Job Description

Job Title: BBRC - Senior Research Associate - IPSJob Location: Bengaluru, Karnataka, IndiaJob Location Type: On-siteJob Contract Type: Full-timeJob Seniority Level: Mid-Senior levelTitle: BBRC - Senior Research Associate - IPSDate: 26 Nov 2024Job Location: BangalorePay Grade: 9-IIYear of Experience: 2 - 5 YearsDesignation: Associate Scientist/ Senior Associate ScientistPosition: Early Discovery Bioinformatics MethodologistJob Location: BangaloreDepartment: Discovery Technologies - Informatics and Predictive Sciences (BBRC-IPS)About SyngeneIncorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development andmanufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology,nutrition, animal health, consumer goods and specialty chemical industries around the world. Syngene sclientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA andHerbalife. Its innovative culture is driven by the passion of its 4240- strong team of scientists who work withclients from around the world to solve their scientific problems, improve R&D productivity, speed up time tomarket and lower the cost of innovation.Job PurposeWe are seeking innovative scientists to join our Informatics and Predictive Sciences (BBRC-IPS) group that isa part of main BBRC-LDO team. The group works on real-world health data, design experiments and analyzeboth 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 drugtargets, 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/orvalidating 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 analysisEducational QualificationMasters degree in Biotechnology, Bioinformatics, Statistics, Computer or Data Science,Computational Biology, or related technical disciplineExperience

• 3+ years of experience in pharma/biotech research environment preferable
• 3+ years of experience in university, hospital, or biotechnology environments for candidates with a

masters degreeTechnical/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 datasetsBehavioral 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 patientsEqual Opportunity EmployerIt is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless ofage, 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, statusregarding public assistance, veteran status, or any other characteristic protected by applicable legislationor local law. In addition, Syngene will provide reasonable accommodations for qualified individuals withdisabilities.xefxbbxbfLifelancer ( ) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.For more details and to find similar roles, please check out the below Lifelancer link.xefxbbxbfxefxbbxbf xefxbbxbf

Lifelancer