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Biological Ontologist

We are looking for an experienced Staff Scientist (Biological Ontologist)  to join our growing Product & Science Team. You will be responsible for developing and managing ontologies to enhance data integration and support AI-driven drug discovery processes. This role will work with our innovative product, built on a knowledge graph of experimental evidence extracted from the corpus and a biological ontological knowledge base that acts as the semantic foundation for our proprietary data. We are seeking a candidate with subject matter expertise in biomedical data to continue evolving our proprietary biological ontological knowledge base.


You Will
  • Devise and implement the strategy for developing and maintaining BenchSci's proprietary biological ontology.
  • Define the diverse biomedical data sources that will be integrated into our ontology, ensuring high-quality and comprehensive coverage.
  • Work with Engineering to develop and deliver a data integration plan that guarantees interoperability and seamless integration of diverse biomedical data.
  • Collaborate closely with engineering and  product teams to maximise the impact of our ontology on product development.
  • Collaborate with Engineering in defining the data strategy that ensures BenchSci’s ontology retains a high degree of connectivity enabling traversal and reasoning over our data by leveraging mid to high level ontologies and interoperability-enabling xref metadata.
  • Advise Engineering colleagues on the evolution of our internal data model to ensure we minimise semantic lossiness when mapping entity types and predicates from third party ontologies to BenchSci’s proprietary ontology.
  • Demonstrate strong leadership, making sound decisions in a fast-paced and evolving environment.
  • Implement and oversee "quality by design" principles to maintain the accuracy, consistency, and completeness of BenchSci's ontological data.
  • Create and maintain thorough documentation of our ontology, including definitions, relationships, and user guidelines.
  • Provide training and support to internal teams on ontological principles, design, development and best practices.


You Have
  • A minimum of a Master’s degree in Bioinformatics, Biology, Computer Science, Information Science, or a related field. A Ph.D. is preferred.
  • 7+ years of industry experience in ontology development and management, particularly in biotechnology or life sciences.
  • Experience leveraging high and mid-level biological ontologies such as BioLink.
  • Proficiency in ontology languages (e.g., OWL, RDF), ontology development tools (e.g., Protégé), ontology query language (SPARQL, cypher, SQL, GQL),  and some familiarity with relevant programming languages (e.g., Python).
  • Familiar with ontology reasoning tools, particularly in the biology domain (e.g. ELK, HermiT, and Pellet). 
  • Experience with applying these tools for tasks like classification and consistency checking in biomedical ontologies.
  • A solid understanding of graph validation concepts, including SHACL (Shapes Constraint Language), to ensure data integrity and compliance within ontological frameworks.
  • Strong understanding of biological concepts and terminologies and a deep understanding of biomedical ontologies (e.g., MONDO, MeSH, SNOMED CT).Deep understanding of the crucial role that ontologies play in providing a foundational semantic layer to knowledge graphs.
  • Ability to analyse complex data and develop logical, ontological structures.
  • High accuracy and attention to detail in managing and curating biological ontological data.
  • Strong problem-solving abilities to address data integration and interoperability challenges.
  • Excellent written and verbal communication skills to effectively document and convey complex ontological information.
  • Strong interpersonal skills and the ability to work collaboratively within multidisciplinary teams.
  • Deep industry knowledge and awareness of current trends and advancements in biotechnology and life sciences.
  • Ability to adapt to evolving technologies and methodologies in ontology and biotechnology.


Benefits and Perks: 

An engaging remote-first culture 

A great compensation package that includes BenchSci equity options

A robust  vacation policy plus an additional vacation day every year

Company closures for 14 more days throughout the year

Flex time for sick days, personal days, and religious holidays

Comprehensive health and dental benefits.

Annual learning & development budget

A one-time home office set-up budget to use upon joining BenchSci

An annual lifestyle spending account allowance

Generous parental leave benefits with a top-up plan or paid time off options

The ability to save for your retirement coupled with a company match!


About BenchSci:

BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. 

Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.


Our Culture:

BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. 

We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. 

You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible.  Learn more about our culture.


Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey.  Learn more about our DEI initiatives.


Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.


#LI-Remote

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What You Should Know About Biological Ontologist, BenchSci

Join the innovative team at BenchSci as our new Staff Scientist (Biological Ontologist) in the vibrant city of Toronto, Ontario! We’re on the lookout for a passionate individual who has a strong background in ontology development and management, particularly within the biomedical field. In this exciting role, you will be at the forefront of enhancing data integration and supporting cutting-edge AI-driven drug discovery processes. You'll devise and implement strategies for developing our proprietary biological ontology, collaborating with engineering and product teams while ensuring our data remains comprehensive and high-quality. Your expertise will help us shape the future of our product, allowing for seamless integration of diverse biomedical data. Moreover, you’ll have the opportunity to mentor and support your internal teammates on best practices and ontological principles. If you’re someone who thrives in fast-paced environments and has an insatiable curiosity for biomedical concepts and technologies, this is the perfect opportunity for you! At BenchSci, we value teamwork, transparency, and continuous growth, and we’re committed to creating an inclusive environment where you can truly shine.

Frequently Asked Questions (FAQs) for Biological Ontologist Role at BenchSci
What are the primary responsibilities of a Biological Ontologist at BenchSci?

As a Biological Ontologist at BenchSci, you will primarily focus on developing and managing ontologies that enhance data integration, supporting AI-driven drug discovery. Your tasks will include implementing strategies for our proprietary biological ontology, outlining biomedical data sources, and collaborating closely with engineering and product teams to maximize the ontology's impact on product development.

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What qualifications do I need to apply for the Biological Ontologist position at BenchSci?

To apply for the Biological Ontologist position at BenchSci, you should have a minimum of a Master’s degree in Bioinformatics, Biology, Computer Science, or a related field, with a Ph.D. preferred. You’ll also need at least 7 years of industry experience in ontology development within biotechnology or life sciences.

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How does the Biological Ontologist support AI-driven drug discovery at BenchSci?

The Biological Ontologist plays a vital role in supporting AI-driven drug discovery at BenchSci by developing high-quality ontologies that serve as the semantic foundation for our proprietary data. This involves integrating diverse biomedical data sources, ensuring connectivity and interoperability, and advising on internal data models, enabling effective reasoning and traversal over the knowledge base.

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What kind of tools and technologies will I be working with as a Biological Ontologist?

As a Biological Ontologist at BenchSci, you will work with ontology languages like OWL and RDF, development tools such as Protégé, and query languages including SPARQL and SQL. Familiarity with ontology reasoning tools in the biology domain will also be beneficial for tasks like classification and consistency checking.

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What is the work culture like for Biological Ontologists at BenchSci?

The work culture for Biological Ontologists at BenchSci is inclusive, transparent, and growth-oriented. We pride ourselves on fostering a collaborative environment where every team member is valued and encouraged to contribute to the mission of empowering scientists. You'll be surrounded by skilled experts committed to supporting your development and success.

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Common Interview Questions for Biological Ontologist
Can you explain your experience with ontology development and how it relates to biomedical data?

In answering this question, emphasize your previous work in ontology development, demonstrating familiarity with key concepts, tools, and languages. Share specific examples of projects where you've integrated biomedical data, highlighting challenges you overcame and how your contribution enhanced data interoperability.

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How do you ensure high-quality ontological data and minimize semantic lossiness?

Discuss the methodologies you use for quality assurance, such as implementing 'quality by design' principles. Explain how you evaluate data consistency and accuracy using tools and techniques specific to ontology environments to maintain the integrity of the data.

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What is your approach to collaborating with engineering and product teams?

Explain your communication style and how you prioritize alignment with engineering and product teams. Provide examples of successful collaborations that led to impactful outcomes, focusing on how your ontological insights informed product development and data strategies.

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What tools do you consider essential for ontology management, and why?

Mention tools like Protégé, OWL, and SPARQL, elaborating on how each tool enhances your workflow and efficiency in ontology management. Provide examples of tasks you've completed with these tools to demonstrate their importance in your work.

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How do you stay current with advancements in biology and ontology development?

Share your strategies for staying informed, such as regularly reading scientific journals, attending conferences, or participating in professional networks. Emphasize your commitment to continuous learning and how it enhances your role as a Biological Ontologist.

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Describe your experience with graph validation concepts, particularly SHACL.

Provide an overview of your knowledge of SHACL and how you've employed graph validation concepts in your previous roles. Discuss specific situations where you've ensured data integrity and compliance within ontological frameworks.

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Can you provide an example of a challenging ontology problem you solved?

Frame your answer around a specific challenge you faced in ontology development. Explain the problem, the steps you took to resolve it, and the outcome. Focus on your analytical and problem-solving skills.

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What role do you believe ontologies play in AI-driven research?

Articulate your understanding of how ontologies provide foundational structuring that enables effective reasoning and data integration for AI applications. Discuss specific examples of how ontologies have supported research processes in your experience.

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How do you define successful ontology integration with biomedical data?

Define success in terms of data accessibility, interoperability, and enhanced research outcomes. Provide examples from your past work that illustrate these criteria, discussing metrics you used to measure integration success.

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What strategies do you use for training and supporting internal teams on ontological principles?

Outline your approach to training, including developing resources, personalized support sessions, and ongoing documentation. Share examples of how your training efforts have positively impacted team members' understanding and application of ontological concepts.

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At BenchSci, our mission is to exponentially increase the speed and quality of life-saving research. We do so by empowering scientists with the world’s most advanced biomedical artificial intelligence so they can run more successful experiments.

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