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For Companies At a Glance
- Tasks: Design and develop ontologies for the pharmaceutical industry while collaborating with experts.
- Company: Join Rancho BioSciences, a leader in data curation and bioinformatics.
- Benefits: Enjoy a competitive salary, flexible remote work, and private medical coverage.
- Why this job: Make a real impact in drug discovery and biomedical research from anywhere.
- Qualifications: Advanced degree in life sciences or relevant experience with ontologies and data standards.
- Other info: Be part of a rapidly growing team with excellent career growth opportunities.
The predicted salary is between 60000 - 75000 £ per year.
Join Our Team at Rancho BioSciences! As we continue to grow, Rancho BioSciences is seeking a detail-oriented and scientifically grounded Ontologist to support the modeling, standardization, and integration of structured data. The ideal candidate will have a life-sciences background and experience working with biomedical ontologies, controlled vocabularies, and data standards.
Who We Are
Rancho BioSciences is a globally recognized leader in providing advanced services and products across data curation, governance, bioinformatics, and AI-driven analytics. Our expertise includes workflows and pipeline design, knowledge mining, target profile generation, and business analysis, all delivered with a steadfast commitment to innovation and quality. We collaborate with research foundations, biotech companies, government labs, and academic institutions to enable breakthroughs in drug discovery, biomedical research, and precision medicine. Our mission is to bridge science and healthcare, helping to transform raw data into actionable insights that drive new discoveries and improve patient care across the globe. As a fully remote and rapidly growing global team, we are excited to expand and welcome talented individuals to help us shape the future of data science.
What You'll Do
- Design, develop, and maintain ontologies and controlled vocabularies for domains relevant to the pharmaceutical industry.
- Harmonize and map scientific data to established biomedical ontologies and standards (e.g., CDISC, Allotrope, ISO IDMP).
- Implement, leverage, and support metadata and data management solutions and best practices.
- Work closely with subject matter experts, data scientists, and software engineers to support data modeling and knowledge graph development.
- Drive ontology governance and change management activities in collaboration with internal and external stakeholders.
What We're Looking For
Must-Haves
- Advanced degree (Ph.D. or M.S.) in life sciences, chemistry, or related science fields. Bachelor's degree will be considered with 3-5 years relevant experience.
- Solid understanding of ontologies, controlled terminologies, and semantic data modeling (e.g., OWL, RDF, SKOS).
- Hands-on experience with semantic tools such as CENtree, Protégé, PoolParty, TopBraid or similar ontology development environments.
- Understanding data standards, semantics, terminologies, ontologies, and best practices for data governance.
- Familiarity with the FAIR (Findable, Accessible, Interoperable, and Reusable) data guiding principles.
- Excellence in managing scientific stakeholder relationships.
- Independently driven, hardworking, and committed.
- Strong communication skills and ability to work cross-functionally with technical and non-technical teams.
- Detail-oriented and well organized, with an ability to work collaboratively and remotely.
Nice-to-Haves
- Scripting skills e.g. Python, shell-scripting, R.
- Understanding of and contributions to public biomedical ontologies and standards consortiums (e.g., BioPortal, OLS, Allotrope, IDMP, NIIMBL, MeSH, CDISC) is a plus.
- Experience with software development life cycle methodologies, unit and integration testing, and documentation development.
- Experience with data integration platforms or knowledge graphs.
- Experience translating project requirements to both business process solutions and technical solutions.
Why You'll Love Working at Rancho BioSciences
- Great opportunities to grow and develop with the company as we scale.
- Competitive base salary.
- Fully Remote environment - work from anywhere!
- Flexible work arrangements.
- Great company swag.
- Private medical coverage and/or personal stipend, to ensure you and your family's wellbeing.
- Participation in country-specific financial empowerment programs (401k, Pension/Retirement, FSA/HSA, etc.).
Salary range (Europe): €75,000-€90,000. We benchmark compensation by location. If you are viewing this role from outside Europe, you may see the US range ($85,000-$125,000 USD) on some platforms; that range applies only to US-based employment.
Rancho BioSciences is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status under applicable laws.
Scientist/Sr Scientist - Ontology - Europe - Remote employer: Rancho BioSciences LLC
Contact Detail:
Rancho BioSciences LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientist/Sr Scientist - Ontology - Europe - Remote
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of ontology and data science on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with ontologies and data standards. Include any projects or contributions to public biomedical ontologies. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions related to ontology and data management. Practice articulating your experience with semantic tools and data governance. The more prepared you are, the more confident you'll feel during the interview.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining Rancho BioSciences. It shows initiative and interest in our mission. Plus, it’s the best way to ensure your application gets noticed!
We think you need these skills to ace Scientist/Sr Scientist - Ontology - Europe - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with ontologies and data standards. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ontology and how your expertise can contribute to our mission at Rancho BioSciences. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to mention any hands-on experience with semantic tools or programming languages like Python. We love seeing candidates who can bring technical know-how to the table, so make sure to highlight these skills!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our amazing team at Rancho BioSciences!
How to prepare for a job interview at Rancho BioSciences LLC
✨Know Your Ontologies
Make sure you brush up on your knowledge of ontologies and controlled vocabularies relevant to the pharmaceutical industry. Be prepared to discuss specific examples of how you've worked with semantic data modelling tools like OWL or RDF, as this will show your expertise and fit for the role.
✨Showcase Your Collaboration Skills
Since the role involves working closely with subject matter experts and data scientists, be ready to share examples of how you've successfully collaborated in cross-functional teams. Highlight your communication skills and any experiences where you’ve managed stakeholder relationships effectively.
✨Demonstrate Your Problem-Solving Abilities
Prepare to discuss challenges you've faced in ontology governance or data management and how you overcame them. This could involve sharing specific projects where you implemented best practices or improved processes, showcasing your independent drive and commitment.
✨Familiarise Yourself with FAIR Principles
Understanding the FAIR principles is crucial for this position. Be ready to explain how these principles apply to your work and provide examples of how you've ensured data is Findable, Accessible, Interoperable, and Reusable in your previous roles.