Advt No.11/2020 : Appointment of a Graduate Trainee - Theoretical/Computational Biologist in the lab of Dr. Shaon Chakrabarti on Contract Basis

Job description:

We are seeking a candidate who is interested in working on exciting problems at the intersection of cell biology and theoretical/computational biology. Questions of interest will be largely centered around understanding and modeling cell proliferation, in diverse contexts such as development and disease. More details on research interests of the lab can be found here: https://www.ncbs.res.in/faculty/shaon

The job responsibilities will involve developing and implementing one or a combination of mathematical, computational, bioinformatics, and machine-learning methods. The candidate will be expected to work closely with a variety of experimental data types from publicly available datasets and data generated within the lab. If interested, the candidate will also have the opportunity to learn wet lab techniques such as cell culture and live/fixed-cell microscopy.

Qualification & Experience required:

  • M.Sc. in any branch of Science or MCA or B.Tech/BE or M.Tech/ME with aggregate 60% of marks from a recognized university.

  • Some background in computer programming in any language is required.

  • Prior project experience in bioinformatics/computational/theoretical biology will be given preference.

  • Maths/Physics/Computer Science/Engineering backgrounds will be favorably considered.

Number of position: 1

Contract term: The position will be for 1 year subject to a performance review after 3 months. At the end of the first year, there will be potential for extending the contract by one more year.

Age limit: 40

Salary offered: 31000 + 24% HRA

How to apply: Interested applicants are requested to apply with their CV and a statement of research interest (~300 words) pertinent to the position by September 30th, 2020. Applications may be sent to shaon@ncbs.res.in as one pdf file. Please mention the advertisement number in the subject line. Incomplete applications will not be considered. Shortlisted applicants will be invited for an online interview which may comprise multiple rounds to assess the candidate’s fit for the position.

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