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RNA Therapeutics Scientist

2 months ago


Cambridge, Massachusetts, United States Doppler Bio Full time

JOB OVERVIEW

Doppler Bio is on the lookout for a passionate and forward-thinking RNA scientist with a strong background in bioinformatics to become a vital member of our foundational science team. Your contributions will be essential in crafting and assessing RNA sequences and structures, analyzing gene expression data, and developing bioinformatics workflows for multi-omics datasets. This role promises considerable advancement opportunities within a vibrant startup atmosphere.

KEY RESPONSIBILITIES


• Design and analyze RNA sequences customized to cellular transcriptomic profiles.


• Explore RNA structure-activity dynamics, RNA-protein interactions, and leverage this knowledge to engineer highly effective therapeutic RNAs.


• Develop and execute innovative cell-based assays to validate RNA constructs.


• Build and refine computational pipelines for the analysis of publicly accessible datasets.


• Pioneer and apply new technologies and algorithms for the iterative optimization of RNA sequences through a design-build-test-learn framework.


• Formulate and test therapeutic hypotheses utilizing genomic data.


• Present research outcomes to both internal teams and external partners.

QUALIFICATIONS


• Ph.D. in Biology, Life Sciences, Bioinformatics, Genetics, or a related discipline.


• In-depth experience in RNA biology, including sequence and structural analysis.


• Proficient in molecular and cellular biology techniques, including NGS, gene expression, and genome engineering.


• Expertise in mammalian cell culture, including primary cells from various tissues, nucleic acid transfection, reporter assays, and cellular imaging.


• Capacity to innovate and apply new tools for the integrative analysis and visualization of complex genomic datasets.


• Proficient in bioinformatics applications and computational tools essential for the discovery and development of therapeutic RNAs.


• Familiarity with machine learning algorithms and data mining techniques is preferred.


• Competent in Python, R, or other statistical scripting languages.


• Experience with cloud computing and version control using GitHub.


• Excellent communication skills and the ability to excel in a fast-paced startup environment.


• Awareness of industry trends and innovations in precision genomic medicine.

WHAT WE PROVIDE:


• An opportunity to collaborate with leading experts and investors in the field.


• A supportive and rapidly evolving startup culture.


• Substantial professional growth and development opportunities in gene editing therapeutics.