VIT Vellore Bioinformatics PhD Job – Computational Biology PhD Job
VIT Vellore Bioinformatics PhD Job – Computational Biology PhD Job. PhD Bioinformatics, Computational Biology research associate job opening at VIT Vellore. Interested and eligible applicants can check out all of the details on the same below:
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Applications invited for the post of “Research Associate I” for an ICMR funded project. Research Associate Job At VIT For PhD Candidates – Applications invited. Interested Candidates check out the details below and Apply Online.
Name of the Post: Research Associate I
Job Location: VIT, Vellore, Tamil Nadu, India
Project title: “To identify a novel target compound to inhibit the OXA β-Lactamases causing extremely drug-resistant hospital-acquired infections” FILE NO. OMI/11/2020-ECD-I
Principal Investigator: Dr. C. George Priya Doss, Associate Professor, Integrative biology Lab, School of Bioscience and Technology.
Duration: 6 months
Number of post: One
Sponsoring agency: ICMR
How to Apply:
Send your resume along with relevant documents pertaining to the details of qualifications, Experience and latest passport size photo etc. on or before 15-09-2023 through online
- No TA and DA will be paid for appearing in the interview.
- Shortlisted candidates will be called for an interview (preferably by on-line mode) later
Which will be intimated by email.
Stipend: Rs. 47,000 per month+ 9% HRA
Required skills: Preferably candidates with 2 years of experience in modern laboratory omics workflows for genome sequence analysis, and molecular docking and dynamics. Sound proficiency in Python, PERL or R. Expertise in standard tools of NGS/Transcriptomic analysis. Additionally good communication and writing skills.
Qualification: PhD or 3 years of experience as SRF in Computer science, Bioinformatics & Computational Biology
Here are five Possible interview questions and sample answers for the Research Associate I position :
1. Can you explain your experience with modern laboratory omics workflows for genome sequence analysis and molecular docking/dynamics?
Sample Answer: In my previous role as a Research Associate, I actively contributed to projects involving modern omics workflows. I have hands-on experience in genome sequence analysis, where I applied advanced techniques to decode genetic information. Additionally, I’ve worked extensively on molecular docking and dynamics simulations to understand interactions between molecules at the atomic level. These experiences have equipped me with the skills needed to identify potential compounds to inhibit drug-resistant infections, aligning with the project’s goals.
2. How proficient are you in programming languages like Python, PERL, or R, and how have you used them in your research?
Sample Answer: I have a strong proficiency in programming languages like Python, PERL, and R, which are essential for bioinformatics and computational biology tasks. I have utilized these languages to develop custom scripts and pipelines for analyzing large-scale genomics and transcriptomics data. These scripts enabled me to process and interpret complex data, facilitating our research in understanding the mechanisms of drug resistance. My programming skills have been a valuable asset in streamlining data analysis workflows.
3. Could you provide an example of a project where you applied NGS/Transcriptomic analysis tools and the outcomes of your analysis?
Sample Answer: Certainly, in a recent project, we aimed to investigate gene expression changes in response to antibiotic resistance. I applied NGS/Transcriptomic analysis tools to analyze RNA-seq data from drug-resistant bacterial strains. The analysis revealed key genes and pathways associated with resistance mechanisms. This information not only provided insights into the molecular basis of resistance but also helped identify potential drug targets. It was a successful application of NGS tools to address critical research questions.
4. How do you plan to contribute to the project’s goal of identifying a novel target compound to inhibit OXA β-Lactamases causing drug-resistant infections?
Sample Answer: I plan to contribute to the project by leveraging my expertise in genomics and computational biology. I will begin by analyzing genomic data from drug-resistant strains to identify candidate genes associated with OXA β-Lactamases. Using molecular docking and dynamics simulations, I will screen potential compounds for their binding affinity to these target proteins. Additionally, I will collaborate closely with the team to prioritize and validate potential compounds through in silico and in vitro experiments. My goal is to contribute to the discovery of a novel target compound that can combat these infections effectively.
5. How do you handle challenges and unexpected setbacks in your research, and can you provide an example of a situation where your problem-solving skills were crucial?
Sample Answer: Research often presents challenges, and I approach them with a systematic problem-solving mindset. In a previous project, we encountered unexpected variations in our sequencing data due to sample contamination. I immediately conducted a thorough data quality check and identified the issue. To address it, I implemented stringent quality control measures and performed data reanalysis. This proactive approach not only salvaged the project but also improved our data integrity. It showcased my ability to troubleshoot and adapt to unforeseen obstacles while maintaining research progress.
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