inStem Life Science Job – Molecular Bio Research Assistant – Apply Online
inStem Life Science Job – Molecular Bio Research Assistant – Apply Online. instem Vacancies for MSc Life Science/Molecular Biology/ Bioinformatics candidates. Interested candidates are requested to check out all of the details regarding the opportunity, eligibility criteria, application procedure, timelines and more below.
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inStem vacancy Details
Advt No.10/2020 : Job Opening Research Assistant RA-03
Job Opening RA-03 (All candidates should list this number in their application to be taken into consideration).
TIGS-CI is seeking applications from enthusiastic research assistants to join the vector ecology and population genetics team at the Tata Institute for Genetics and Society, Bangalore. The successful applicant will join an established research group working on fundamental and applied aspects of mosquito population genetics. Our primary goal is to understand the role of vector ecology and genetics in pathogen transmission dynamics. Using fine-scale landscape genetics, we explore the relationships between heterogeneous landscape features and genetic variation in vector populations. With molecular, ecological and landscape data, together with computational, and analytical approaches, we want to quantify the effects of landscape on gene flow in vector populations whichwill help to understand of how the vector-borne diseases spread.
How to Apply for inStem vacancy:
If you are interested in applying for this research position, please send out the following documents, with a clear reference to the job number listed above and addressed to the following email address: [email protected].
- Cover letter with CV with email, phone and contact information of 3 referees.
- Why you need to be hired for this position and research interests (one-page max).
Please note, e-mails with only attached CV will NOT be considered. (Applicants should list Job no RA-03 in their application to be taken into consideration).
Application Deadline: July 25, 2020.
Roles and Responsibilities:
The role will be to provide bioinformatics support using available software packages (commercial and open access) to underpin the processing, analysis and visualisation of genomic data arising from mosquito populations using combination bioinformatics and statistical approaches.
- Master’s degree in bioinformatics, molecular biology, life-sciences or related discipline or equivalent.
- Experience with bioinformatics analysis and a strong computational background.
- Proficiency in computer scripting (e.g. Python, Perl, R) is required.
- A good understanding of evolutionary genetics and phylogenetic reconstruction.
- Ability to work both as part of a team, and independently, coupled with superb communication, organizational and problem-solving skills are required.
Duration: Originally for 4 months and extension for a year based on the satisfactory review.
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