Research Scientist - Bioinformatics 1 Opening(s)
Experience: 2 - 7 Years
Location: Hyderabad / Secunderabad
Education: UG - B.Sc - Any Specialization PG - M.Sc - Any Specialization
Desired Candidate Profile
• PhD in plant biology, genetics, biochemistry or physiology with experience in analyzing diverse –omics datasets and a good publication record. Masters candidates with relevant experience will be considered.
• Good understanding of cellular signaling and/or biochemical pathways in plants
• Ability to formulate research plans in a collaborative environment
• Critical thinking and scientific rigor
• Excellent verbal and written communication skills
• Good understanding of cellular signaling and/or biochemical pathways in plants
• Ability to formulate research plans in a collaborative environment
• Critical thinking and scientific rigor
• Excellent verbal and written communication skills
Job Description
We are looking for candidates who have expert knowledge and research experience in plant biology, genetics, biochemistry or physiology with strong analytical skills and inclination towards analysis of high-throughput –omics datasets. The Research Scientist will be primarily responsible for analyzing diverse types of computational and experimental data and generating hypotheses for experimental validation. The candidate will be part of a diverse team of experimental biologists, computational biologists and software developers. A critical aspect of this position involves working with global teams across multiple locations and will require effective project coordination and communication skills. This is an exciting opportunity for biologists who want to work at the interface of computational and experimental biology and contribute towards scientific discovery.
Responsibilities:
• Understand the research questions from experimental biologists and formulate relevant in silico analyses
• Critically analyze a wide variety of experimental and computational data with a view to solving the underlying research questions
• Generate hypotheses from in silico analyses and evaluate the errors and gaps in the evidences supporting the hypotheses
• Identify and generate datasets for scientific testing and evaluation of algorithms developed within the group
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