Title:  Bioinformatician

JOB DESCRIPTION

Designation:   Associate Scientist
Job Location:  Bangalore
Department:   Computational and Data Sciences

About Syngene
Syngene International Ltd. (BSE: 539268, NSE: SYNGENE, ISIN: INE398R01022), is an integrated research, development and manufacturing services company serving the global pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical sectors. Syngene’s 4500+ scientists offer both skills and the capacity to deliver great science, robust data management and IP security and quality manufacturing, at speed, to improve time-to-market and lower the cost of innovation. With a combination of dedicated research facilities for Amgen, Baxter, Bristol-Myers Squibb and Herbalife, as well as 1.9 Mn sq ft of specialist discovery, development and manufacturing facilities, Syngene works with biotech companies pursuing leading edge science as well as multinationals including GSK and Merck KGaA.

Syngene's computational and data sciences solutions enable informed decisions for research and development. We are an interdisciplinary group of scientists with expertise across computational biology, computational chemistry, data sciences and research informatics. We help resolve complex drug discovery problems from target identification and hit identification to lead optimization and translational insights.

Job Summary: We are seeking a highly skilled and experienced bioinformatician to join our team. The ideal candidate will have a proven track record in multi-omics data analysis, pipeline automation, and integrative data analysis. They will be responsible for designing and implementing scalable, automated pipelines for multi-omics data, performing integrative analyses, and contributing to the development of novel computational approaches to uncover biological insights.

Key Responsibilities:

• Design, develop, and maintain robust, scalable, and automated pipelines for multi-omics data processing, integration, and analysis.
• Ensure reproducibility and efficiency of workflows using workflow management tools (e.g., Nextflow, Snakemake).
• Implement best practices for version control, modularization, and documentation of pipelines.
• Conduct comprehensive analyses of multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics.
• Apply advanced multivariate data analysis techniques, including regression, clustering, and dimensionality reduction, to uncover patterns and relationships in large datasets.
• Create high-quality, publication-ready visualizations to communicate complex datasets and analysis results effectively.
• Stay current with advancements in bioinformatics tools, algorithms, and methods, particularly in multi-omics and network biology.

Technical Skills

Mandatory:

1. Programming: Proficiency in Python or R for data analysis, visualization, and pipeline development.
2. Multi-omics analysis: Proven experience in analyzing and integrating multi-omics datasets.
3. Biological networks: Familiarity with gene regulatory networks and protein-protein interaction networks.
4. Data visualization: Strong understanding of data visualization techniques and tools (e.g., ggplot2, matplotlib, seaborn, or D3.js).

Preferred:

1. Graph and Network biology: Basic understanding of graph theory, networks, and their applications in biological contexts.
2. Statistics: Knowledge of probability distributions, correlation analysis, and hypothesis testing.
3. Workflow management Tools: Familiarity with tools like Nextflow, Snakemake, or CWL for pipeline development.
4. Cloud computing: Experience working with cloud platforms (e.g., AWS, GCP, or Azure) and containerization tools like Docker or Singularity.

Qualifications:

• A Bachelor’s or Master’s degree in bioinformatics, Computational Biology, or a related field.
• At least 3-5 years of hands-on experience in multi-omics data analysis and bioinformatics pipeline development.
• Excellent communication and collaboration skills, with a demonstrated ability to work in multidisciplinary teams.

Syngene Values:

All employees will consistently demonstrate alignment with our core values

•  Excellence
•  Integrity
•  Professionalism 

Equal Opportunity Employer:

It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.