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Principal Scientist Bioinformatics/Computational Biology


Global Talent Exchange


Location

Bangalore | India


Job description

Client : One of the leading India-based contract research organisations, offering a suite of integrated, end-to-end discovery, development and manufacturing services for novel molecular entities across industrial sectors including pharmaceutical, biotechnology, agrochemicals, consumer health, animal health, cosmetic and nutrition companies.

Job Purpose

The incumbent will leverage a deep understanding of computational biology approaches and combine

bioinformatics, multi-omics analyses, data analytics for life sciences and healthcare applications.

Key Responsibilities

  • Deliver bioinformatics applications and integrative solutions to complex problems in pharma and other

domains

  • Perform multiomics data processing, assembly, analysis, reporting and integrative analysis to answer

biological questions, inform clinically meaningful insights

  • Work with bioinformaticians, data scientists and software engineers to scale and strengthen computational

approaches, from the R&D lab through to deployment as high-throughput reproducible workflows

  • Execute protein bioinformatics tasks including sequence database searches, preparing research literature

summaries, protein and nucleotide sequence alignments, and phylogenetic analysis.

  • Monitor projects, milestones, and deliverables to ensure completion on time and within specification

Educational Qualification

PhD or equivalent experience in Bioinformatics/Computational Biology/Computational Genomics or related

discipline

Technical/functional Skills

  • Proven track record of developing solutions that combine omics, molecular biology, statistics and

bioinformatics algorithms.

  • Experience in statistical analysis and bioinformatics methods/tools/databases
  • Outstanding command of statistics, quantitative data analysis and complex data visualization
  • Experience in analyzing multiple biological data modalities, including genomics, epigenomics, proteomics,

transcriptomics, metagenomics

  • Working knowledge of content, analysis methods and applications used in therapeutic discovery,

preclinical research, translational medicine and clinical science domains

  • Knowledge of systems modeling approaches

Experience

7+ years of relevant work experience

Behavioral Skills

 Results-oriented individual who thrives in collaborative multi-disciplinary teams

 Excellent management skills, including the ability to set goals, define priorities, manage individual /

team performance, organize people and activities to achieve goals

 Project/Team leadership experience with ability to communicate with customers and internal

stakeholders

 Proven ability to mentor and develop a team, providing coaching, opportunities to develop skills,

constructive and timely feedback on performance/progress toward goals/expectations


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