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Scientist - Computational Biology

South San Francisco, CA
Top 3 Must Have Skill Sets:

This role requires the ability to write moderately complex scripts in Python or R. Some bioinformatics experience is a must and excellent communication skills will be required.
Experience with clinical trial datasets & diagnostics is a must have

Day to Day Responsibilities:

Serve as the POC within Clinical Biomarkers and Diagnostics (CBD) for all incoming data
Serve as the POC within CBD for external partners, partners in study management and biomarker development
Work with external partners on day-to-day operational aspects
Define acceptance standards for data generated using a number of diagnostic technologies such as flow cytometry, nanostring, NGS diagnostic assays, imaging technologies, and other diagnostics
Perform residual data QC as needed
Document acceptance standards, socialize them and educate stakeholders
Author code/scripts to perform automatic quality control, formatting and transformation of data to adhere to defined standards
Document values, dynamic ranges, controlled vocabulary and obtain organization-wide approval for this intellectual property
Ensure that QCed data for active programs is delivered in an analyzable format in a timely manner
Ensure that data is stored in a manner that adheres to internal standards for storage
Make recommendations for process improvements

Summary

This position is located within the Clinical Biomarkers and Diagnostics function in Computational Biology. This role will operate within a multi-disciplinary setting, working closely with assay validation, biomarker scientists, computational biology, data scientists to establish standards, infrastructure and process for the ingestion and QC of biomarker data. Experience with clinical trial datasets & diagnostics is a must have. Candidate must be familiar with verbiage and meanings of data entities in the context of clinical trials. Familiarity with diagnostics and common analytes utilized within clinical trials is required. A strong handle on clinical metadata and expected values as well as analytes and their dynamic ranges & units is needed for this role. This role requires the ability to write moderately complex scripts in Python or R. Some bioinformatics experience is a must and excellent communication skills will be required.

Core Responsibilities

Development of data ETL, QC, data store architecture, schema definitions, ingestion, transformation and QC logic.

"This posting is for Contingent Worker, not an FTE"
 

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