Research Scientist - #1092872

Lucence is a trailblazing health biotech startup dedicated to transforming cancer care across the world. Our groundbreaking AI-enabled liquid biopsy tests save lives by providing doctors critical treatment information and detecting cancer at its earliest stages. We are backed by leading investors like Openspace Ventures, Heliconia, IHH Healthcare and SGInnovate.

Join us in bringing ultrasensitive early cancer detection to more people by being part of the team as a Research Scientist

Key Responsibilities

• Drive development and automation of novel next-generation sequencing workflows or genomic medicine technologies
• Propose, design, plan, execute, and interpret laboratory experiments to implement new molecular assays and improve current assays
• Design, plan, and lead studies for analytical and clinical verification and validation
• Author, review, and maintain internal workflows and protocols of validated molecular diagnostics assays
• Analyse genomic data and publish/present work in peer-reviewed journals and international conferences
• Collaborate closely with top-tier scientists, doctors, bioinformaticians and software engineers to develop new technologies and/or assays

To be a good fit for this role, you would have

• A PhD in Molecular Biology, Cancer Biology, Genomics, or related field
• A proven track record of quick learning
• Strong background in molecular biology, including PCR, RT-PCR, genotyping and NGS
• At least 1 years of working experience in the development of molecular assays, with significant hands-on expertise in troubleshooting, implementing, and optimising assays
• Strong self-motivation, resilience, adaptability, and a keen interest in learning. You will be working with world-class scientific and medical expertise and should be intellectually independent, ready to be challenged every day
• Excellent communication and presentation skills

The following would be advantageous, but not required

• A deep understanding and knowledge of oncology and/or genomics
• Proficiency in R or Python
• Experience in validation of NGS assays in a CLIA-compliant maner
• Fluency in variant annotation and interpretation and use of genome databases such as COSMIC, ClinVar, Varsome, Ensembl, and OncoKB
• Ability to interpret genomic data in patient- and treatment-specific contects
• Good track record of publication

Specific title and responsibilities may be calibrated to match a given candidate’s experience