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

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