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Tuesday, 28 July 2020

NIBMG Recruitment 2020: Request Technical Specialist, Data Analyst and other Post

NIBMG Recruitment 2020: Request Technical Specialist, Data Analyst and other publications
NIBMG Recruitment 2020: Request Technical Specialist, Data Analyst and other publications


National Institute of Biomedical Genomics (NIBMG) Job Notification 2020:  -
National Institute of Biomedical Genomics (NIBMG) has invited applications for the Technical Specialist, Data Analyst and other posts. Eligible and interested persons can apply for NIBMG Recruitment 2020 through the prescribed application format on or before 11 August 2020.

The National Institute for Biomedical Genomics is looking for bright and motivated minds in the fields of Genomics Systems Medicine Cluster (SyMeC): Accelerating Systems Medicine using a Cluster Approach We are looking for bright and motivated individuals interested in exploring career opportunities in this innovative initiative of multi-organization in Systems Medicine at NIBMG in the positions mentioned below.

National Institute of Biomedical Genomics (NIBMG) Job Notification 2020:  - Full Information

National Institute of Biomedical Genomics (NIBMG) Technical Specialist, Data Analyst and other Vacancy Details 2020 
Post Name - 
Technical Specialist: 04 Posts
Computational Laboratory Manager: 01 Post
Data Analyst: 02 Posts
Project Coordinator (Administration): 01 Post
Last filing date for application forms: August 11, 2020

Technical Specialist, Data Analyst and other Job Eligibility Criteria -

Technical Specialist: - (1) M.Sc or equivalent (or B.Sc with 03 years laboratory experience) in Genetics / Life Sciences / Biochemistry / related discipline.
(2) Minimum 03 years of experience of working with high-throughput genomics platforms.

Computational Laboratory Manager: - : (1) PhD in Statistics, Computer Science, Computational Biology or related discipline.
(2) Minimum 03 years of experience of working in large statistical / big data / genomics projects / consultancy.

(3) Experience in management of computational laboratory.

(4) Demonstrated knowledge of computer programming and data management.

(5) Strong letters of recommendation from previous employers / supervisors.

Data Analyst: (1) B.Tech/M.Tech/M.Sc or equivalent in Computer Science / Computer Applications / Bio informatics or a related discipline.
(2) High proficiency in programming in C / C ++, Java or python.

(3) Proficiency in UNIX command line scripting.

(4) Prior experience in high-throughput data (NGS) analysis.

(5) Strong communication skills and the ability to work as part of the team is essential.

Project Coordinator (Administration): - M.Sc or equivalent in Life Sciences or related subject.


How to Apply for NIBMG Recruitment 2020:  
Eligible and interested individuals can apply for the NIBMG Recruitment 2020 through the prescribed application form no later than August 11, 2020. These positions are contractual and appointments will be initially awarded based on project duration, extendable based on performance and project requirements. Apply online at https://apply.nibmg.ac.in. The last application date is August 11, 2020 until 05:00 p.m. Visit the official website www.nibmg.ac.in for more information. Only shortlisted people will be called for an online interview. In exceptionally meritorious cases, the competent authorities can relax the eligibility requirements relaxed by the competent authority.

Important Link - 






Technical specialist job description - Technical experts provide technical support for programs and applications to both customers and other staff members within the company. Technical experts train customers and company staff on applications and products, and advise them on best practices for using applications and technical programs.

Data Analyst  - A data analyst interprets the data and converts it into information that can offer ways to improve a business, affecting business decisions. Data analysts collect information from various sources and interpret patterns and trends, so a description of the data analyst's job should highlight the analytical nature of the role.







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