BBRC - Senior Research Associate - IPS

6 days ago

Bengaluru, India Syngene Full time

JOB DESCRIPTION
Designation: Associate Scientist/ Senior Associate Scientist
Position: Early Discovery Bioinformatics Methodologist
Job Location: Bangalore
Department: Discovery Technologies - 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 to join our Informatics and Predictive Sciences (BBRC-IPS) group that is 
a part of main BBRC-LDO team. The group works on real-world health data, design experiments and analyze 
both pre-clinical and clinical -omics data sets, including RNA-Seq, Exome and Whole Genome Sequencing, 
single-cell sequencing, high-throughput proteomics, and multiplex flow cytometry to nominate novel drug 
targets, enable patient enrichment strategies, and guide drug development decisions.


Key Responsibilities:
• Understand and work on exploratory drug discovery programs for the identification of a novel/ 
validation of existing targets in collaboration with In vitro Pharmacology, Immunology, Oncology, CV, 
and Neuroscience teams
• Evaluate, develop, and apply cutting-edge methods for the analysis of multi-modal, high-dimensional -
omics datasets coming from both human and animal models with the aim of identifying and/or 
validating new pathways and potential drug targets for fibrosis, cv, immunology, and oncology
• Provide expertise in state-of-the-art statistical methods for data analysis and visualization while both 
advising colleagues and performing hands-on work in an array of clinical and patient care settings
• Influence best practices in areas such as causal human biology, building and assessing predictive 
models, analyzing biological networks, visualizing -omics data, and NGS data analysis 
Educational Qualification: 
Master’s degree in Biotechnology, Bioinformatics, Statistics, Computer or Data Science,
Computational Biology, or related technical discipline
Experience:
• 3+ years of experience in pharma/biotech research environment preferable
• 3+ years of experience in university, hospital, or biotechnology environments for candidates with a 
master’s degree 

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)
• Desirable to have a good understanding of fibrosis and cardiovascular disease biology and biological 
mechanisms
• Up to date with the current literature and utilizing this knowledge to propose new strategies and
validate targets based on the analysis of a combination of both internal and publicly available datasets
Behavioral 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
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 
regarding 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.

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