Computational Biologist

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

Job summary

Syngene International Limited in Bengaluru seeks a highly motivated Computational Biologist to apply advanced computational methods to analyze high-throughput biological data and generate insights for drug discovery and biomarker development.

The role emphasizes pipelines, cross-functional collaboration, and leadership of junior team members, with ongoing learning in cutting-edge computational biology tools.

Qualifications

• Ph.D. in Computational Biology, Bioinformatics, or Systems Biology.
• Proven experience with processing and analysis of high-throughput datasets (RNA-seq, WGS, ATAC-seq, single-cell, proteomics).
• Strong programming skills in Python, R, or Perl for bioinformatics.
• Experience with bioinformatics tools, databases, and workflow systems; version control and Linux/Unix.

Responsibilities

• Analyze large-scale multi-omics datasets to derive actionable biological insights.
• Perform differential expression, pathway, enrichment, and network analyses.
• Develop scalable, reproducible computational pipelines for data processing and visualization.
• Lead studies on target identification, MoA elucidation, and biomarker discovery using systems biology.
• Collaborate with experimental biologists, data scientists, and clinicians.
• Mentor junior team members and maintain reproducible code and documentation.

Skills

Python

R

Perl

Machine learning

Cloud computing

Docker

Git

Linux

Education

Ph.D. in Computational Biology

Tools

Ensembl

GEO

TCGA

UniProt

Nextflow

Snakemake

Job description

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Department: Computational And Data Sciences

About Syngene: Syngene ( www.syngeneintl.com ) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply.

At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures and SOPs, in letter and spirit

Mandatory expectation for all roles as per Syngene safety guidelines

• Overall adherence to safe practices and procedures of oneself and the teams aligned
• Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company’s integrity & quality standards
• Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times.
• Ensuring safety of self, teams and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace.
• Ensure all assigned mandatory trainings related to data integrity,health, and safety measures are completed on time by all members of the team including self
• Compliance to Syngene’ s quality standards at all times
• Hold self and their teams accountable for the achievement of safety goals
• Govern and Review safety metrics from time to time

Core Purpose of the Role: We are seeking a highly motivated and experienced Computational Biologist to join our growing research and development team. The ideal candidate will apply advanced computational and statistical methods to analyze high-throughput biological data and generate actionable insights that support drug discovery, biomarker development, and disease biology research.

Role Accountabilities:

• Analyze and interpret large-scale multi-omics datasets (genomics, transcriptomics, proteomics, single-cell, and spatial data) generated through high-throughput sequencing (NGS) and other platforms to derive actionable biological insights, including target identification and biomarker discovery.
• Perform advanced bioinformatics analyses such as differential expression, pathway and enrichment analysis, variant calling, integrative multi-omics analysis, and network modeling.
• Develop, optimize, and maintain scalable, reproducible computational pipelines for data processing, quality control, integration, and visualization across diverse datasets.
• Lead and contribute to studies focused on target identification, mechanism-of-action (MoA) elucidation, and biomarker discovery using systems biology and data-driven approaches.
• Utilize advanced statistical methods to identify patterns in biological data.
• Mentor junior team members
• Collaborate cross-functionally with experimental biologists, data scientists, and clinicians to interpret results.
• Develop and maintain reproducible code and documentation for internal and external use.
• Stay abreast of emerging technologies, databases, and tools in computational biology and bioinformatics.
• Present results clearly in cross-disciplinary meetings.

Leadership Capabilities

All employees will consistently demonstrate alignment with our core values

• Integrity
• Professionalism

Specific requirements for this role

• Demonstrated Capability
• Strong proficiency in programming languages such as Python, R, or Perl for bioinformatics applications.
• Proven experience with processing and analysis of high-throughput datasets (e.g., RNA-seq, WGS, ATAC-seq, single-cell, proteomics).
• Familiarity with commonly used bioinformatics tools, databases (e.g., Ensembl, GEO, TCGA, UniProt), and workflow management systems (e.g., Nextflow, Snakemake).
• Experience with version control (e.g., Git), reproducibility standards, and working in Linux/Unix environments.
• Excellent problem-solving, analytical, and communication skills.
• Education: Ph.D. in Computational Biology, Bioinformatics, Systems Biology,

Skills and Capabilities

• Experience with machine learning, network biology, or statistical modeling in a biological context.
• Exposure to drug discovery workflows, including target identification, validation, and translational research.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and containerization (e.g., Docker, Singularity).
• Track record of publications in high-impact journals and/or contributions to open-source bioinformatics tools.
• Experience with regulatory standards and clinical data integration is a plus.

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.