Senior Research Associate at Deep Genomics

Cambridge, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Drug DiscoveryIndustries

Requirements

BS or MS in Biology, Molecular Biology, Genomics, Biochemistry or a related field with 2-4+ years of relevant pharmaceutical or biotechnology experience
Strong understanding of molecular and cell biology
Experience growing, maintaining and transfecting mammalian cell lines
Hands-on experience using liquid handlers is essential
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
Proficiency with specific liquid handlers such as the Beckman Echo, Agilent Bravo and Hamilton STAR/STAR V
Experience with primary hepatocytes or other primary human cells is highly beneficial
Past experience with RNA editing and/or RNA oligonucleotides
Next-generation sequencing library preparation, including single-cell methods
Demonstrated experience working in cross-functional teams

Responsibilities

Plan and execute screening assays to enable drug discovery, aided by high-throughput liquid handlers
Culture, maintain and transfect a variety of mammalian cell lines, such as immortalized cell lines and primary cells
Support the development of novel molecular, cellular and functional assays for our internal therapeutic pipeline
Perform standard molecular biology techniques (e.g. PCR, qPCR, ELISA, Western blot, 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

Skills

Key technologies and capabilities for this role

cell biologyhigh-throughput screeningliquid handlersmammalian cell culturetransfectionmolecular biologycellular assaysRNA therapeuticsADARASOmRNAsiRNA

Questions & Answers

Common questions about this position

Is this position remote or onsite?

This position is onsite at the company's Cambridge, MA site.

What are the basic qualifications for this role?

Candidates need a BS or MS in Biology, Molecular Biology, Genomics, Biochemistry or related field with 2-4+ years of relevant pharmaceutical or biotechnology experience, strong understanding of molecular and cell biology, experience with mammalian cell lines, hands-on use of liquid handlers, and experience in molecular and cellular assays.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the work environment like at Deep Genomics?

The role involves thriving in a dynamic work environment with cross-functional teams in a matrixed setting to achieve company goals.

What makes a strong candidate for this Senior Research Associate role?

Ideal candidates have strong cell biology and high-throughput screening experience in an industrial setting, plus relevant knowledge of RNA modalities such as ADAR, ASO, mRNA and/or siRNAs.

Deep Genomics

AI-driven drug discovery and development

About Deep Genomics

Deep Genomics focuses on drug development in the biotechnology sector by utilizing artificial intelligence to explore RNA biology and discover potential therapies for genetic conditions. The company's main product, the AI Workbench, employs data-driven predictions to identify new drug targets. This tool has evolved over time, with the latest version, AI Workbench 3.0, set to enhance its capabilities in targeting complex genetic diseases. Deep Genomics serves a diverse clientele, including pharmaceutical companies and research institutions, and generates revenue through the development and licensing of its AI Workbench. The goal of Deep Genomics is to accelerate the drug discovery process and improve treatment options for patients suffering from genetic disorders.

Toronto, CanadaHeadquarters

2014Year Founded

$230.3MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, BiotechnologyIndustries

51-200Employees

Benefits

Company Equity

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Professional Development Budget

Risks

Increased competition from companies like Insitro and Recursion Pharmaceuticals.

Rapid technological advancements may render current AI Workbench obsolete.

Ethical concerns and regulatory scrutiny could delay product development timelines.

Differentiation

Deep Genomics uses AI to unravel RNA biology for drug development.

The AI Workbench identifies novel drug targets and therapeutic candidates.

BigRNA model advances RNA disease mechanism discovery and candidate therapeutics.

Upsides

AI integration with CRISPR allows precise gene editing and therapeutic development.

AI-driven platforms optimize clinical trial designs, reducing costs and time to market.

AI identifies novel biomarkers, expanding target discovery capabilities.

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