Development Researcher

2 weeks ago

Singapore beBeeMolecular Full time $120,000 - $160,000
Job Description

We are seeking a skilled Development Scientist to join our team. As a Development Scientist, you will play a vital role in developing and implementing clinical assays to advance cancer care.

Your key responsibilities will include designing and conducting laboratory experiments to develop new clinical assays, planning and leading assay validation studies, troubleshooting and resolving technical challenges during assay development, driving the automation of novel assays, maintaining accurate and organized experimental records, preparing detailed protocols and validation reports to ensure regulatory compliance, and training staff and facilitating assay transfer from R&D to clinical operations.

Key Responsibilities:
  • Design and conduct laboratory experiments to develop new clinical assays.
  • Plan and lead assay validation studies.
  • Troubleshoot and resolve technical challenges during assay development.
  • Drive the automation of novel assays.
  • Maintain accurate and organized experimental records.
  • Prepare detailed protocols and validation reports to ensure regulatory compliance.
  • Train staff and facilitate assay transfer from R&D to clinical operations.
Required Skills and Qualifications

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, a strong background in molecular biology including PCR, RT-PCR, genotyping, and NGS, at least 2 years of working experience in the development of clinical assays with significant hands-on expertise in troubleshooting, optimizing, and validating molecular assays, a good understanding of the regulatory and quality requirements of clinical diagnostics, strong self-motivation, resilience, adaptability, and a keen interest in learning, excellent communication and presentation skills.

Benefits

The ideal candidate will have a deep understanding and knowledge of oncology and/or genomics, proficiency in R or Python, 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 contexts.

Other Information

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

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