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.

New, Posted 5 hours ago

Apply Directly

Operations Assistant

The Axel Group, LLC

Manasquan, NJ 08736

Easy Apply

Supply Chain Associate

Adecco

Monmouth Junction, NJ 08852

$24.90/hr

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Monmouth junction, NJ location mentions
Power BI highly preferred- able to work through creating in BI
Excellent organizational skills, keen eye for attention to detail and proven ability to handle multiple tasks in a fast-paced environment
Willingness to work 40 hours per week
Ability to work in a fast-paced environment with composure, as well as independently
Bachelor's degree or a master's degree (recent grads welcome)
Data skills
0-2 years of experience
Strong verbal communication, writing and interpersonal skills along with the ability to form strong cross-functional relationships
Engineering degree a +
Customer service orientation with ability to escalate issues when appropriate
3.0 GPA or higher
Strong attention to detail while juggling multiple priorities
Cross cultural awareness and high emotional intelligence
Ability to work with inventory management, planning, data accuracy checks, and projects for excel/BI based tool improvements
Strong analytical skills
Strong Excel experience - experience working with data sets, formatting changes, intermediate formulas, X-lookups, Pivot tables
Self-motivated and have a strong work ethic and sense of confidentiality
Very good organizational skills
Computer proficiency including Microsoft Office Suite of products including Microsoft Office - Excel, Word, -PowerPoint and Microsoft Outlook for email, calendar, contacts, scheduling and task management required