Research Scientist In Vitro Pharmacology
Deep Genomics
Summary
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.
Job description
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.
- 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.
Preferred Qualifications
- Direct experience with ADAR-mediated RNA editing and siRNA, or related RNA editing therapeutics.
- Experience with liver disease biology, including steatosis, inflammation, fibrosis, or cirrhosis, and with 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.
Requirements
- 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
- 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
Benefits
- Health insurance
- Vision coverage
- Dental coverage
- Employee and family assistance program
- Flexible work environment
- Flexible hours
- Holiday shutdown
- Unlimited personal days
- Maternity and parental leave top-up
- New parent paid time off
- Learning and development budget
- Stock ownership
Company overview
Deep Genomics is a pioneering AI-first biotechnology company founded in 2014 that leverages artificial intelligence to revolutionize genetic medicine discovery and development. Headquartered in Toronto, Canada with offices in Boston, the company has developed a proprietary AI platform that analyzes complex RNA biology data to identify novel therapeutic targets and candidates for genetic conditions. Deep Genomics operates at the intersection of genomics, drug development, and artificial intelligence, with a team of over 100 experts in AI, molecular biology, and software engineering. The company's breakthrough AI foundation model, BigRNA, represents the first comprehensive AI system for RNA biology, enabling the discovery of disease mechanisms and therapeutic candidates. Deep Genomics has raised over $761 million in funding and focuses on developing genetic therapies for RNA-related diseases, positioning itself as a leader in the emerging field of AI-driven drug discovery and precision medicine.