Radionetics Oncology · 1 day ago
Principal Scientist or Assoc Director, Bioinformatics / Machine Learning
San Diego, CA
Full-time
Onsite
Lead/Staff, Director/Executive
$175K/yr - $215K/yrRadionetics Oncology, Inc. is a clinical stage radiopharmaceutical company focused on the discovery and development of novel radiopharmaceuticals for oncology indications. They are seeking a highly experienced Principal Scientist/Associate Director to lead the application of machine learning and AI to large-scale proteomics data in support of target validation and patient selection strategies.
Health CareMedicalOncologyPharmaceuticalTherapeutics
Responsibilities
Create and manage the central sample database integrated with the internal proteomics database, including the definition and implementation of data standards, schemas, and governance practices
Integrate internal proteomics and sample databases with public resources ensuring harmonization between internal and public datasets
Apply supervised, unsupervised, and semi-supervised learning approaches for high-dimensional proteomics data
Design and implement machine learning models using quantitative LC-MS/MS proteomics data to: (1) identify biologically meaningful patient subgroups; (2) derive protein signatures predictive of target expression, uptake, and response; and (3) support target validation, prioritization, and indication selection
Collaborate with translational and clinical teams to align analytical outputs with clinical study objectives
Develop proteomics-based patient selection signatures to: (1) identify responder-enriched patient populations; (2) inform inclusion/exclusion criteria for clinical trials; and (3) support potential companion diagnostic strategies
Develop models evaluating tumor selectivity versus normal and critical organs, and expression stability across disease stages and metastatic sites
Maintain a work environment focused on scientific integrity and quality
Perform other duties as required by business needs
Qualification
Required
Ph.D. in Computer Science / Machine Learning or similar field with relevant experience (industry experience preferred)
Hands‑on experience with biological data infrastructure, including sample and omics data management
Proven use of public biological databases
Deep understanding and expertise of Machine Learning Principles and how they apply to different models
Proficiency in R and/or Python's deep learning libraries
Familiarity with multimodal data integration, including early and/or late fusion strategies
ML applied to Omics data (e.g., Proteomics, RNA-seq, DNA methylation), biological imaging modalities (e.g. microscopy, H&E, IF), and/or spatial biology
Preferred
Experience with multi-GPU and distributed training at scale
Experience analyzing large‑scale proteomics (LC‑MS/MS) datasets
Experience in oncology drug discovery or translational research
Familiarity with membrane proteins, GPCRs, or surface‑targeted therapeutics
Experience supporting target validation, biomarker development, or clinical study design
Benefits
Bonus opportunity
Equity
Medical, dental, vision, life, short-term, and long-term disability insurance
401(k) retirement plan with employer match
4 weeks of paid time off (PTO) annually
Generous paid holidays
Company
Radionetics Oncology
Radionetics Oncology is a pharmaceutical company that focuses on the discovery and development of novel radiotherapeutics.
Founded in 2021
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$82.5MKey Investors
5AM Ventures,DCVC Bio,Frazier Life Sciences5AM Ventures,Frazier Healthcare Partners
2023-08-14Series A· $52.5M
2021-10-18Seed· $30M
Leadership Team
Ana Karin Kusnetzow
Chief Scientific Officer
Istvan Molnar
Chief Medical Officer
Recent News
AstuteAnalytica India Pvt. Ltd.
2025-10-23
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