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Salary: USD 135,000 - 165,000 / annual
Deep Genomics is seeking a Research Scientist to design and execute cell-based studies evaluating the functional impact of oligo-based therapeutic modalities, including ADAR-mediated RNA editing and siRNA, on liver disease. This is a hands-on individual contributor role based in Cambridge, Massachusetts, with occasional travel between Cambridge and Toronto offices.
You will build and apply advanced two-dimensional co-culture and three-dimensional liver disease models, connecting editing measurements to biological outcomes to help guide which therapeutic approaches to advance. Key responsibilities include:
• Design, optimize, and run functional assays in appropriate cellular liver disease models that capture relevant disease biology and therapeutic mechanisms.
• Evaluate ADAR-mediated RNA editing and siRNA candidates, characterizing dose response, durability, cellular phenotype, and disease-relevant biomarkers using orthogonal readouts.
• Develop and apply key endpoints for functional assays (viability assays, ELISA or MSD, 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, phenotypic readouts, 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.
Deep Genomics uses artificial intelligence to transform drug discovery, with a proprietary AI platform that decodes RNA biology to identify novel drug targets and therapeutics inaccessible through traditional methods. The company brings together expertise in machine learning, bioinformatics, data science, engineering, and drug development.
REQUIREMENTS:
• Ph.D. in cell biology, molecular biology, biochemistry, genetics, gene therapy, immunology, or related field with 0–3+ years postgraduate experience, OR Master's/B.S. with 6+ years experience. Biotech or pharmaceutical experience preferred.
• In-depth understanding of disease models for liver diseases and hands-on experience developing and interpreting functional assays relevant to liver disease.
• Experience with RNA therapeutics (oligonucleotide or mRNA-based approaches) and understanding of experimental controls needed to assess mechanism and function.
• Experience with foundational functional assay techniques: ELISA, MSD, Western blot or Jess, viability assays, and high-content imaging with quantitative analysis.
• Ability to integrate phenotypic data with molecular analyses performed by computational partners; independent pipeline development not required.
• Experience using laboratory automation and strong experimental design, troubleshooting, data analysis, and record-keeping skills.
• Ability to explain complex results clearly to audiences with different technical backgrounds and work effectively across sites.
PREFERRED QUALIFICATIONS:
• Direct experience with ADAR-mediated RNA editing, siRNA, or related RNA editing therapeutics.
• Experience with liver disease biology (steatosis, inflammation, fibrosis, cirrhosis) and primary cells, organoids, or multicellular systems.
• Direct experience with molecular techniques such as RNAseq and next-generation sequencing.
• Computational background or experience working closely with bioinformatics, AI, or machine-learning teams on experimental design and interpretation.
