Demonstrated experience in two or more of the following areas: systems engineering, software and system analysis, requirements development, verification and validation, trade studies, modeling and simulation, or integration and test.
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Experience working with customers to drive complex technical issues/challenges to closure.
Bachelor's degree or higher in Electrical Engineering, Systems Engineering, Computer Science/Engineering, Physics or related STEM degree with minimum 5 years' related experience.
U.S. Citizenship required.
High proficiency in C++ or equivalent object-oriented computing language, Matlab, and, scripting languages.
Ability to obtain and maintain a U.S. DoD security clearance at the SECRET level.

SmartExplore AI is experimental.

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Information Technology Professional (IT Support)

US Navy

Morrisville, PA 19067

Education AssistanceHealth InsuranceRetirement Benefit

New, Posted 1 day ago

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General Engineer

Exelon

Hatboro, PA 19040

$92,000/yr

Education AssistanceHealth InsurancePaid Time OffRetirement Benefit

Overnight Crew Team Member

McDonald's

Feasterville Trevose, PA 19053

Education Assistance

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Associate Director, TQS Analytics Engineering

Genmab

Plainsboro, NJ 08536

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Familiarity with common translational and clinical data types, such as flow cytometry, cytokine and biomarker assay outputs, genomics/transcriptomics (RNA-seq, DNA-seq), proteomics, and other multi-omics datasets
Experience working in Agile/Scrum environments
Familiarity with DBT for data transformations within the Databricks ecosystem is a plus
Strong experience with Databricks, including Spark (PySpark, SQL), Delta Lake, and Unity Catalog
Proficiency in Python, R, and SQL
Knowledge of GxP validation practices and e-system management and deployment experience in biotech/pharma R&D environments
BS/MS/PhD in Computer Science, Bioinformatics, or a related field with 8+ years of analytic engineering experience
Scientific knowledge in oncology is a plus
Experience implementing CI/CD pipelines (GitLab or similar), data testing frameworks, and infrastructure-as-code tooling (e.g., Terraform)
Hands-on expertise with AWS services such as S3, Glue, Lambda, Step Functions, Data-sync, EMR, Redshift, and core IAM/networking concepts relevant to secure and compliant analytic engineering
Solid understanding of data governance, security, and compliance requirements in enterprise and research environments, including privacy considerations for clinical and biomarker data
Proven experience building scalable, production-grade data pipelines and cloud-based architectures that support translational and clinical research workflows
Ability to support translational and clinical analysis through basic statistical methods and the development of dashboards or interactive tools (R Shiny, Streamlit, etc.) as well as business intelligence platforms such as Spotfire, Tableau, or Power BI

SmartExplore AI is experimental.

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