Associate Scientist

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