Research Scientist In Vitro Pharmacology
Cambridge, MA$135k - $165kFull-timePosted 1w ago
About the role
Research Scientist role focused on designing and executing cell-based studies to evaluate oligo-based therapeutics (ADAR-mediated RNA editing and siRNA) in liver disease models, building advanced liver disease models, and guiding therapeutic decision-making.
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.
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.
- Experience with RNA therapeutics, such as oligonucleotide or mRNA-based approaches, and an 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 experience with high-content imaging and quantitative analysis.
- Ability to integrate phenotypic data with molecular analyses performed by computational partners; independent pipeline development is not required.
- Experience using laboratory automation and strong experimental design, troubleshooting, data analysis, and record-keeping skills.
- Ability to explain complex results directly and clearly to audiences with different technical backgrounds, and to work effectively across sites.
Skills
Required:Co-culture and 3D liver disease model developmentFunctional assays (viability, ELISA/MSD, Western blot/Jess)High-content imaging and quantitative analysisLaboratory automation
Nice to have:ADAR-mediated RNA editing and siRNA evaluation
Benefits
- A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.
- Highly competitive compensation, including meaningful stock ownership.
- Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program.
- Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
- Maternity and parental leave top-up coverage, as well as new parent paid time off.
- Focus on learning and growth for all employees - learning and development budget & lunch and learns.
- Facilities located in the heart of Toronto and Kendall Square, Cambridge, MA.
Last updated Oct 14, 2026. Interested? Apply on the company site.
About Deep Genomics
Programming RNA Therapies Any Gene, Any Genetic condition
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