Senior Translational Data Scientist

Company:  Bicycle Therapeutics
Location: Cambridge
Closing Date: 18/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description

We are looking to recruit a Senior data scientist with a strong software engineering and data analytics skillset as well as an oncology background to join our Translational Sciences team. This person would be responsible for leading the development, customization, and maintenance of a biomarker software solution to support our clinical-stage oncology portfolio assets. Key responsibilities would include leading data ingestion, integration, and data visualization efforts for our targeted toxin and immune-oncology clinical programs. Additional responsibilities include managing external scientists/programmers and leading the development of an integrated non-clinical/clinical biomarker database to support both forward and reverse translation.

Lead the development, customization, and maintenance of a biomarker software solution to support clinical-stage oncology assetsTechnically contribute to and strategically manage external programmers to develop data ingestion, processing, and wrangling pipelines

Lead the migration of internal R-scripts and Shiny apps onto the software solution

Support the integration, analysis, and visualization of biomarker and clinical data within and across targeted toxins and immune-oncology clinical trial programs

Provide platform training and support to Bicycle scientists

Support data management and integration of translationally focused preclinical and clinical datasets (e.g. Nanostring, NGS)

Support reverse translation analytics activities by integrating relevant internal and external datasets as well as developing clear analyses and visualizations

Work in a cross-functional environment and communicate effectively across project teams that consist of data scientists, translational scientists, IT managers/analysts, pharmacologists, clinical scientists…etc.

Effectively document data transfer specs, R scripts, and data analysis processes

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