BenchSci

Toronto, Ontario, CAN
326 Total Employees
Year Founded: 2015

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Jobs at BenchSci
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Recently posted jobs

3 Hours Ago
Remote
Toronto, ON, CAN
Artificial Intelligence • Software • Biotech • Pharmaceutical
The Customer Impact Lead will drive strategic projects to enhance the value of BenchSci's ASCEND platform in pharmaceutical research, collaborating with stakeholders to deliver insights and optimize operations.
13 Hours Ago
Remote
Toronto, ON, CAN
Artificial Intelligence • Software • Biotech • Pharmaceutical
The Lead Product Manager will oversee product strategy and execution, manage cross-functional teams, and drive innovation for life science and data products.
3 Days Ago
Remote
Toronto, ON, CAN
Artificial Intelligence • Software • Biotech • Pharmaceutical
The Senior R&D Engineer will design experiments using ML models, integrate proof-of-concepts into existing data pipelines, optimize performance, and collaborate across teams to enhance discovery projects. This role requires expertise in modern data tools, high-quality code development, and effective communication with stakeholders.
9 Days Ago
Remote
Toronto, ON, CAN
Artificial Intelligence • Software • Biotech • Pharmaceutical
Lead a team of engineers in designing, developing, and deploying data and machine learning solutions while fostering a high-performance culture.
10 Days Ago
Remote
Toronto, ON, CAN
Artificial Intelligence • Software • Biotech • Pharmaceutical
The Communications Specialist will develop and execute internal and external communication strategies, enhance brand visibility, manage media relations, and collaborate cross-functionally to support various departments.
11 Days Ago
Remote
Toronto, ON, CAN
Artificial Intelligence • Software • Biotech • Pharmaceutical
The IAM Specialist will manage user access, support IAM tool evaluation, collaborate with engineering and product teams, and ensure compliance in IAM processes.
12 Days Ago
Remote
Toronto, ON, CAN
Artificial Intelligence • Software • Biotech • Pharmaceutical
The Senior Software Data Engineer will evolve data models, operationalize data pipelines, and collaborate with the Data Team on scientific discovery.