Principal Scientist - Informatics & Predictive Sciences

Syngene International Limited; Bengaluru; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

Syngene International Limited is seeking a Principal Scientist to lead bioinformatics analyses in Translational Sciences. You will develop computational pipelines for NGS data analysis (RNA-seq, WES, ctDNA) and apply ML approaches to derive clinically relevant insights.

You will collaborate with lab teams, translational researchers, and external vendors to advance cancer genomics projects. The role requires expertise in statistics, HPC environments (AWS), and strong communication skills to

Qualifications

• Expertise in statistical programming and omics data analysis.
• Experience with cancer genomics and epi-genomics.
• Proficient in HPC/cloud environments (AWS).
• Experience with RNA-seq, WES, ctDNA analyses.
• Strong communication and collaboration skills.

Responsibilities

• Develop computational pipelines to analyze NGS data.
• Apply ML and statistics to derive insights.
• Collaborate with translational teams and external vendors.
• Interpret QC metrics and report to stakeholders.

Skills

Bioinformatics

NGS data analysis

Python

R

AWS

Machine learning

Statistical analysis

HPC

Genomics

Transcriptomics

Education

PhD in Bioinformatics/Computational Biology

Tools

Nextflow

CWl

R Shiny

Django

AWS

Job description

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Principal Scientist - Informatics & Predictive Sciences

Date: 24 Aug 2026

Location:
Bangalore, KA, IN, 560099

Division: Dedicated Centre

JOB DESCRIPTION

Department: TRANSLATIONAL SCIENCES

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

Support the bioinformatics team in analyzing and interpreting biological and clinical data to help address key scientific questions across Translational Medicine projects. Contribute to data analysis, analysis planning, and the development of bioinformatics workflows. Collaborate with cross-functional stakeholders to generate insights that support research and translational medicine objectives.

Key Responsibilities:

• Significant understanding of Immunology, Oncology, Cardiovascular Diseases.
• 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 (RNAseq, WES, WGS, MRD, ctDNA, CRISPR) for tasks like tumor load distribution, MRD status, immune cell analysis, and variant calling
• Substantial experience in analyzing WES, RNA-seq, and ctDNA datasets
• 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
• The individual to work closely with the laboratory teams while supporting analysis of external vendor evaluations and pilot studies
• 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
• Excellent written and oral communication skills, including an ability to converse with computational scientists, experimentalists, and clinicians.
• Familiarity with preclinical and clinical trial data analysis.
• Extensive experience analyzing and interpreting NGS data.
• Hands-on experience with relevant public domain data sets including 1KG, Exac, GnomAD, and TCGA.
• Fluency with cloud and Linux based high performance compute environments, R/Bioconductor and reproducible research practices.
• Communicate effectively to build support for work and align with organization

Educational Qualification:

Technical 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
• Communicate effectively to build support for work and align with organization

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.
• Collaborating to solve challenging problems at the intersection of modern statistics and medicine to help bring new medicines to patients

Experience:

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.