Scientific Knowledge Engineer

6 days ago

Durham, United States Experis Full time

Our client, in the biopharma industry is seeking a Scientific Knowledge Engineer to join their team. This role is responsible for maximizing the value of our client's data assets over a lifetime to bring purpose to data by acting as translators of highly technical information from domain experts into an appropriate data model - complete with significant ontology and vocabulary -- that can be utilized to effectively structure and index the data.

This is an exciting opportunity to join a cutting-edge team focused on unlocking the full potential of scientific data to drive innovation and discovery in the life sciences.

Job Title: Scientific Knowledge Engineer
Pay Range: $75-$85/hr
Duration: 12 months (potential to extend/convert)

What’s the Job?

  • Define schemas, data models, and vocabularies to structure and index scientific data, ensuring quality control and mapping for data engineering processes.
  • Collaborate with product managers and engineers to translate scientific business needs into actionable data models and requirements for large-scale biological data integration.
  • Align data standards with industry and academic ontologies, supporting the creation of interoperable, analytics-ready data products.
  • Ensure data ingestion meets platform engineering standards by standardizing and structuring metadata for efficient, automated processing at scale.
  • Provide subject matter expertise to transform complex scientific information into actionable data insights for R&D decision-making.

What’s Needed?

  • Bachelor’s degree in Bioinformatics, Biomedical Science, Engineering, Molecular Biology, or Computer Science with 5-8 years of relevant experience.
  • Proficiency in relational database querying (e.g., SQL) and data modeling using industry-standard data management/metadata platforms (e.g., Collibra, Informatica).
  • Experience with data quality, analysis, and profiling tools (e.g., SAS, Ataccama, OpenRefine) and programming languages like Python for scripting and building data models.
  • Familiarity with ontology, knowledge graphs, and open-source tools (e.g., Protégé, SPARQL, RDF, Centree).
  • Proven ability to lead cross-functional teams and contribute to data standards or industry committees.

What’s in it for me?

  • Health
  • Dental
  • Vision
  • 401k
  • Consultant Support

If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you

About ManpowerGroup, Parent Company of:  Manpower, Experis, Talent Solutions, and Jefferson Wells

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

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