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For Companies At a Glance
- Tasks: Design and develop ontologies for the pharmaceutical industry while collaborating with experts.
- Company: Rancho BioSciences, a leader in data curation and bioinformatics.
- Benefits: Competitive salary, remote work, flexible arrangements, and private medical coverage.
- Why this job: Join a global team shaping the future of data science and healthcare.
- Qualifications: Advanced degree in life sciences and experience with biomedical ontologies required.
- Other info: Great growth opportunities and a commitment to innovation.
The predicted salary is between 60000 - 72000 £ 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 in England employer: Rancho Bio Sciences
Contact Detail:
Rancho Bio Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientist/Sr Scientist in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the life sciences field and let them know you're on the hunt for a Scientist/Sr Scientist role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your experience with ontologies and data standards. Engage with relevant content and connect with professionals in the biomedical space to increase your visibility.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of semantic data modelling and the tools mentioned in the job description. Be ready to discuss how your skills align with Rancho BioSciences' mission and how you can contribute to their innovative projects.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Rancho BioSciences.
We think you need these skills to ace Scientist/Sr Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your life sciences background and experience with biomedical ontologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 data standards. We love seeing candidates who are familiar with tools like Protégé or CENtree, so make sure to include those details in your application.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Rancho Bio Sciences
✨Know Your Ontologies
Make sure you brush up on your knowledge of biomedical ontologies and controlled vocabularies. Be prepared to discuss specific examples of how you've worked with these in the past, as well as any tools like Protégé or CENtree that you've used.
✨Showcase Your Communication Skills
Since you'll be working cross-functionally, it's crucial to demonstrate your ability to communicate complex scientific concepts clearly. Think of examples where you've successfully collaborated with both technical and non-technical teams.
✨Understand Data Standards
Familiarise yourself with data standards like CDISC and ISO IDMP. During the interview, highlight your understanding of these standards and how they relate to ontology governance and data management solutions.
✨Be Ready for Scenario Questions
Prepare for scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in previous roles related to data integration or ontology development, and how you overcame them.
