Deep Genomics

Biotech

SeniorResearchAssociate,PlatformBiology

$90–110k Cambridge, Massachusetts, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Research Associate, Platform Biology at Deep Genomics. Skills: Genome engineering, Cell biology, Molecular biology, Assay development. Plan genome engineering experiments. Execute genome engineering experiments”

Industry & Context.

Biotech

What They're Looking For.

Must Have

Bachelor’s or Master’s in Biology, Molecular Biology, Genomics, Biochemistry or related field, 2-4+ years relevant pharmaceutical or biotechnology experience, Gene editing experience in industrial setting, 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 skills, Excellent organizational skills, Willingness to learn, Ability to work independently, Manage priorities in fast-paced technical environment

Nice to Have

Experience in lentivirus generation, Cell line engineering experience, Flow cytometry experience, Prior therapeutics development experience, Past experience with RNA editing, Past experience with RNA oligonucleotides, Next-generation sequencing library preparation, Demonstrated experience working in cross-functional teams

What You'll Do.

Plan genome engineering experiments

Execute genome engineering experiments

Generate models for target validation

Execute barcoded pooled screening assays

Prepare NGS libraries

Support development of biochemical assays

Support development of cellular assays

Support development of functional assays

Maintain mammalian cell lines

Transfect mammalian cell lines

Perform molecular cloning

Communicate experimental design

Present experimental findings

How You'll Work.

Team & Collaboration

Cross-functional team; Dynamic, matrixed environment; Shared company deadlines

Communication Scope

Present experimental findings

Full Job Description

## Description 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 pro

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