Accounting Associate at Deep Genomics

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Drug Development, AIIndustries

Requirements

An undergrad degree or diploma in accounting, finance or a related field
Experience working effectively in AP role with three-way matching
Solid understanding of basic bookkeeping and accounting principles including various data segments like Departments and Projects
Diligence and strong attention to detail
Curiosity and confidence to ask questions and seek clarity when needed
Generally tech savvy and quick learner of new software applications
Proficiency with spreadsheets, including lookups and pivot tables
Strong communication and interpersonal skills, with the ability to collaborate with both internal and external stakeholders to solve payment and invoice inquiries
Preferred Qualifications
1-3 years of experience with ERP and procurement systems an asset (preferably NetSuite and Coupa)

Responsibilities

Review, process, and match vendor invoices, credit notes, and receipts for multiple subsidiaries, ensuring all entries are accurate and follow the proper approval flow
Manage communication with internal teams and vendors by monitoring and responding to inquiries, reconciling statements, and resolving discrepancies promptly
Applying vendor payments to invoices
Coding line level details such as department, account and project for employee reimbursements and credit card spend
Assist with period end closing procedures including: preparing journal entries and supporting working papers and reconciling AP subledger to general ledger

Skills

NetSuite

Coupa

Accounts Payable

Invoice Processing

Vendor Management

Journal Entries

Month-End Close

General Ledger Reconciliation

Procurement

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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