Labcorp Genetics needs to build tools and provide services that help their scientists interact with, manage, and consume knowledge from scientific literature to support accurate and timely genetic results. The genetic testing space is moving and expanding quickly, requiring reliable, scalable, and easy-to-build services. They are looking for an engineering leader to guide them through this transformation.
Requirements
- Proficiency in Python (intermediate level or higher) required. Ability to understand and modify existing code as well as develop new scripts and set up new data processing workflows.
- Experience with relational databases and web development frameworks is essential
- Experience with biomedical information resources (e.g. PubMed), literature and/or patent research, information analysis and data normalization is needed.
- Experience in Spark, text mining, natural language processing, semantic enrichment, ontologies, data mining or machine learning/AI is a plus.
- Strong analytical skills to process, analyze, visualize, and present results.
- Knowledge of technologies for data analysis and visualization of complex data (e.g. Rest APIs, XML, JSON, KNIME, or Spotfire) as well as knowledge of public domain standard biomedical terminologies (e.g. MeSH, NCIt, HGNC) is desirable.
Responsibilities
- Leverage scientific domain and technical knowledge to support genetic scientists with identifying most relevant information, published knowledge as well as decision-making in R&D projects and deliver customer specific search & analysis solutions.
- Provide unique scientific insights and expertise by establishing, streamlining, and automating a knowledge extraction pipeline for collecting, extracting, curating, and visualizing knowledge from scientific publications including statistical context.
- Collaborate with internal data scientists, variant scientists and software developers to design and implement Biomed solutions to meet well-defined stakeholder requirements.
- Monitor continuously newest technology trends relevant for literature analysis and knowledge discovery and establish an external presence through conferences and publications as a SME in analytical text-mining and data extraction.
Other
- Bachelor’s degree with 10 + years of experience, or Master’s degree with 8 years of experience, or Ph.D. with 6 years of experience in preferred degrees include Bioinformatics/Computational Biology, or life sciences.
- Solid biomedical knowledge and ability to translate complex scientific questions from research scientists into information solutions preferred.
- Systematic problem-solving, quick learner and superior attention to detail in developing tailored solutions, high degree of reliability and integrity.
- Demonstrates an interest in working collaboratively, cross-functionally, and in inter-disciplinary teams with an ability to effectively communicate, both verbally and in writing to scientists and non-scientists.
- Well-organized and balances taking direction from others (sponsors, partners, clients) with taking initiative to manage multiple projects and learning responsibilities.
