BBRC - Senior Research Associate - IPS

Title: BBRC - Senior Research Associate - IPS

Date: 26 Nov 2024

Job Location: Bangalore

Pay Grade: 9-II

Year of Experience: 2 - 5 Years

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.