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.
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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
Syngene Values
All employees will consistently demonstrate alignment with our core values
Excellence
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.
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