NIPGR MSc MTech Bioinformatics Short-Term Research Fellowship – Applications Invited
NIPGR MSc MTech Bioinformatics Short-Term Research Fellowship – Applications Invited. MSc. MTech Bioinformatics jobs at NIPGR. Interested and eligible applicants can check out all of the details on the same below
This job expires in
NATIONAL INSTITUTE OF PLANT GENOME RESEARCH
Aruna Asaf Ali Marg, P.O. Box No. 10531, New Delhi – 110 067
ONLINE INTERVIEW
Candidates are invited to
appear before the selection committee in the online interview for filling up the purely temporary position in the scheme of “Short-Term Research Fellowship” programme, under the supervision of Dr. Shailesh Kumar, Scientist, NIPGR. The details of the position are as under:Name of Position: Project Associate-I (PA-I)
No. of Posts: 01 post.
Upper age limit: 35 years.
How to Apply:
The Fellowship amount for the above position is at par with the similar fellowships by DBT/DST. The above position is completely on temporary basis with a maximum duration of three years. The initial appointment will be for a period of one year, which can be curtailed or extended based on the performance of the candidate and discretion of the Competent Authority. NIPGR reserves the right to select the candidate against the above post depending upon the qualifications and experience of the candidate. Reservation of posts shall be as per Govt. of India norms. The position may be terminated any time by giving a month notice by either side. The applicants will have no claim implicit or explicit for consideration against any regular position of NIPGR.
Eligible candidates may apply directly through the link: https://forms.gle/f7UQikpoUGzsaXiK8 for
the interview by uploading the scanned copy of the certificates and marksheets (from class X onwards) at the same link. Last date of upload of application is on or before 15 days after the release of advertisement at NIPGR website. The shortlisted candidates will be informed through e-mail and the list of the same shall also displayed on NIPGR website. A web-link with date and time of online interview will also be emailed to the shortlisted candidates.
All candidates must ascertain their eligibility before applying, as ineligible candidates will not be interviewed.
Note: No TA/DA will be paid for attending the interview. For any clarification, candidate may contact Scientist-In-Charge through email only: at [email protected].
Dr. Shailesh Kumar
Scientist
National Institute of Plant Genome Research (NIPGR)
P.O. Box No. 10531, Aruna Asaf Ali Marg
New Delhi – 110 067
Email: [email protected].
Qualification: Candidates fulfilling the eligibility criteria mentioned in the DST-OM SR/S9/Z05/2019 dated July 2020 and having a M. Sc./M. Tech. degree (with minimum of 60% marks or equivalent CGPA) in Bioinformatics are eligible to appear for interview. If the candidate does not have master’s degree in bioinformatics, then M.Sc. and, at least six months research experience in the field of bioinformatics and data sciences will be required to shortlist the candidate for interview.
Check the notification below
Here are five possible interview questions along with their answers for the Project Associate-I (PA-I) position:
1. Question: Can you provide a detailed overview of your experience in bioinformatics and data sciences, and how it aligns with the requirements of the Project Associate-I role in this research program? Answer: Certainly. I hold a Master’s degree in Bioinformatics with a strong academic record, exceeding the required 60% marks. Additionally, I have actively engaged in bioinformatics research and projects during my academic journey, gaining hands-on experience in data analysis, interpretation, and visualization. I have successfully worked on projects involving genomics, proteomics, and data-driven biological insights. This background equips me to contribute effectively to the goals of the Short-Term Research Fellowship program.
2. Question: The position requires proficiency in data analysis and bioinformatics tools. Can you discuss a specific project or research experience where you utilized these skills to draw meaningful conclusions? Answer: Certainly. During my master’s program, I collaborated on a research project aimed at deciphering gene expression patterns in a specific disease model. I employed various bioinformatics tools and techniques to analyze large-scale omics data, identify differentially expressed genes, and uncover potential biomarkers. Through comprehensive data mining and statistical analysis, we successfully linked specific gene clusters to disease progression. This experience highlights my ability to leverage bioinformatics tools for impactful research outcomes.
3. Question: How familiar are you with the DST-OM SR/S9/Z05/2019 guidelines, and how do you meet the specified eligibility criteria for this role? Answer: I am well-acquainted with the DST-OM guidelines and the specific criteria outlined in the mentioned notification. I hold a Master’s degree in Bioinformatics, meeting the academic qualification requirement with distinction. While I don’t possess a master’s degree in a different field, I do bring substantial research experience in bioinformatics and data sciences, exceeding the stipulated minimum of six months. This practical exposure validates my eligibility to be shortlisted and interviewed for the Project Associate-I position.
4. Question: The role emphasizes short-term research fellowship. Could you discuss your approach to managing and delivering research outcomes within a limited time frame? Answer: Absolutely. Short-term research projects necessitate efficient planning and execution. I am skilled at setting clear research objectives, designing streamlined workflows, and leveraging advanced computational tools to accelerate data analysis. I prioritize tasks, optimize processes, and maintain effective communication within the research team. By employing agile research methodologies, I ensure that milestones are met, and meaningful insights are generated even within constrained time frames.
5. Question: Can you elaborate on a situation where you encountered a challenging data analysis problem and describe how you tackled it to arrive at a solution? Answer: Certainly. During a project involving metagenomic data analysis, I encountered complex data sets with diverse microbial species. The challenge was to identify specific taxonomic patterns and functional pathways accurately. I adopted a systematic approach by preprocessing the data, applying advanced statistical techniques, and employing machine learning algorithms for classification. Through iterative refinement and validation, I successfully delineated distinct microbial communities and their potential roles. This experience highlights my problem-solving abilities and adaptability in complex bioinformatics scenarios.
These answers are provided as examples. Feel free to personalize and adapt them based on your own experiences and qualifications. Good luck with your interview!
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