17:I[59529,["/_next/static/immutable/chunks/2corl6wyj4669.js","/_next/static/immutable/chunks/31r--0f39g9ze.js","/_next/static/immutable/chunks/0ecdjrtw9-w3j.js","/_next/static/immutable/chunks/1nbyhb2cfdaol.js","/_next/static/immutable/chunks/1hodejexxhw_x.js","/_next/static/immutable/chunks/39f9_79wvgc2y.js"],"default"] 18:T1756,

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.
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.

What We Offer

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 - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.

Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.

If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.

*This posting reflects a current vacancy.

We offer competitive compensation aligned with local market benchmarks. The salary range for this role is $135,000 - 165,000, and reflects Cambridge, USA-based roles.

19:T14d4,

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 Senior Research Associate 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 platform. In this role, you will be responsible for helping support in vivo therapeutic efficacy testing efforts of novel RNA therapeutics in various animal models. The ideal candidate will have strong hands-on experience with in vivo animal handling and rodent models, expertise in tissue collection and sample processing, and some background in molecular biology techniques. Experience or familiarity with RNA-based therapeutic modalities is highly desirable.

The successful candidate will be a proactive, detail-oriented, and collaborative team member who demonstrates scientific curiosity and initiative. The candidate should be comfortable working both mostly independently and within cross-functional teams in a dynamic, fast-paced biotech environment.

This position is onsite at our Cambridge, MA site.

Key Responsibilities

Coordinate study logistics, including dosing schedules, sample collection plans, reagent preparation, and communication with research partners.
Manage in vivo samples and prepare samples for downstream analysis.
Perform standard molecular biology techniques in a consistent and reproducible manner (e.g. PCR, qPCR, ddPCR, ELISA, Western blot, Jess/Leo capillary-based Western blot, etc.).
Support the development of novel molecular and functional assays on animal samples for our internal therapeutic pipeline.
Analyze, visualize, and summarize study data while maintaining accurate and timely documentation of experiments, protocols/SOPs, sample inventories, and results in an electronic lab notebook (ELN).
Collaborate with cross-functional teams to support project goals and meet company timelines.

Basic Qualifications

Degree in Pharmacology, Biology, Molecular Biology, Genetics, Biochemistry or a related field with a BS and 2-4+ years of relevant experience, a MS and 1-2+ years of relevant pharmaceutical or biotechnology experience.
Basic understanding of molecular biology and tissue sample processing for RNA and protein readouts.
Hands on experience with rodents, basic injections (ex. tail vein, SubQ, IP, etc.), necropsy, and some in vivo study coordination is mandatory.
Demonstrate ability to execute various ex vivo molecular assays.
Excellent communication, organizational skills and a willingness to learn.
Ability to work collaboratively in a fast-paced technical environment.

Preferred Qualifications

Past experience with RNA oligonucleotide therapeutics in animal models is preferred.
Basic knowledge of histology and immunohistochemical assays and quantification is a bonus.
Demonstrated experience working in cross-functional teams.
Experience working in an advanced data and computing environment.

What We Offer

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 - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.

Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.

If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.

*This posting reflects a current vacancy.

We offer competitive compensation aligned with local market benchmarks. The salary range for this role is $90,000 - 110,000, and reflects Cambridge, USA-based roles.

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