NGS Scientist

Responsibilities:

• Spearhead research initiatives aimed at establishing our Hi-C technology as the leading method for identifying genomic rearrangements in various clinical scenarios and with key partners.
• Direct the development of future products, services, and applications, focusing on enhancing the efficiency of our Hi-C sample processing workflows.
• Conduct laboratory experiments, analyze genomic data through established or novel bioinformatics tools and algorithms.
• Interpret results, propose subsequent actions to the leadership team, and engage in strategy discussions.
• Work collaboratively with colleagues, interdisciplinary teams, and leaders across the organization.
• Engage in technical collaborations with external partners.
• Keep abreast of the latest trends in technology, scientific discoveries, and medical literature, particularly in cancer molecular diagnostics and the wider applications of our offerings.
• Deliver technical presentations internally and at scientific conferences.
• Proactively identify potential project hurdles, strategize solutions, and escalate complex issues to management appropriately.
• Contribute to R&D team meetings by promoting a culture of curiosity, critical analysis, and an understanding of technology commercialization and product development.
• Take part in special projects as assigned, contributing to team and individual goals.

Qualifications:

• Bachelor's, Master's, or Ph.D. in Molecular Biology, Genomics, or a related field, with relevant experience.
• Demonstrated passion for leveraging genomic structure research to advance understanding of human diseases.
• Dedicated to developing advanced genomic solutions.
• Proficient in various genomic assays (e.g., Hi-C, ChIP, RNA-seq) and next-generation sequencing prep techniques.
• Experienced in statistical analysis software (e.g., JMP).
• Ability to thrive both in teamwork settings and when working independently.
• Exceptional detail orientation with strong written and verbal communication skills.
• Proactive, highly organized, and capable of initiating and managing projects.

Preferred Qualifications:

• Experience with bioinformatics and genomic data analysis.
• Knowledge of cancer genomics and molecular diagnostics.
• Familiarity with the product development lifecycle in a biotech or genomic research context.
• Demonstrated ability to present complex scientific data to diverse audiences.
• Leadership experience in managing research or technology development projects.