Deep Genomics

Deep Genomics

Principal Research Associate

Cambridge, MA · Principal

Sponsorship not specified$115k-$135kDetected 1 day ago
Machine LearningData ScienceBioinformaticsPCRqPCRMolecular BiologyResearchExperimental DesignProtein AnalysisWestern BlottingCommunicationOrganizational Skills

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Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

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About the role

  • The 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 be responsible for helping characterize our novel compounds, including performing automated high-throughput arrayed screening, as well as downstream characterization of these molecules.
  • The ideal candidate will have strong cell biology expertise, and hands-on experience using primary hepatocyte cells.

Responsibilities

  • Design, optimise and execute robust cell-based assays, to support compound screens and lead optimisation.
  • Culture, maintain and transfect a variety of mammalian cell lines, such as immortalized cell lines, primary cells and co-culture systems, and onboard new cell types and systems to enable drug discovery.
  • Perform standard molecular biology techniques (e.g. PCR, qPCR, Jess/Leo Automated Westerns, ELISA, Western blot, etc.).
  • Collaborate with a cross-functional team in a dynamic, matrixed environment to achieve shared company deadlines, and communicate experimental design and findings with colleagues and project teams.
  • Clearly document experiments, standard operating procedures (SOPs) and data in an electronic lab notebook (ELN).
  • Further, you will be instrumental in helping develop, optimise and implement novel cellular and protein assays to advance our internal therapeutics portfolio.
  • Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.

Requirements

  • BS or MS in Biology, Molecular Biology, Genomics, Biochemistry or a related field with 4+ years of relevant pharmaceutical or biotechnology experience.
  • Relevant knowledge of RNA modalities such as ADAR, ASO, mRNA and/or siRNAs is also highly beneficial.

Nice to have

  • Hands-on experience using primary hepatocytes is strongly preferred.
  • Proficiency in automated Western blotting methods, such as the Jess/Leo platforms.
  • Flow cytometric experience is a plus.
  • Experience with high-throughput liquid handlers (e.g. Beckman Echo, Agilent Bravo and/or Hamilton STAR/STAR V).
  • Next-generation sequencing library preparation, e.g. amplicon sequencing.
  • Past experience with RNA editing and/or RNA oligonucleotides.
  • Demonstrated experience working in cross-functional teams.

Compensation

  • The salary range for this role is $115,000 - 135,000, and reflects Cambridge, USA-based roles.

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

Company info

  • 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, drug development, bioinformatics, data science, genetics and chemistry, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how medicines are created.
  • The successful candidate should demonstrate initiative, technical ownership and be able to thrive in a dynamic work environment with cross-functional teams working together to achieve company goals.
  • We offer competitive compensation aligned with local market benchmarks.

Equal opportunity

  • 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.

This listing is sourced directly from Deep Genomics's careers page and normalized into a canonical job model.