Senior Scientist II, R&D Bioinformatics

The Senior Scientist II in R&D Bioinformatics contributes significantly to the growth of LGC’s molecular biology product portfolio. As a senior leader and subject matter expert, this person supports several R&D projects in the Diagnostics and Genomics business unit. The Senior Scientist II has extensive knowledge of the scientific principles in bioinformatics and genomics research and applies this expertise to invent and implement innovative experiments. The main duty of this role is to foster innovation, compose and develop algorithms, tools, and pipelines for different PCR- and next generation sequencing (NGS)-based applications.
To perform this job successfully, an individual must be able to perform each of the following essential functions satisfactorily:
Develop oligo building tools and pipelines for molecular techniques such as qPCR and NGS
Develop algorithms and tools for NGS data analysis and new product creation
Complete research projects in collaboration with multiple collaborators across the organization
Provide algorithm and scientific mentorship to the internal and external software development teams
Generate, optimize, and maintain scripts for routine genomic data processing, curation, and storage
Provide customized data analysis support and training to wet-lab scientists as needed
Build high-throughput multiplexing genotyping panels for human, plants, animals, and microbes
Work together with Product Management, Project Management, Lab Services, and R&D teams on new product development and custom NGS projects/services
Identify and define new product ideas or technologies, develop prototypes, conduct optimization studies, and present results to the leadership
Attend meetings, conferences, symposia, and seminars to promote LGC capabilities and to keep abreast of scientific/technological developments
Deliver high-quality product development documentation consistent with LGC’s quality systems
Minimum Qualifications:
Master or Ph.D. degree in a relevant field (bioinformatics, computer science, biostatistics, computational biology, genetics, biology)—or an equivalent combination of applicable education and work experience
Minimum of 5 plus years of relevant work experience in a highly technical role with a focus in bioinformatics
Proficiency in a high-level (e.g., Python,Perl) programming languages
Demonstrated experience with Unix-based operating systems and bash shell scripting
Strong expertise in crafting, building, and managing Docker-based environments
Experience in software development including ticket management and version control (e.g., git)
Experience in computational pipeline development and database management, as well as solid background in genomics and statistics
Proven understanding of NGS algorithms and data analysis tools
Practical experience in analyzing and handling extensive genomic datasets (e.g., whole genome sequencing, exome-seq, target enrichment, amplicon sequencing, RNA-seq, etc.)
Practical experience with genome alignment, mapping, variant calling, and annotation tools
Working knowledge of Microsoft Office product suite (Word, Excel, PowerPoint, Outlook)
Preferred Qualifications:
Experience in workflow management systems (e.g., Airflow)
Excellent understanding of molecular biology and NGS products/methods, platform-specific capabilities, and data interpretation

Employment type
Full-time

Work arrangement
Hybrid