Science Tech Lead at BenchSci

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, SoftwareIndustries

Requirements

PhD in bioinformatics, life sciences, or related scientific discipline
3-5+ years as a Tech Lead or in a similar role (e.g., Computational Biologist, Lead Scientist)
Experience using major biological resources such as Ensembl, UniProt, and Entrez
Proficient in data processing and wrangling tools such as Python, SQL, and Excel
Experience working with large datasets, preferably scientific databases
Experience with Immunological methods (in vitro, cell-based and analytical)
Experience with Genetics (cloning, CRISPR, NGS, PCR)
Experience with Analytical Biology (pharmacokinetics/pharmacodynamics, LC/MS, SPR)
Experience with In vivo studies (cell cultures, animal models)
Demonstrated interest in data curation with exceptional attention to detail
Strong organizational and time management skills

Responsibilities

Oversee and contribute to the maintenance of bioinformatics ontologies
Integrate internal and external datasets into unified knowledge graphs or databases with appropriate metadata and provenance tracking
Maintain and enhance existing reagent mapping pipelines
Design and implement new pipelines to improve the efficiency of existing methods
Lead data analysis projects and evaluations to derive actionable biological or technical insights
Collaborate with software engineers and data scientists to optimize performance, automation, and data integrity
Drive the design and development of new bioinformatics features, tools, and pipelines
Lead research initiatives to expand and refine methods for data collection, integration, and analysis
Provide scientifically grounded recommendations to guide technical decisions
Mentor and support junior scientists

Skills

Bioinformatics

Data Analytics

Data Processing

Problem-Solving

Scientific Research

Database Management

Knowledge Graphs

Ontologies

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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