IISER Pune Project Scientist Job With Rs. 56,000 pm Pay For Biotech, Biochem, Life Sciences & Bioinformatics

IISER Pune Project Scientist Job With Rs. 56,000 pm Pay For Biotech, Biochem, Life Sciences & Bioinformatics

IISER Pune Project Scientist Job With Rs. 56,000 pm Pay For Biotech, Biochem, Life Sciences & Bioinformatics. Project Scientist Vacancy for PhD Bioinformatics / Biotechnology / Biochemistry / Life Sciences Candidates. Interested and eligible applicants can check out all of the details on the same below

Looking for some inspiration for the interview process? If you want to apply for the Project Scientist post at IISER Pune then make sure to prepare yourself with interview questions and answers as given below

This job expires in

ADVERTISEMENT NO.: 31/2023

Purely on Temporary and Contractual Basis

The Indian Institute of Science Education and Research (IISER) Pune is a premier institute dedicated to research and teaching in the basic sciences. It was established in 2006 by the Ministry of Human Resource Development (renamed Ministry of Education in August 2020). In 2012, IISER Pune was declared as an Institute of National Importance by an Act of Parliament.

Institute invites applications from Indian nationals for the following post purely on temporary and contractual basis:

Name of the Post – Project Scientist – I

No. of Posts

Name of the Project – “The structural and functional annotations of biological networks with special emphasis on Mycobacterium tuberculosis – BIC at IISER Pune”

Funding Agency – Department of Science and Technology (DST)

Project Code – 30821593

Tenure of the appointment – Initially for a period of six months extendable for further period subject to continuation of the project and satisfactory performance of the incumbent.

Upper age limit as of the last date of application – Not more than 35 years. Age relaxation commensurate with educational qualification/s and / or experience/s of the applicant may be considered for candidates having qualification and experience higher than the advertised with the prior approval of the competent authority.

How to Apply –

1. Interested candidates should send the application by email in the prescribed format available below advertisement by email (convert into PDF Format) addressed to [email protected] on or before 13.07.2023. Please mention “Project Scientist-I and Advt. No. 31/2023” in the subject line of the email.
2. A list of shortlisted candidates for the selection process with date, time and other details will be put up on the institute website below this advertisement and candidates will be informed by e-mail only.
3. Following will be collected and verified at an appropriate stage:
   a) Photocopies of relevant certificates and other testimonials in support of age, educational qualifications, experiences etc.
   b) Recent passport size color photograph.

General Information/Details about the post –

1. The appointment is purely temporary and will terminate automatically without any notice or compensation on the termination of the project.
2. The appointed person shall have no claim of appointment/absorption in the Funding Agency or in IISER Pune.
3. The appointment of the applicant will be governed by the terms and conditions of the funding agency particularly applicable to the said project.
4. The prescribed date for determining the upper age limit, educational qualifications or experience shall be the last date for submitting applications.
5. The prescribed educational qualification should have been obtained from recognized Universities / Institutions.
6. The prescribed educational qualification/s are the bare minimum and mere possession of the same does not entitle candidates to be called for an interview. Where the number of applications received in response to this advertisement is large, it may not be convenient or possible to interview all the candidates. Based on the recommendations of the Screening Committee, the Project Investigator may restrict the number of candidates to be called for the interview to a reasonable limit after taking into consideration minimum educational qualifications and experience over and above the minimum prescribed in the advertisement. Therefore, it will be in the interest of the applicants, to mention all the educational qualifications and experience in the relevant field at the time of applying.
7. In case, a selected candidate does not join or resigns after joining the post, waitlisted
   candidate/s may be offered the position.
8. No TA/DA will be admissible for appearing for the interview.
9. No interim enquiries/correspondence/communication of any sort will be entertained on the matter.
10. Bringing any influence, political, or otherwise, will be treated as a disqualification for the post applied for.

Minimum Educational Qualification – Ph.D. in Bioinformatics / Biotechnology / Biochemistry / Life Sciences / Physics / Chemistry / Computer Science / or related disciplines.

Preference –

Candidates having the following will be preferred –

1. Familiarity with computational structural biology and data science.
2. Demonstrable experience in bioinformatics software and algorithm development.
3. Competent programing ability in Python/C++.

Job Requirements –

The incumbent is expected to do the following:

1. Creating/curating/maintaining databases of molecular interactions.
2. Assimilate/predict data on interaction kinetics with structural information.
3. Developing algorithms in the general area of computational structural biology and to predict about networks of interacting biomolecules.

Consolidated emoluments – Rs. 56,000/- + 24% House Rent Allowance

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Looking for some inspiration for the interview process? If you want to apply for the Project Scientist post at IISER Pune then make sure to prepare yourself with interview questions and answers as given below

1. Can you explain your experience and expertise in computational structural biology and data science? How have you applied this knowledge in your previous research or projects?
   • Answer: I have a strong background in computational structural biology and data science. During my Ph.D., I worked on analyzing protein structures and predicting their interactions using computational methods. I have also developed algorithms to analyze complex biological networks and extract meaningful information from them.
2. Could you provide an example of a bioinformatics software or algorithm that you have developed or used in your research? How did it contribute to your understanding of biological networks?
   • Answer: One example is the software I developed for predicting protein-protein interactions based on structural information. By analyzing the three-dimensional structures of proteins and their binding sites, the algorithm could accurately predict potential interaction partners. This helped in understanding the underlying molecular mechanisms and identifying key components of biological networks.
3. How familiar are you with molecular interaction databases? Can you discuss your experience in creating, curating, or maintaining such databases?
   • Answer: I have extensive experience in working with molecular interaction databases. In my previous projects, I have curated and maintained databases of protein-protein interactions and other molecular interactions. This involved collecting data from various sources, organizing it, and ensuring its accuracy and accessibility for further analysis.
4. Can you describe your programming skills in Python and/or C++? How have you utilized these programming languages in your research or software development?
   • Answer: I have strong programming skills in both Python and C++. In my research, I have used Python extensively for data analysis, algorithm implementation, and visualization of results. I have also developed bioinformatics software tools using Python and C++ to handle large datasets and optimize computational processes.
5. How do you approach the prediction of biomolecular networks using computational methods? Can you discuss any specific challenges you have encountered and how you overcame them?
   • Answer: When predicting biomolecular networks, I follow a systematic approach that involves integrating various data sources, applying statistical and machine learning techniques, and considering structural information. One challenge I faced was dealing with incomplete or noisy data, which required implementing data filtering and validation strategies. I also encountered the challenge of scalability when dealing with large-scale networks, and I overcame it by optimizing algorithms and utilizing parallel computing techniques.

Note: The answers provided here are for reference and can be customized based on the individual’s actual experience and expertise

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