Role summary
join a team focused on advancing cancer treatment through precision medicines. The scientist, precision medicine will support biomarker studies across phase 1–3 oncology trials to generate high-quality biomarker data that informs clinical development for multiple programs. The precision medicine team designs and executes the diagnostic and biomarker strategy for oncology drug development within a highly matrixed organization, collaborating with clinical development, clinical operations, and data sciences to meet biomarker needs in a timely manner. The ideal candidate will be organized, proactive, and have a values-driven work style with integrity and grit.
responsibilities
* serve as a member of the precision medicine team to support biomarker research across multiple phase 1 to phase 3 clinical trials for oncology drug development.
* provide day-to-day troubleshooting for biomarker sample collection, processing, and testing by working directly with cross-functional teams to ensure timely and accurate delivery of biomarker data.
* build and manage internal trackers and dashboards that link sample metrics, clinical trial data, and biomarker test results that ensures data accuracy, consistency, and timely updates for use by the precision medicine team.
* collaborate with internal stakeholders from clinical development, clinical operations, and data management to ensure precision medicine study plans are integrated into new clinical protocols, study databases, and data/sample review plans
* partner with internal stakeholders to execute biomarker data transfer agreements with external vendors, following up on data delivery status, and escalating issues to senior precision medicine stakeholders when challenges are not resolved in a timely manner.
* contribute to the analysis of genetic and protein biomarker data from clinical trial samples to support precision medicine studies
qualifications
* phd in molecular biology, cancer biology, genetics, genomics, bioinformatics, immunology, or related life sciences field.
* 0–3 years of relevant experience; industry experience not required.
* detail oriented, proactive, and interested in building expertise in clinical biomarkers and precision medicine.
* demonstrates sound judgment to recognize when issues can be resolved through continued collaboration and when unresolved risks or delays should be escalated to more senior members of the precision medicine team.
* hands-on research experience involving genomic, transcriptomic, or proteomic data analysis.
* proficiency in microsoft excel (advanced formulas, pivot tables, data reconciliation).
* experience creating data summaries, dashboards, or visualizations (e.g., excel, power bi, tableau, or r).
* experience working with large datasets using tools such as r, python, or similar analytical software a plus.
* experience managing complex datasets during graduate or postdoctoral research.
education
* phd in molecular biology, cancer biology, genetics, genomics, bioinformatics, immunology, or related life sciences field.
skills
* data visualization and dashboard development (excel, power bi, tableau, or r)
* experience with r, python, or similar analytical software
* ability to manage and analyze large multi-omics datasets
* strong collaboration and communication skills
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