Senior Software Engineer - Data at BenchSci

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Scientific ResearchIndustries

Requirements

Degree in Software Engineering, Computer Science, or a similar area
4+ years of experience working as a professional software engineer, data in industry
Expertise with Python and SQL
Experience with Retrieval Augmented Generation (RAG)
Experience with cloud development (GCP and Terraform)
Strong background in data structures and large-scale data manipulation
Strong cross-team communication and collaboration skills

Responsibilities

Scale data pipelines to allow data to go from research to platform as fast as possible
Collaborate with ML and Data engineers to solve complex document mining challenges
Develop data access mechanisms for downstream applications consumption
Expand the types of biological reagents and experiments that can be extracted from various types of media
Manage sources that contain both semi-structured and unstructured data
Apply state-of-the-art data processing engines to rapidly process data sets
Employ best practices for a broad platform of technologies within a cloud-based environment
Provide troubleshooting analysis and resolution in a timely manner
Work on projects involving some of the largest pharmaceutical companies in the world
Solve difficult problems and bring new perspectives to the team

Skills

Python

SQL

Data Structures

Large-Scale Data Manipulation

Cloud Development

Terraform

GCP

Retrieval Augmented Generation (RAG)

Data Pipelines

Data Modeling

BenchSci

AI-driven platform for preclinical research

About BenchSci

BenchSci operates in the biotechnology sector, specializing in preclinical research and development. The company uses artificial intelligence and machine learning to create a detailed map of disease biology, which helps scientists understand existing research and improve their R&D efficiency. Its main product, ASCEND, is a platform that extracts evidence from various data sources to assist scientists in hypothesis generation and risk identification. BenchSci aims to enhance research capabilities and reduce risks in preclinical studies.

Toronto, CanadaHeadquarters

2015Year Founded

$156.6MTotal Funding

SERIES_DCompany Stage

AI & Machine Learning, BiotechnologyIndustries

201-500Employees

Benefits

Remote-first culture

Equity options

15 days vacation + additional day every year

Unlimited flex time

Comprehensive health & dental benefits

Psychotherapist services

Annual Learning & Development budget

Home office set-up budget

Wellness, lifestyle & productivity spending account

Risks

17% workforce reduction may impact morale and innovation at BenchSci.

Heavy reliance on external funding poses financial risks if future rounds falter.

Rapid team expansion could lead to integration challenges and inefficiencies.

Differentiation

BenchSci's ASCEND platform uses AI to map disease biology for drug discovery.

ASCEND helps scientists identify risks and generate hypotheses in preclinical R&D.

BenchSci's AI Reagent Selector improves reagent selection efficiency in drug development.

Upsides

$95M Series D funding boosts BenchSci's AI platform development and market reach.

Generative AI integration enhances ASCEND's predictive capabilities for hypothesis generation.

Recognition as a Best Workplace for Inclusion attracts top talent and fosters innovation.

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