Boehringer Ingelheim is looking to solve the problem of delivering successful data science projects to support the discovery, development, and delivery of its products to patients and customers.
Requirements
- Experienced in structuring data sets from unstructured data or big data (MapReduce approaches, HDFS, Hadoop architectures, Pig, Spark).
- Expertise in data engineering and contextualization of batch and attribute data by managing pharmaceutical object-oriented programmatic methodologies; specifically, PostgreSQL, Kubernetes, WebAPI, SQL, C-Sharp, GO, React, .Net, Java, GraphDB/GraphQL, InfluxDB, MongoDB, OSI PI, R, Python, SAS JMP, Spotfire/Tableau, SASEntreprise, Inmation/VisualKPI, SIMCA, SIMCA-online, and Grafana.
- Demonstrated expertise in the time-series batch execution systems, ISA-88 batch execution sequencing and contextualization, creating and executing advanced pharmaceutical batch modeling algorithms, interpreting results, distilling solutions and reports for a business stakeholders that facilitate process awareness and improvements in predictability of critical parameters and quality attributes.
- Strong expertise in relevant methods and skills such as machine learning, advanced statistics, algebra, data visualization, artificial intelligence, natural language processing, classification methods, feature extraction, dimensionality reduction, data handling algorithms, regression methods, time-series analysis, predictive modeling, causal inference methods, Bayesian networks, Markov random fields, text analysis, etc.
- Demonstrated understanding and ability to apply principles, concepts, practices, and standards including knowledge and use of Animal Health or Pharma data and working knowledge of industry practices.
- Well-developed understanding of data hygiene as well as data enrichment.
- Experienced in handling data bases including ability to run queries.
Responsibilities
- Uses data scientific techniques to uncover processes & correlations to expand & improve the body of knowledge for BIAH products & technology.
- Delivers optimized solutions for data mining, aligning data processing, predictive analysis and transform data into knowledgeable and understandable information.
- Partners with business units to develop dashboards and applications utilizing data for smart decision making.
- Promotes collaboration & knowledge exchange with other data science teams within and outside the organization.
- Identifies and resolves causes of poor data quality management, implements solutions & communicates findings.
- Actively supports all aspects of the BI data governance standards and programs.
- Explores data analytics innovation to support future definition of manufacturing platforms & processes.
Other
- Master's in data science discipline or related degree with a minimum of eight (8) years industrial experience in Data Science, Predictive Analytics, or Cognitive Analytics.
- OR Bachelor's degree in data science discipline or related degree with a minimum of ten (10) years of industrial experience in various data science disciplines (Data Science, Computer Science/Business Intelligence, Predictive Analytics, Cognitive Analytics).
- Must be legally authorized to work in the United States without restriction.
- Must be willing to take a drug test and post-offer physical (if required).
- Must be 18 years of age or older.
