About Us
Deep Genomics is at the forefront of integrating artificial intelligence and complex biology to transform drug discovery. Our proprietary machine learning platform decodes the complexity of RNA biology to identify novel drug targets mechanisms and therapeutics inaccessible through traditional methods. With expertise spanning machine learning bioinformatics data science genetics chemistry and drug development our multidisciplinary team in Toronto and Cambridge MA is revolutionizing how medicines are created.
About the Role
The Principal Research Associate / Research Scientist will join our in vivo Pharmacology team within the Platform Biology group and will be a key player in driving our cutting-edge AI RNA therapeutics discovery this role you will be responsible for helping lead in vivo therapeutic efficacy testing efforts of novel RNA therapeutics in various animal models. You will also support target validation therapeutic lead optimization and drug profiling through the implementation and execution of novel molecular assays to advance our internal therapeutics portfolio. The ideal candidate will have a strong molecular biology background with expertise in processing tissue samples as well as experience with rodent models. Relevant knowledge of RNA modalities such as ADAR ASO mRNA and / or siRNAs is also highly beneficial. The successful candidate should demonstrate initiative and be able to thrive in a dynamic work environment with cross-functional teams working together to achieve company goals. Title is commensurate with prior experience.
This position is onsite at our Cambridge MA site.
Key Responsibilities
Basic Qualifications
Preferred Qualifications
What we offer
Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Deep Genomics thanks all applicants however only those selected for an interview will be contacted.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience :
Staff IC
Key Skills
Laboratory Experience,Machine Learning,Python,AI,Bioinformatics,C / C++,R,Biochemistry,Research Experience,Natural Language Processing,Deep Learning,Molecular Biology
Employment Type : Full-Time
Experience : years
Vacancy : 1
Research Scientist • Cambridge, Massachusetts, USA