Research Scientist

About Us

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI 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, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.  

About the Role

We are seeking a Research Scientist to design and execute cell-based studies that evaluate the functional impact of oligo-based therapeutic modalities including ADAR-mediated RNA editing and siRNA on liver disease. You will build and apply advanced two-dimensional co-culture and three-dimensional liver disease models, connect editing measurements to biological outcomes, and help teams decide which therapeutic approaches to advance. This is a hands-on, individual contributor role based in Cambridge, Massachusetts. You will work closely with colleagues in Cambridge, MA and Toronto, Canada and may travel occasionally between sites. The position does not initially have direct reports.

Key Responsibilities

• Design, optimize, and run functional assays in appropriate cellular liver disease models, selecting systems that capture the relevant disease biology and therapeutic mechanism.
• Evaluate ADAR-mediated RNA editing and siRNA candidates and characterize dose response, durability, cellular phenotype, and disease-relevant biomarkers using orthogonal readouts.
• Develop and apply key end points for functional assays (viability assays, ELISA or MSD, and Western blot or Jess) and high-content imaging workflows for phenotyping and quantitative analysis.
• Interpret results of cell-based functional assays including imaging, protein biomarkers, and phenotypic readouts as well as molecular assays and transcriptomic responses in collaboration with computational colleagues.
• Use laboratory automation where appropriate to improve assay throughput, reproducibility, and data quality; document methods, controls, and results rigorously.
• Collaborate across Cambridge and Toronto with program, computational biology, AI and machine learning, and other research teams.
• Communicate findings and recommendations clearly to leadership, scientific peers, and research associates.

Basic Qualifications

• Ph.D. in cell biology, molecular biology, biochemistry, genetics, gene therapy, immunology, or a related field with 0-3+ years of postgraduate experience or Masters/B.S. with 6+ years of experience. Biotech or pharmaceutical experience is preferred.
• In depth understanding of disease models for liver diseases and hands on experience developing and interpreting functional assays relevant to liver disease.