Title:  Associate Scientist

JOB DESCRIPTION

Designation: Senior/Associate Scientist

Job Location: Bangalore

Department: 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 for Research Scientist / Senior Research Scientist position to join our Informatics and Predictive Sciences (BBRC-IPS) group that is a part of main Discovery Biology and Translational Sciences (DBTS) team.The group works on real-world health data, design experiments and analyze both pre-clinical and clinical -omics data sets, including Exome, Whole Genome Sequencing, RNA-Seq, single-cell sequencing, high-throughput proteomics, multiplex flow cytometry, CRISPR etc. to nominate novel drug targets, enable patient enrichment strategies, and guide drug development decisions. You will be responsible for developing, implementing, and maintaining computational pipelines to analyze this data and generate meaningful biological insights.

Key Responsibilities:

• Identify and implement state-of-the-art statistical methods for data exploration, visualization, analysis, and integration of cancer genomics/epi-genomics, and other forms of high-dimensional -omics data for patient clinical outcomes
• Develop and implement computational pipelines using Python, R, Bash, and AWS to analyze NGS data (WES, WGS, MRD, ctDNA, CRISPR) for tasks like tumor load distribution, MRD status, immune cell analysis, and variant calling
• Evaluate the performance of NGS assays (sensitivity, accuracy, concordance)
• Utilize machine learning and statistical analysis to identify clinically relevant insights from NGS data, including associations between gene expression, IHC markers, immune cell populations, and clinical outcomes
• Develop and evaluate performance of existing or new assays through statistical inferences
• Interpret quality control data metrics in NGS methodology and communicate effectively with the team and the respective stakeholders
• Collaborate closely with others on translational research teams to evaluate, develop, and apply cutting-edge methods for analysis of multi-modal, high-dimensional -omics data

Educational Qualification: 

• Master’s degree in Biotechnology, Bioinformatics, Biostatistics, Computer Science, or related field

Experience:

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

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)
• Understanding of cancer genomics and epi-genomics is required
• Proficient with high-performance computing environments like cloud computing (AWS)
• Working knowledge of workflow languages for example: CWL or Nextflow
• Working knowledge of web frameworks like R Shiny or Django

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 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.