Job Description

About the Role

The Assay Scientist plays a key role in advancing research and development initiatives focused on genomic technologies and molecular diagnostics. This position combines hands-on laboratory experimentation with data analysis to support the development of innovative genomics-based assays and products. The ideal candidate will have experience in NGS, bioinformatics, and cancer genomics, with a strong drive to contribute to translational research and product development in clinical and research applications.

Responsibilities

Lead research projects to validate genomic technologies for detecting genomic rearrangements in clinical and translational applications Design and implement development plans for future genomics-based products, services, and applications Perform molecular biology and genomics experiments, including sample preparation, sequencing, and assay optimization Analyze high-throughput genomic data using standard and custom bioinformatics tools Interpret experimental results and propose actionable next steps to cross-functional stakeholders Collaborate with internal teams including R&D, bioinformatics, and product development to support project goals Engage in technical discussions with external collaborators and scientific partners Monitor scientific and technological trends in cancer diagnostics, genomics, and molecular biology Deliver internal technical presentations and contribute to departmental knowledge-sharing sessions Represent the team by presenting research findings at external scientific meetings and conferences Identify potential challenges in research projects early and implement solutions or escalate appropriately Participate in regular lab and R&D team meetings, promoting a collaborative and innovation-driven environment Support additional projects and initiatives as assigned

Qualifications

PhD or MS in Molecular Biology, Genomics, Bioinformatics, Biochemistry, or related field Hands-on experience with next-generation sequencing (NGS) workflows and data analysis Proficiency in using bioinformatics tools and scripting languages (e.g., Python, R, Bash) Strong understanding of genomic rearrangements, chromatin biology, and cancer genomics Proven ability to interpret and present complex genomic data to diverse audiences Experience working in cross-functional research or development teams Excellent written and verbal communication skills Demonstrated ability to manage multiple projects and meet deadlines

Desired Qualifications

Experience with Hi-C or chromosome conformation capture technologies Familiarity with clinical assay development or regulatory standards for molecular diagnostics Background in technology transfer or product commercialization Publication record in peer-reviewed scientific journals Experience presenting at national or international scientific conferences Knowledge of single-cell genomics or spatial transcriptomics * Previous involvement in industry academic collaborations