TELECOMMUTE Data Analyst (SAS/R/ Clinical Data)

Infonex Technologies Inc.

Pasadena, CA, United States

about 1 month ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Cloud Computing Computer Programming Data Validation Data Cleansing Data Transformation Data Mining Data Systems Relational Databases R (Programming Language) Python (Programming Language) SAS (Software) SQL Databases

+3 more

Data Processing Data Management Databricks

Job description

Data Management and Programming
Develop, maintain, and manage research datasets using SAS, SAS Viya, Python, R, SQL, and Databricks.
Perform data extraction, cleaning, transformation, and integration from multiple sources.
Conduct data quality assessments and validation checks to ensure accuracy and completeness.
Create reusable programming code and analytic workflows that support research studies.
Maintain version-controlled and well-documented programming code.

Research and Analytic Support

Collaborate with investigators, epidemiologists, biostatisticians, and project teams to support study design and data requirements.
Support development of research datasets and analytic files used in observational and epidemiologic studies.
Assist with data reporting, study tracking, and project monitoring activities.
Contribute to interpretation of analytic findings and preparation of study deliverables.

Documentation and Communication

Produce clear documentation of programming processes, data sources, specifications, assumptions, results, meeting discussions, and action items.
Develop presentations, training materials, and technical documentation for project teams. Present data management and programming activities to study teams and stakeholders.

Technical Support and Problem Resolution

Investigate and resolve data-related issues through root-cause analysis. Support production and research computing environments, including scheduled and ad hoc processing jobs. ]
Work with project teams to identify and implement efficient data solutions.

Requirements

Data wrangling, integration, and data management.
Programming and development of analytic datasets.
Documentation, communication, and quality assurance activities, Proficiency in SAS. Working knowledge of R and/or Python. Experience with SQL and relational database concepts. Experience with Databricks or other cloud-based analytic platforms. Strong data cleaning, data transformation, and data validation skills.