NIAB Bioinformatics & Computational Biology Project Associate Recruitment, Apply Online
NIAB Bioinformatics & Computational Biology Project Associate Recruitment, Apply Online. National Institute of Animal Biotechnology vacancies. MSc Bioinformatics, Computational project jobs. Interested and eligible applicants can check out all of the details on the same below
Don’t forget to check out possible interview questions for this job below
This job expires in
National Institute of Animal Biotechnology, Hyderabad–500032
(An Autonomous Institute of the Department of Biotechnology)
Advt. No. 13/2023
Applications are invited from suitable candidates to fill the following position at the National Institute of Animal Biotechnology (NIAB), Hyderabad.
Name of the Post: Project Associate-I (PA-I)
No. of Posts: 1 (One)
Name of the Project: DBT-funded project entitled “Validation of DBT-NIAB SNP chip for breed identification and preliminary genome-wide association studies of milk yield”
Name of the PI: Dr. Sandeep Kushwaha, Scientist-E.
Duration: 7 months (extension is subject to availability of funds)
Age: 30 years (Relaxation is admissible in case of SC/ST/OBC candidates as per Government instructions).
Fellowship amount:
- Candidates with NET or GATE or who have undergone a selection process through national-level examinations conducted by Central Government Departments and their Agencies and Institutions will be paid Rs. 31,000/-PM + 24% HRA as per the DST guidelines.
- Candidates who do not fall under (i) above will be paid Rs. 25,000/- PM + 24% HRA as per the DST guidelines.
Eligibility: Master`s degree in Bioinformatics or Computational Biology or Bachelor`s degree in Engineering or Technology or Medicine from a recognized university or equivalent.
Desired Experience: Candidates with experience in next-generation sequence data analysis, Genotyping data handling or GWAS analysis will be given preference.
How to Apply –
Applications are to be filled ONLINE. The online link for the submission of the application is available from 14-04-2023 and the last date is 30-04-2023. Candidates must fill online application form at www.niab.res.in. Candidates are advised to fill the online application form in sufficient time before the last date to avoid last-minute technical issues. Suitable candidates will be screened, intimated through email and interviewed by the duly constituted selection committee online. Original documents in support of date of birth, educational qualifications, and experience certificates must be submitted at the time of joining.
No need to send a hard copy. Interim enquiries will not be entertained
Check the notification below
💡 Here are a few possible interview questions for the above job posting and their answers.
👍We hope this helps in giving you a rough idea as to how to prepare for the interview for this specific role. Good luck!
- What are some bioinformatics techniques that you have experience with? Can you describe how you have applied these techniques in previous projects? Answer: I have experience with next-generation sequence data analysis, genotyping data handling, and genome-wide association studies (GWAS) analysis. In my previous project, I analyzed sequencing data to identify variants and used various statistical methods to perform association studies.
- How familiar are you with SNP chips? Can you discuss the DBT-NIAB SNP chip and how it can be used for breed identification? Answer: SNP chips are microarray devices that are used to genotype single nucleotide polymorphisms (SNPs). The DBT-NIAB SNP chip is specifically designed for breed identification and can be used to analyze genetic variation in animals. It contains thousands of SNPs that are distributed across the genome and can be used to identify genetic markers associated with specific traits.
- Can you walk us through your process of analyzing genotyping data for GWAS studies? Answer: In GWAS studies, genotyping data is analyzed to identify genetic variants that are associated with a particular phenotype. I first process and quality control the genotyping data before using statistical methods to identify genetic markers that are significantly associated with the phenotype of interest. I also use bioinformatics tools to annotate and interpret the results.
- How do you ensure the accuracy and reproducibility of your bioinformatics analyses? Answer: I ensure the accuracy and reproducibility of my analyses by using established bioinformatics pipelines and following best practices in data processing and analysis. I also document my methods and results thoroughly and use version control to keep track of changes to my code and data.
- How do you stay up-to-date with the latest developments in bioinformatics and genomics research? Answer: I stay up-to-date by reading scientific literature and attending conferences and workshops. I also participate in online forums and discussion groups related to bioinformatics and genomics. Additionally, I collaborate with colleagues and mentors to learn about new methods and techniques.
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