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Company | DermTech |
Address | San Diego Metropolitan Area, United States |
Employment type | FULL_TIME |
Salary | |
Category | Biotechnology Research |
Expires | 2023-08-29 |
Posted at | 8 months ago |
About Dermtech
- Work effectively in cross-functional project teams, in a multi-disciplinary environment.
- Contribute to presentation and reporting of methods, standard protocols, results, and conclusions to a publishable standard.
- Conduct research and experiments that support novel biomarker discovery using non-invasive skin sampling in the fields of oncology, inflammation, or microbiology.
- Design, execute, and analyze study data that will support developing state-of-the-art molecular approaches and the smart sticker platform for integration into the Clinical Operations laboratory.
- Validate molecular assays, to support precision and personalized dermatology, including multiplexed RT-qPCR, proteomics, and Next Generation Sequencing (NGS).
- Collaborate with interdisciplinary teams to drive data analysis, integration, and application across various ‘omics platforms.
- Manage sample processing from experiments, collaborations, and client clinical trials.
- MS or Ph.D. in molecular biology, microbiology, genomics, or related field with 3-5+ years of industry experience.
- Motivated, innovative, and strong team player able to function with a high degree of independence.
- Ability to multi-task and adjust plans quickly in a fast-paced environment.
- Desire and ability to learn new skills and a willingness to undertake training courses for continued professional development.
- Highly organized with a structured approach to experimental execution and record keeping.
- Skilled in molecular biology, genetics, and genomics, including techniques such as RT-qPCR, nucleic acid extractions, protein extractions, NGS, RNAseq, gel electrophoresis, and complex data analysis.
- Creative mindset with strong decision-making and troubleshooting skills.
- Collaborative attitude with the ability to communicate with individuals across the spectrum of scientific knowledge.
- Good knowledge in the use of clinical data sets and public databases.
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