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.

Opportunity

We are looking for a passionate and detail-oriented Research Associate to become an integral part of our Platform Technology team. This is an opportunity to contribute hands-on to an AI-driven drug discovery platform, generating the experimental data that directly informs the biological models powering our therapeutic pipeline. You will bring scientific curiosity and rigor to the bench, supporting the execution of molecular and sequencing-based assays that our computational and therapeutic teams rely on to advance program goals.

This role offers early-career professionals a meaningful foothold in a cross functional discovery environment, with exposure to cutting-edge technologies spanning NGS workflows, liquid handling automation, and diverse RNA therapeutic modalities including ADAR editing, ASOs, siRNAs, and mRNAs. If you are eager to develop technical breadth while contributing to work that has real therapeutic impact, we encourage you to apply.

Key Responsibilities

• Execute amplicon sequencing workflows, including NGS library preparation and targeted sequencing, under the guidance of senior team members, to support the evaluation of RNA therapeutic candidates.
• Carry out library QC using tools such as TapeStation, Qubit and qPCR, flagging workflow bottlenecks to ensure high-quality datasets for downstream computational analysis.
• Operate sequencing instruments such as the Illumina NextSeq, including run setup and routine troubleshooting, with increasing independence over time.
• Perform routine molecular biology techniques including PCR, qPCR/ddPCR, and nucleic acid extractions from a variety of cell types and tissues.

Basic Qualifications

• BS in Molecular Biology, Genetics, Genomics, Biotechnology, Biochemistry, or a related discipline with 1–3 years of relevant industry or research experience (including internships or postgraduate research).
• Foundational knowledge of molecular and cell biology principles.
• Some hands-on exposure to amplicon sequencing or other targeted NGS workflows; broader NGS experience is also welcomed.
• Experience with nucleic acid extraction, quantitation, and standard molecular biology techniques such as PCR, qPCR or d(d)PCR, gel electrophoresis.
• Strong attention to detail and commitment to rigorous, reproducible lab work.
• Ability to work both independently and collaboratively in a team-oriented environment.

Preferred Qualifications

• Proficiency with liquid handling platforms such as Hamilton, Beckman, or Bravo.
• Working familiarity with RNA therapeutic modalities such as ADAR editing, ASOs, siRNAs, or mRNA.
• Experience with mammalian cell culture, including transfection-based assays.
• Prior exposure to a biotechnology, pharmaceutical, or platform-driven research environment.

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 $75,000 - $90,000, and reflects Cambridge, USA-based roles; compensation may differ for Canada-based candidates.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.