Discovery Bioinformatics Methodologist Role at Syngene

Discovery Bioinformatics Methodologist Role at Syngene


Designation: Research/Senior Investigator

Position: Discovery Bioinformatics Methodologist


Job Location: Bangalore

Department: Informatics and Predictive Sciences (BBRC-IPS)


About Syngene :

Incorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical industries around the world. Syngene’ s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA and Herbalife. Its innovative culture is driven by the passion of its 4240- strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market and lower the cost of innovation.


Job Purpose :

  • We are seeking innovative scientists for Research Scientist / Senior Research Scientist position to join our Informatics and Predictive Sciences (BBRC-IPS) group that is a part of main Discovery Biology and Translational Sciences (DBTS) team.
  • The group works on real-world health data, design experiments and analyze both pre-clinical and clinical -omics data sets, including Exome, Whole Genome Sequencing, RNA-Seq, single-cell sequencing, high-throughput proteomics, multiplex flow cytometry, CRISPR etc. to nominate novel drug targets, enable patient enrichment strategies, and guide drug development decisions.

Key Responsibilities:

  • Identify and implement state-of-the-art statistical methods for data exploration, visualization, analysis, and integration of cancer genomics/epi-genomics, and other forms of high-dimensional – omics data for patient clinical outcomes
  • Develop and evaluate performance of existing or new assays through statistical inferences
  • Interpret quality control data metrics in NGS methodology and communicate effectively with the team and the respective stakeholders
  • Participate in experimental design and determine strategies for balanced representation of samples
  • Perform biomarker selection and stratification through strong statistical based evidence
  • Collaborate closely with others on translational research teams to evaluate, develop, and apply cutting-edge methods for analysis of multi-modal, high-dimensional -omics data

Technical/functional Skills:

  • Expertise in algorithmic implementation, statistical programming, and data manipulation, using e.g., R or Python, and contemporary, open-source bioinformatics tools and database structures
  • Solid grounding in statistical theory and familiarity with recent developments in statistics
  • Skilled at working with large omics data sets (transcriptomic, genomic, proteomic, and/or epigenomic data), whole genome sequencing, whole exome sequencing.
  • Strong experience in cancer genomics and epi-genomics is required
  • Proficient with high-performance computing environments like cloud computing
  • Working knowledge of workflow languages for example: CWL or Nextflow

Behavioural Skills :

  • Strong problem-solving and collaboration skills, and rigorous and creative thinking
  • Excellent written and oral communication skills, including an ability to discuss and explain complex ideas with computational scientists, experimentalists, and clinicians
  • The ability to work across organizations to define and solve problems that will benefit the whole.
  • Capable of establishing strong working relationships across the organization.
  • Enjoy collaborating to solve challenging problems at the intersection of modern statistics and medicine to help bring new medicines to patients.

Educational Qualification:

Ph.D. or master’s degree in Biotechnology, Bioinformatics, Statistics, Computer or Data Science, Computational Biology, or related technical discipline

  • 5+ years of experience in pharma/biotech research environment preferable
  • 5+ years of experience in university, hospital or biotechnology environments


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