Orbital Therapeutics
RNA Platform (R&D)
Other
Description
SCIENTIST, MOLECULAR & COMPUTATIONAL BIOLOGY
Company Summary:
Orbital Therapeutics aims to enhance global health by unleashing the full potential of RNA-based medicines to treat human disease in ways that were not previously possible. We are building a first-in-kind platform that integrates a critical mass of both established and emerging technologies and delivery mechanisms. With this access to state-of-the-art RNA and novel delivery technologies, Orbital aims to advance an expansive and transformational portfolio of RNA therapeutics across a range of human diseases, including in the areas of vaccines, immunomodulation, protein replacement and regenerative medicine. We offer a dynamic and inclusive work environment, where every team member has the opportunity to make a meaningful impact on our mission.
Position Summary:
Orbital Therapeutics is seeking an innovative scientist with both experimental and computational skills to develop novel approaches to design and optimize RNA therapies to enable the full potential of Orbital’s technology in treating human disease. This position will be intimately involved with every step of the design-build-test-learn cycle of RNA construct optimization. The successful candidate will develop NGS-based assays to interrogate the functionality of RNA constructs and will acquire and analyze data to improve RNA design. They will work closely with both experimental and computational scientists to advance Orbital’s RNA science.
Primary Responsibilities:
- Develop and refine computational approaches to design and optimize RNA constructs for a range of desired therapeutic properties, including protein expression and stability
- Design, execute, and interpret NGS-based experiments that optimize the functionality of RNA constructs
- Develop computational methods to analyze large-scale datasets describing RNA structure and function, such as chemical probing (e.g., SHAPE-MaP) and ribosome profiling data
- Analyze complex biological datasets by deploying statistical methods and visualization tools to draw conclusions
- Communicate scientifically rigorous findings via verbal and written communications, visualizations, and presentations
- Contribute to project planning and goal setting, as well as identify and address technical challenges
- Collaborate with cross-functional teams, including RNA biologists, bioinformaticians, and computational biologists, to drive scientific innovation
Required / Preferred Qualifications
Qualifications:
- Ph.D. in Molecular Biology, Biophysics, Computational Biology, Bioinformatics, or related field
- Strong track record in RNA biology, preferably related to RNA structure or high-throughput screening
- Hands-on expertise in molecular biology techniques for interrogating regulation of RNA abundance, RNA structure-function relationships, RNA-protein interactions, or RNP function (e.g., RNA-seq, CLIP-seq, SHAPE-MaP, Ribo-seq, scRNA-seq)
- Ability to write code using relevant programming languages, such as Python or R, and assemble bioinformatics pipelines using common tools
- Experience with AWS or similar cloud computing platform is a plus
- Ability to work independently while also building relationships with colleagues
- Strong problem-solving skills and the ability to think critically and creatively
- Ability to multitask, prioritize, and manage time effectively, and work collaboratively in a fast-paced environment