Computational Biologist
Computational Biologist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Title -Research Investigator
Job Location -Bangalore
Department -Computational and Data Sciences (CDS)
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. Syngenes 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.
About the Role:
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
Required qualifications
- 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
Preferred qualifications
- Experience with machine learning network biology or statistical modeling in a biological context.
- Exposure to drug discovery workflows including target identification validation and translational research.
- Familiarity with cloud computing platforms (e.g. AWS Google Cloud Azure) and containerization (e.g. Docker Singularity).
- Track record of publications in high-impact journals and/or contributions to open-source bioinformatics tools.
- Experience with regulatory standards and clinical data integration is a plus.
Qualification
Ph.D or MS
Experience
7 years of relevant work experience
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 addition Syngene will provide reasonable accommodations for qualified individuals with disabilities.
Employment Type
Full Time
