Senior Scientist - NGS Bioinformatics (Algorithm Development) Job at Amgen (Hyderabad)

Job Responsibility

Develop and optimize computational methods for NGS analysis, including short- and long-read variant calling, clustering/de-duplication, immune repertoire analysis, assembly, and sequence classification
Design and benchmark algorithms to improve the accuracy, scalability, and interpretability of sequencing workflows and biological analyses
Build reproducible analytical code and support method validation and benchmarking
Collaborate with principal bioinformatics scientists and experimental stakeholders to define analytical strategies grounded in assay design and biological context
Partner with software engineers, data scientists, and laboratory scientists to translate research needs into computational solutions and assess emerging sequencing technologies

PhD with 6+ years of experience developing computational methods for NGS or other high-throughput biological data, with exposure to variant calling, immune repertoire analysis, or related analytical approaches
Strong understanding of short-read and long-read sequencing technologies and implications for data analysis
Experience benchmarking algorithms and evaluating performance using statistical, technical, and biological metrics
Familiarity with antibody discovery, protein engineering, or other biologically complex large molecule discovery workflows
Experience translating wet-lab or assay requirements into bioinformatic solutions
Familiarity with reproducible scientific computing practices, including version control, testing, and cloud- or container-based workflows
Experience communicating complex analytical results to scientific and technical audiences

Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans and bi-annual company-wide shutdowns
Flexible work models, including remote work arrangements, where possible