Essential functions and responsibilities
* lead end-to-end execution of the clinical biomarker strategy to support janux’s oncology and autoimmune clinical programs
* organize and maintain clinical biomarker and bioanalytical datasets and individual patient profiles for clinical programs.
* perform high throughput data analytics of, translational, and clinical datasets to identify and validate potential biomarkers of response/resistance to tractr, tracir, and/or arm treatments.
* integrate functional biological readouts with patient’s clinicopathological features to contribute to patient selection strategies for clinical programs.
* collaborate with biomarker and clinical operation teams to ensure end-to-end sample tracking and maintain oversight on all sample related timelines including subsequent data collection and distribution.
* manage multiple specialty vendor labs and maintain strong oversight on deliverables (proposals, timelines, experimental design, data analyses and reporting).
* prepare and present data. Collaborate with internal clinical science and research/ immunology teams to evaluate data analytic approaches and ensure meaningful insights in the delivery. Perform in-depth scientific literature review to help address critical questions relating to target biology, clinical relevance, and associated assays.
* work cross-functionally with research, clinical and cmc teams to drive scientific programs and deliver critical insights to help inform decision-making across the portfolio.
education, experience, knowledge, skills and abilities
* ph.d. in immunology, clinical/health sciences, bioinformatics, or related scientific discipline with 4+ yearsof experience, preferably in an industry setting, with an emphasis in clinical biomarker analysis or translational medicine.
* strong understanding and experience working in immuno-oncology and/or solid tumor oncology with hands-on experience in designing, developing, and interpreting clinical biomarker datasets.
* competence with data analysis tools (excel, graphpad). Proficiency in data handling and visualization with r or python is preferred.
* demonstrated ability to create impactful data visualization outputs and present meaningful insights.
* experience working with edc systems and data listings is highly preferred.
* experience with good clinical practice (gcp) principles and studies transitioning into clinical trials.
* experience working with external cros (due diligence, proposals, oversight, project management, data analyses, and reporting) is highly preferred.
* strong analytical and critical thinking skills with the ability to work in a fast-paced environment. Excellent written and oral communication skills.
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