Senior Translational Data Scientist

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 assets
  • Technically 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

Requirements

Essential:

• Experience building, customizing, and/or using clinical biomarker software solutions
• Strong computational skillset, including proficiency in at least one coding language (ideally R), and ability to perform the following tasks:
  • data ingestion, wrangling, integration, and analysis
  • design (both strategically and technically) bioinformatics pipelines
  • development of clear and effective data visualizations
  • understanding of Shiny apps (or other UI strategies)
• Strong software engineering skills including familiarity with AWS, Posit, and Gitlab
• Strong bioinformatics skills including experience analyzing sequencing data
• Familiarity with the oncology field and oncology-focused biomarker datasets
• Takes initiative, ask questions, and independently moves projects along in a fast-paced environment
• Team player, conscientious, organized, and creative

Desirable:

• Experience working with EDC and/or biomarker data from clinical trials
• Experience in LSAF