Novartis Farmacéutica
Senior Data Science Engineer
Novartis Farmacéutica, Cambridge, Massachusetts, us, 02140
Location: Hybrid. Cambridge, MA.
About the role:Oncology Data Science (OncDS) Biomedical Research is at the forefront of oncology research - and includes the Next-Gen Diagnostics (NGDx) team - which focuses on bioinformatics pipelines for established and experimental assays such as RNA-seq, ctDNA, single-cell / CITE-seq, spatial transcriptomics, imaging data and flow cytometry. The role of Senior Data Science / Engineer is directly involved in the development and maintenance of the LIMS, pipeline, and assays - with the goal of producing high-quality, analyzable datasets - both reported to the clinical trial teams and used for additional research (bed-to-bench / back-translation) activities to answer our key scientific questions. Oncology Data Science offers opportunities to grow in-terms of working with real-world data as well as large research datasets - both public and private.Key Responsibilities:
Design, development, maintenance, and support of the NGDx LIMS, pipeline framework, pipelines and assays, including Quality Control (QC) - current codebase is a combination of Java, Python, and R.Work with various partners from lab associates to clinical trial data management in the development of assays to support our trials and additional research.Implement robust tooling for the development of new assays and the integration of new data types from CROs and collaborations.Maintain consistent support for data generation and ingestion / QC activities.Enable analysts to concentrate on subject matter expertise and analytics crucial for new assay development, as well as facilitate effective communication with clinical teams for data interpretation support.Become a subject matter expert in our various Novartis data science platforms / tooling in order to support other OncDS analysts.Coordinate, as needed, with Novartis IT as a bridge with Oncology leveraging your engineering expertise.Minimum Requirements:
Master’s in bioinformatics, computer science or a related field, with a minimum of 5 years’ experience (or 10 years without Masters).Experience in developing, implementing and delivering data products, data strategies, data governance frameworks, and data quality standards, relevant to clinical applications.Experience in working with diverse and large-scale clinical data sources, such as clinical trials, real-world data, genomics, imaging, and digital health.Demonstrated ability in establishing effective collaborative relationships with cross functional technical teams.Strong communication skills and ability to represent the group to Novartis IT and Biomedical Research.Demonstrated organizational skills, aligning available resources to meet key goals.Bioinformatics / Genomics knowledge.Data pipeline development and testing.Biomedical Ontologies / CDISC knowledge.High-Performance Cluster (HPC) experience.Python and R (Programming Language) at senior-level.Unix shell scripting at senior-level.Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
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About the role:Oncology Data Science (OncDS) Biomedical Research is at the forefront of oncology research - and includes the Next-Gen Diagnostics (NGDx) team - which focuses on bioinformatics pipelines for established and experimental assays such as RNA-seq, ctDNA, single-cell / CITE-seq, spatial transcriptomics, imaging data and flow cytometry. The role of Senior Data Science / Engineer is directly involved in the development and maintenance of the LIMS, pipeline, and assays - with the goal of producing high-quality, analyzable datasets - both reported to the clinical trial teams and used for additional research (bed-to-bench / back-translation) activities to answer our key scientific questions. Oncology Data Science offers opportunities to grow in-terms of working with real-world data as well as large research datasets - both public and private.Key Responsibilities:
Design, development, maintenance, and support of the NGDx LIMS, pipeline framework, pipelines and assays, including Quality Control (QC) - current codebase is a combination of Java, Python, and R.Work with various partners from lab associates to clinical trial data management in the development of assays to support our trials and additional research.Implement robust tooling for the development of new assays and the integration of new data types from CROs and collaborations.Maintain consistent support for data generation and ingestion / QC activities.Enable analysts to concentrate on subject matter expertise and analytics crucial for new assay development, as well as facilitate effective communication with clinical teams for data interpretation support.Become a subject matter expert in our various Novartis data science platforms / tooling in order to support other OncDS analysts.Coordinate, as needed, with Novartis IT as a bridge with Oncology leveraging your engineering expertise.Minimum Requirements:
Master’s in bioinformatics, computer science or a related field, with a minimum of 5 years’ experience (or 10 years without Masters).Experience in developing, implementing and delivering data products, data strategies, data governance frameworks, and data quality standards, relevant to clinical applications.Experience in working with diverse and large-scale clinical data sources, such as clinical trials, real-world data, genomics, imaging, and digital health.Demonstrated ability in establishing effective collaborative relationships with cross functional technical teams.Strong communication skills and ability to represent the group to Novartis IT and Biomedical Research.Demonstrated organizational skills, aligning available resources to meet key goals.Bioinformatics / Genomics knowledge.Data pipeline development and testing.Biomedical Ontologies / CDISC knowledge.High-Performance Cluster (HPC) experience.Python and R (Programming Language) at senior-level.Unix shell scripting at senior-level.Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
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