IISER Pune Life Sciences Project Scientist Recruitment, Applications Invited

IISER Pune Project Scientist For Life Sciences Recruitment, Applications Invited

IISER Pune Project Scientist For Life Sciences Recruitment, Applications Invited. Project Scientist Vacancy for PhD in Life sciences candidates. 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

ADVERTISEMENT NO.: 15/2023

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 – 01 (One)

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 a 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 as of the last date of submission of application.

How to Apply –

• 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 April 15, 2023. Please mention “Project Scientist-I and Advt. No. 16/2023” in the subject line of the email.
• 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.
• The 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 colour 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. Age relaxation commensurate with the educational qualification/s and/or experience/s of the applicant may be considered for candidates having qualifications and experience higher than the advertised with the prior approval of the competent authority.
8. In case, a selected candidate does not join or resigns after joining the post, waitlisted
   candidate/s may be offered the position.
9. No TA/DA will be admissible for appearing for the interview.
10. No interim enquiries/correspondence/communication of any sort will be entertained on the matter.
11. Bringing any influence, political, or otherwise, will be treated as a disqualification for the post applied for.

Minimum Educational Qualification – Ph.D. in Life sciences / Physics / Chemistry / Computer Science / related disciplines.

Preference –

Candidates having the following will be preferred:

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

Job Requirements – 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. 56,002/- + 24% House Rent Allowance

Click here to download the application format

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!

1. Can you describe your experience with algorithm development and how it relates to computational structural biology?
   Answer: Sure, during my PhD research, I worked on developing algorithms for predicting protein-protein interactions using computational methods. I also have experience in developing algorithms for analyzing large-scale biological data sets.
2. How do you stay up to date with the latest developments in computational structural biology and data science?
   Answer: I regularly attend scientific conferences and workshops related to my field, read research papers, and follow the latest advancements in computational structural biology and data science through online forums and professional networks.
3. Can you describe your experience working with databases of molecular interactions?
   Answer: I have experience in creating and curating databases of molecular interactions using various computational tools and techniques. I have also worked on predicting and analyzing interaction kinetics with structural information.
4. Can you walk us through your approach to developing algorithms for predicting networks of interacting biomolecules?
   Answer: My approach generally involves analyzing and integrating various data sources, such as protein-protein interaction databases and structural information, to build predictive models. I also incorporate machine learning techniques to improve the accuracy of the predictions.
5. How do you manage your time and prioritize tasks in a fast-paced research environment?
   Answer: I have a systematic approach to managing my workload, which involves breaking down tasks into smaller, manageable units and setting realistic deadlines. I also communicate regularly with my team members and the project investigator to ensure that I am on track with the project goals and objectives.

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