Senior Scientist / Principal Scientist, Clinical Computational Biology
About The Position
Vividion is seeking a Senior or Principal Scientist in Clinical Computational Biology to turn clinical data into actionable insights for oncology and immunology programs. The role analyzes data from ongoing clinical trials and publicly available clinical datasets, and supports reverse-translational research that connects clinical findings to discovery and preclinical research. It also builds tools for exploring and visualizing clinical data in a controlled environment. The ideal candidate has expertise in cancer biology and/or immunology, a strong clinical and translational background, and computational skills for turning complex patient data into biological insights. The position interprets biomarker measurements in the context of patient biology, drug exposure, biological response, and safety, including in small cohorts and with imperfect data. It communicates findings, limitations, and uncertainties to clinicians, biologists, and program leadership. The position reports to the Head of Computational Biology, with a dotted-line reporting relationship to the Head of Clinical Translation. It works independently in cross-disciplinary teams within Computational Biology and Translational, partnering closely with Clinical Development and Biology. The exact level depends on experience.
Requirements
- Ph.D. in Cancer Biology, Immunology, Systems Biology, Computational Biology, or a related discipline with 3+ years of relevant industry experience; an M.S. with 8+ years of relevant industry experience will also be considered.
- Demonstrated experience interpreting human clinical or translational datasets, such as clinical trial, cohort, or patient-derived data, and linking molecular measurements to disease biology, drug mechanism, and clinical outcomes.
- Working statistical literacy, including regression, survival analysis, and multiple-testing control, and understanding of the pitfalls of small clinical cohorts and missing data.
- Proficiency in R and Python and in a UNIX/Linux environment; experience with reproducible workflows and version control.
- Hands-on experience with omics data, such as RNA-seq, proteomics, or genomics.
- Experience building interactive data applications, such as R Shiny or Dash, or comparable visualization tools for scientific users.
- Strong foundation in disease biology and clinical medicine, and a passion for patient-focused scientific discovery.
- Excellent oral and written communication skills, including the ability to explain complex analyses to clinicians, biologists, and other non-experts.
- Effective troubleshooting and problem-solving skills.
- Ability to work independently and in cross-functional teams, handle multiple tasks, and deliver high-quality results under tight timelines.
Nice To Haves
- Single-cell data experience.
- Experience in drug discovery or development, including oncology and/or immunology clinical data and biomarker-driven trials.
- Familiarity with clinical data standards and structures, such as CDISC SDTM/ADaM, and data from clinical data management systems.
- Experience with public clinical and genomic resources, such as TCGA, cBioPortal, GEO, ClinicalTrials.gov, or published trial datasets, and with reverse translation or translational biomarker work.
- Experience with pharmacokinetic/pharmacodynamic or exposure-response analysis.
- Experience handling sensitive clinical data under privacy, access-control, and compliance requirements, such as HIPAA or GCP awareness.
- Experience deploying and maintaining applications on a shared server or cloud environment, such as Azure.
Responsibilities
- Analyze biomarker and pharmacodynamic data, including proteomic, transcriptomic, and genomic data, from Vividion’s ongoing clinical trials; relate molecular changes to dose, exposure, response, and safety and translate results into biological and clinical insight.
- Mine publicly available clinical trial and patient-level datasets to benchmark programs, contextualize clinical observations, and inform target and indication strategy.
- Drive reverse-translational research by connecting clinical findings to preclinical models, discovery biology, and testable biological hypotheses.
- Build and maintain interactive tools for exploring and visualizing clinical data in a controlled-access environment, collaborating with IT and Clinical Data Management on privacy and compliance requirements.
- Partner with Translational Medicine, Clinical Development, and Biology to shape biomarker strategy, including candidate selection, assay prioritization, and data-driven hypotheses for upcoming studies.
- Communicate results to clinicians, program teams, and leadership; contribute to data packages and decision-making; and add reproducible code to a shared codebase.
Benefits
- Target bonus eligibility.
- Long-term incentives.
- 401(k) retirement savings plan with company match.
- Comprehensive benefits package including medical, dental, vision, life, and disability insurance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
