Senior Research Associate, Platform Biology

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

The Senior/Principal Research Associate will join our Platform Biology team and will be a key player in driving our cutting-edge AI RNA therapeutics discovery platform. In this role, you will support novel target validation by utilizing a variety of genome engineering approaches in both pooled and arrayed formats. The ideal candidate will have strong gene editing, cell biology and molecular biology experience in an industrial setting. Prior experience with oligonucleotide therapeutics such as ADAR, ASO, and/or siRNAs is also highly beneficial. The successful candidate should demonstrate initiative and be able to thrive in a dynamic work environment with cross-functional teams working together to achieve company goals.

• Title will be commensurate with prior experience.
  
  

This position is onsite at our Cambridge, MA site.

Key Responsibilities

• Plan and execute genome engineering experiments to generate models for target validation.
• Execute barcoded pooled screening assays, including NGS library preparation.
• Support the development of novel biochemical, cellular and functional assays for our internal therapeutic pipeline.
• Maintain and transfect a variety of mammalian cell lines, such as immortalized cell lines.
• Perform standard molecular biology techniques (e.g. PCR, qPCR, molecular cloning, etc.).
• Collaborate with a cross-functional team in a dynamic, matrixed environment to achieve shared company deadlines.
• Clearly document experiments, standard operating procedures (SOPs) and data in an electronic lab notebook (ELN).
• Communicate and present experimental design and findings with colleagues and project teams.
  
  

Basic Qualifications

• Bachelor’s or Master’s in Biology, Molecular Biology, Genomics, Biochemistry or a related field with 2-4 years of relevant pharmaceutical or biotechnology experience.
• Gene editing experience in an industrial setting.
• Strong understanding of molecular and cell biology.
• Experience growing, maintaining and transfecting mammalian cell lines.
• Experienced in design and execution of molecular and cellular assays.
• Excellent communication, organizational skills and a willingness to learn.
• Ability to work independently and manage priorities in a fast-paced technical environment.
  
  

Preferred Qualifications

• Experience in lentivirus generation, cell line engineering, or flow cytometry is a plus.
• Prior therapeutics development experience.
• Past experience with RNA editing and/or RNA oligonucleotides.
• Next-generation sequencing library preparation, e.g. amplicon sequencing.
• Demonstrated experience working in cross-functional teams.
  
  

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; 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.