate verification formality. No entry/registration will be entertained after 10.00 A.M.
- The positions are purely temporary and will be filled on a contractual basis till the termination of the scheme or as per the need, whichever is earlier. Duration of engagement can be curtailed/extended as per need and subject to the performance of the candidate.
- Already employed candidates should provide NOC from their present employer, failing which, they will not be allowed to attend Walk-in-interview.
- The candidate should bring a hard copy of the duly filled-in application form, the latest passport-size Photograph and Original documents along with experience certificate(s) if any, at the time of the interview.
- Non-production of any of the original certificates for verification at the time of the Interview is liable to rejection of candidature. Any candidate who has deposited original certificates with the College / University / Employer should produce Custodian Certificate.
- The appointment of the selected candidate will be subject to the condition that he/she is declared medically fit for service by the prescribed Medical Authority.
- No TA/DA will be paid to the candidates for attending the interview.
- If the turnover for walk-in-interview is more, the Academy may consider extending the date of the interview to the next day and also having a written screening test.
- Candidates are required to make the food arrangements on their own.
- The Candidates must follow the COVID-19 guidelines prescribed/issued by MHA / MH&FW, Govt.of India and local authorities at the time of walk-in-interview :
(i) Wearing of mask
(ii) Physical distancing
(iii) Use of sanitiser and frequent hand washing with soap and water - Director, ICAR-NAARM reserves the right to increase/decrease the number of vacancies as per requirement.
- The decision of the Director, ICAR-NAARM / Principal Investigator of the project will be final and binding in all aspects.
Interview date & time proposed to be held on: 21/06/2023 9.15 AM
Emoluments: Rs. 35,000/- (Fixed) per month
Essential Qualifications: Master’s degree in Computer Science/ Bioinformatics.
Job Description/ Desirable Qualification: Minimum 2 years experience in computer programming knowledge in Python/PEARL/R languages and computational biology along with knowledge of database management and knowledge on Bioinformatics tools.
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Possible interview questions for the Young Professional-II position at ICAR-NAARM:
- Can you explain your experience and knowledge in computer programming languages such as Python, PEARL, and R? How have you applied these skills in the field of computational biology? Answer: I have a Master’s degree in Computer Science/Bioinformatics and have acquired a strong foundation in computer programming languages. I have utilized Python, PEARL, and R to analyze biological data, develop algorithms, and implement computational solutions. For example, I have used Python to process genomic sequences and perform statistical analysis on biological datasets.
- Describe your experience with database management in the context of computational biology. What databases have you worked with, and how have you utilized them in your previous projects? Answer: I have practical experience in managing databases for computational biology projects. I have worked with databases such as NCBI GenBank and UniProt to retrieve and organize biological information. Additionally, I have designed and implemented custom databases to store and query experimental data for efficient analysis and interpretation.
- Can you discuss your knowledge of bioinformatics tools and their applications? Provide examples of how you have utilized bioinformatics tools to address specific research questions. Answer: I have a strong understanding of various bioinformatics tools and their applications in biological research. For instance, I have utilized tools like BLAST and ClustalW for sequence alignment and phylogenetic analysis. I have also used tools like DESeq2 and Limma for differential gene expression analysis in RNA sequencing data. These tools have helped me gain insights into genetic relationships and identify key genes associated with specific biological processes.
- How have you demonstrated your problem-solving skills in the field of computational biology? Can you provide an example of a challenging problem you encountered and how you approached its resolution? Answer: During my previous research project, I encountered a challenge in analyzing large-scale genomic data. The dataset contained complex genomic variations, and I needed to identify potential disease-causing mutations. To address this, I developed a customized algorithm using Python that integrated various statistical and machine learning techniques. This algorithm enabled me to effectively filter and prioritize the variants, leading to the identification of potential disease-associated mutations.
- In your opinion, what are the key considerations when working with computational biology and bioinformatics in a research setting? How do you ensure the accuracy and reliability of your analyses? Answer: Accuracy and reliability are crucial in computational biology and bioinformatics. It is essential to ensure the quality of input data, perform rigorous preprocessing, and validate the results using appropriate statistical methods. Regular cross-validation and benchmarking against known datasets are important for assessing the performance of computational tools. Additionally, keeping up-to-date with advancements in the field, participating in peer reviews, and collaborating with domain experts contribute to the accuracy and reliability of the analyses.
Note: These are sample questions and answers, and it is recommended to tailor them based on the specific requirements of the ICAR-NAARM Young Professional-II position.
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