1517 Statistical Research jobs in Spring Valley, CA

Werfen

San Diego, CA 92131

ComforceHealth

San Diego, CA 92154

Experience with clinical database (SDTM/ADaM) and biomarker statistical analysis is a plus.
A strong track record of publications or contributions to impactful research.
Expertise in bioinformatics tools and software for RNA-seq, proteomics, and other omics data analysis.
Individual contributor role requiring strong background in -omic (DNA, RNA, epigenetic, proteomic) data analysis, biological interpretation and large-scale data analysis, particularly in oncology.
PhD in Bioinformatics, Computational Biology, Cancer Biology, or a related field with 3+ years of relevant industry experience.
Strong experience in statistical modeling and/or machine learning approaches, such as mixed-effects models, predictive modeling, etc. to represent biological concepts.
Proficiency in programming languages such as Python, R, and/or Perl, and experience with bioinformatics software and platforms.
Strong understanding of cancer biology, especially in the context of targeted therapies and/or radiopharmaceuticals.

Qualcomm

San Diego, CA 92154

Hands‑on experience with model development pipelines, including training, fine‑tuning, evaluation, and optimization
PhD in Computer Science, Electrical Engineering, or related fields with 4+ years of AI research, or MS with 6+ years of experience
Proven research excellence demonstrated by publications in top‑tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP)
6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods
Deep expertise in Generative AI, LLMs, Multi‑Modal Foundation models, LLM Reasoning, Reinforcement Learning, and Agentic AI

Vertex Pharmaceuticals (San Diego) LLC

San Diego, CA 92154

Demonstrated ability to work across cross-functional teams, ensuring timely progress
PhD degree (or Master's degree) in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field
Expertise with applying computational methods and bioinformatics tools to large-scale data
A proven track record in the analysis, visualization, and interpretation of genomic and next-generation sequencing (NGS) data
Solid scientific understanding of gene editing, the role of genetic variation in human disease, molecular biology, and cellular biology
In this Hybrid-Eligible role, you can choose to be designated as: Hybrid or On-Site
0–3 years (or 3+ years for Demonstrated ability to work across cross-functional teams, ensuring timely progress)
Solid understanding of statistics
Superior communication skills, demonstrating confidence and versatility in presenting verbally to diverse audiences and writing technical documents