Product Manager at BenchSci

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Life Sciences, Drug DevelopmentIndustries

Requirements

3+ years as a Product Manager on SaaS enterprise products or platforms with technically complex solutions (experience working on scientifically-informed data and products preferred)
Strong interest in science, particularly in biology
PhD in biology (or related field) and/or experience and knowledge of Biological Sciences (e.g., Molecular Biology, Bioinformatics, etc.) or equivalent (very strong asset)
Proven track record in bringing clarity to a complex domain and driving alignment between technical and data teams, and the rest of the company
Successfully taken new features from conception through launch to adoption, engagement, and retention
Experience influencing cross-functional teams to deliver outcomes over outputs
Prior experience in enterprise client-facing roles ideal but not required; experience interacting directly with highly technical stakeholders essential
Strong problem-solving skills: deal with ambiguity, lead discovery efforts, prioritize, and drive execution on objectives ensuring they ladder up to key strategies
Data-informed decision-making process; ability to identify new opportunities and provide sound reasoning for strategy decisions from data

Responsibilities

Develop strategy and roadmap for the experimental design and validation offering, including further innovation and optimization of existing features and functionality
Drive execution as part of a cross-functional team focused on this product (including Design, Engineering, Science, Data, and Project Management)
Translate customer needs into user, technical, and data requirements and related resources; iterate quickly on the product
Measure and report key metrics to internal stakeholders to demonstrate the value created by the team

Skills

Product Management

SaaS

Roadmap Development

Cross-functional Collaboration

Biology

Molecular Biology

Bioinformatics

Customer Requirements

Metrics Reporting

Feature Launch

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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