Deep Genomics is looking to integrate artificial intelligence and complex biology to transform drug discovery by decoding the complexity of RNA biology to identify novel drug targets, mechanisms and therapeutics.
Requirements
- Strong understanding of molecular biology and tissue sample processing for RNA and protein readouts as well as a familiarity with Next-Generation Sequencing techniques (NGS).
- Experience with rodents, running animal studies, and in vivo study design is highly desirable.
- Experienced in design, execution and analysis of molecular assays.
- Hands-on experience using liquid handlers is preferred (ex. Beckman Echo, Agilent Bravo and Hamilton STAR/STAR V.).
- Past experience with RNA editing and/or RNA oligonucleotides.
- Knowledge of histology and immunohistochemical assays and quantification is a bonus.
- Experience working in an advanced data and computing environment.
Responsibilities
- Perform standard molecular biology techniques in a consistent and reproducible manner (e.g. PCR, qPCR, ddPCR, ELISA, Western blot, Jess/Leo capillary-based Western blot, etc.).
- Support the development of novel molecular, cellular and functional assays on animal samples for our internal therapeutic pipeline.
- Plan and execute in vivo rodent studies to enable drug discovery
- Clearly document experiments, standard operating procedures (SOPs) and data in an electronic lab notebook (ELN).
- Communicate and present experimental design and findings with colleagues and project teams
- processing tissue samples
- implementation and execution of novel molecular assays
Other
- Degree in Pharmacology, Biology, Molecular Biology, Genetics, Biochemistry or a related field with a BS and 6-8+ years of relevant experience, a MS and 4-6+ years of relevant experience, or a PhD and 0-2+ years of relevant pharmaceutical or biotechnology experience.
- Excellent communication, organizational skills and a willingness to learn.
- Ability to work independently and manage priorities in a fast-paced technical environment
- Collaborate with a cross-functional team in a dynamic, matrixed environment to achieve shared company deadlines.
- Demonstrated experience working in cross-functional teams.
