Knowledge EngineerSe....
Knowledge EngineerSenior Taxonomist Ontologist
Posted on :
27-03-2024
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
27-03-2024
Job Description
Role: Knowledge Engineer/Senior Taxonomist / Ontologist
Location: India Remote (Work from Anywhere in India)
Minimum Qualification B. Tech. (or equivalent) from an accredited institution
Indicative Experience: 5 years
Domain preferably life sciences or pharmaceuticals.
Customer Profile Captive research and development pods for a $500 million group of pharma data research companies that help patients gain access to lifesaving therapies We help our clients navigate the complexities at each step of the drug development life cycle from pipeline to patient.
Other benefits Health Insurance Provident Fund Life Insurance and Reimbursement of Certification
Expenses Gratuity 24x7 Health Desk
About the Company
We are headquartered in Pittsburgh USA with locations across the globe. We are a team of thoughtful experts driven by the power of our clients unique ideas. We also have micro offices in Hyderabad Chennai Bengaluru and Delhi NCR in India.
While technical expertise is ingrained into Agilites DNA we are more than just engineers and developers; we are
trusted product strategists. We pride ourselves on being a ready resource for critical market insights with the
knowledge and experience required to design build and scale big ideas to serve our growing list of customers in
the USA and Europe. Our preferred working model is Work from Anywhere (WFA). In addition you can also decide on your work schedule. All we need is the outcome.
Our peoplecentric culture is built on the belief that extraordinary employees create amazing things. Work with us
and attain your Ikigai in a place where your aspirations and business objectives intersect!
Core Skills:
We are looking for a Knowledge Engineer to join our Ontology Management team. We grow our coverage with huge reserves of pharmaceutical and healthcare data to accelerate clinical research and improve patient outcomes. Since we want to ensure our data works for our clients as well as possible we work to make sure it is structured to allow flexible use and now we want to grow this capability. As a Knowledge Engineer you will be part of a new team with a growing influence in the organization and key responsibilities will include:
- Designing and leading the development and QC of knowledge structures for key components of our life sciences data
- Incorporating new knowledge structures into our ontologies so that our products (and ultimately our clients) can utilize them
- Developing data standards for new areas as structures and data mapping processes are implemented
- Leading and delivering data discovery exercises
- Being responsible for the maintenance of evolving knowledge structures and associated data standards
- Coaching data analysts and contractors on data mapping and discovery projects
We will also be looking for you to:
- Collaborate with product teams on new product development
- Collaborate with Data Scientists and Data Engineers on implementation and research projects
- Collaborate with Content Leads to establish data standards for their domains
- Work with clients to resolve data challenges and promote incorporation of our data into their systems
- Act as an internal champion for data standards
Key skills/qualifications/experience we are looking for are:
- Degree in health sciences health information systems computer science mathematics or a related field
- 5 years (practical) experience designing and developing taxonomies/ontologies either coding them or via an interface preferably in life sciences
- 2 years experience developing and maintaining knowledge graphs
(a) Graphite (b)Graphologi (d) TopBraid (c)SciBites (f) Amazon Neptune (E)Pool Party
- 2 years experience manipulating life science data
- Analytical mindset
- Experience using ontology management tools
- Familiarity with RDF SPARQL
- An understanding of dependencies on data connections
- Project management/leadership experience
- Interest in and ideally some familiarity with NLP/NLU and AI techniques
- A desire to make healthcare data work better
Good to have:
- Proficiency in SQL
- Knowledge of Agile methodologies
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Employment Type
Full Time
Company Industry
Key Skills
- Graph Databases
- Data Analytics
- AI
- Ontology
- OWL
- RDF
- SPARQL
- Natural Language Processing
- Neo4j
- Knowledge Management
- Taxonomy
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