Lead AI-driven clinical insight and molecular signature development at Caris, overseeing multidisciplinary teams and translating discoveries into scalable clinical reporting.
Locations (2)
Tempe, Arizona, United States
Phoenix, Arizona, United States
Responsibilities
Define and execute strategy for AI-driven clinical insight and molecular signature development
Identify clinically relevant questions for advanced analytics
Oversee development of AI signatures integrating genomic, transcriptomic, proteomic, and clinical outcomes data
Establish governance and standards for model development, validation, documentation, and lifecycle management
Collaborate with Regulatory and Clinical Development teams
Requirements
PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field
Nice to have: CAP/CLIA experience
Nice to have: cloud computing platforms
Postdoctoral Research Fellow
University of British Columbia · Posted Nov 6, 2026
Support the development and validation of novel non-invasive biomarkers for endometrial cancer risk assessment and early detection within a multidisciplinary research team.
Compensation
Starting salary will be commensurate with experience, in the range of $70,000 - $80,000 per year plus benefits.
Responsibilities
Coordinate and advance multi-omics biomarker development projects across multiple collaborating laboratories.
Support assay development and validation activities involving microbiome profiling, methylation analysis, mutation detection, deep/targeted sequencing-based approaches, and proteomic technologies.
Contribute to study design, data interpretation, quality control, and experimental troubleshooting.
Assist with the development and optimization of laboratory and analytical workflows.
Integrate findings across multiple biological platforms to support biomarker discovery, validation, and translation to clinical application.
Requirements
PhD in molecular biology, translational research, genomics, bioinformatics, proteomics, cancer biology, reproductive biology, or a related field
Lead a multiomics biomarker team at Merck’s Singapore Quantitative Biosciences site, integrating advanced analytical platforms to drive drug discovery and development.
Responsibilities
Build and lead a multiomics biomarker team
Integrate immunoassays, mass spectrometry, genomics, flow cytometry, single-cell technologies, and AI analytics
Shape site strategy and priorities
Develop group objectives, business plans, and budgets
Provide scientific leadership and operational oversight for a world-leading translational research laboratory focused on ex vivo perfusion of human organs, investigating organ repair, regeneration, and metabolic adaptation.
Compensation
Base Salary $131,108 p.a. (pro-rata for part-time appointments) + 17% superannuation
Responsibilities
provide scientific leadership and domain expertise in metabolism, physiology, repair, or regeneration biology
lead hands-on experimental design, execution, optimisation, and troubleshooting
analyse and interpret biological samples using molecular and cellular techniques including western blotting and microscopy
process, analyse and integrate complex multiomic datasets including metabolomics, lipidomics and transcriptomics
contribute to the development of the laboratory's scientific strategy, hypotheses, and research priorities
The Scientific AI Platform Expert will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery.
Compensation
Salary Range:
CHF78,400.00 - CHF145,600.00
Expected Annual Base Salary Range for role: CHF 78,400 - CHF 145,600
Responsibilities
Translate scientific and operational AI needs into impactful, decision-enabling solutions.
Hands‑on design, build, and sustain scalable AI‑focused omics pipelines, APIs, and integrated data products.
Scale AI workflows using reproducible, transparent, secure, and FAIR data practices.
Prioritize resources against evolving research needs.
Provide input to the team on project evaluation, deployment, lifecycle, and governance practices.
Requirements
BS or MS in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline
Qualify sequencing labs, biobanks, diagnostics providers, life sciences companies, and research consortia with genomics, transcriptomics, proteomics, or multi-omics data; assess dataset differentiation; coordinate NDAs, sample access, and DataLab evaluation; work with Commercial on pricing, licensing structures, and statements of work; build trusted partner relationships and recommend partnerships that address customer needs and gaps in the omics portfolio.
Responsibilities
Qualify sequencing labs, biobanks, diagnostics providers, life sciences companies, and research consortia with genomics, transcriptomics, proteomics, or multi-omics data
Assess dataset differentiation through cohort composition, assay or sequencing methods, raw and processed data availability, quality documentation, and linked clinical or phenotype information
Coordinate NDAs, sample access, and DataLab evaluation; clarify provenance, permitted uses, and consent or licensing restrictions with the appropriate internal reviewers
Work with Commercial on pricing, licensing structures, and statements of work, and coordinate activation with Healthcare Operations and Solutions
Build trusted partner relationships, surface underused molecular data assets, and recommend partnerships that address customer needs and gaps in the omics portfolio
Full-time non-tenure track Research Assistant Professor position in the Division of Neonatology to expand clinical research program in neonatal genomics/multiomics and genetics of rare diseases in children.
Responsibilities
Developing and participating in original research, either basic or translational, for which extramural funding should be sought
Designing and conducting experiments
Collecting and interpreting data for presentation to and review with the PI
Assisting in project planning and timing management
Perform key research projects under the supervision and guidance of the PI and lab members
The Assistant Scientist, SOM (A) carries out a particular research agenda in support of the University’s research goals and objectives, contributing to scientific publications and grant writing.
Compensation
The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
Responsibilities
Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations.
Collaborates with senior staff to publish findings in refereed journals.
Creates and conducts experiments and analyzes results.
Works with other researchers to use and develop end products.
Expert in cell biology and molecular biology techniques and animal mouse models.
Requirements
MD or Ph.D. in relevant field
Ph.D. in Biotechnology, Biological Science, or related field
Seeking a Computational Biologist to develop early, noninvasive tests for cancer detection using scientific expertise in bioinformatics, statistics, and molecular biology.
Compensation
The US target range of our base salary for new hires is $131,325 - $189,525. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.
Responsibilities
Plan and execute development experiments for Freenome’s multiomics cancer screening tests.
Partner cross-functionally with computational, development, regulatory, and quality leaders to develop and execute a regulated development strategy working toward FDA approval.
Use quantitative skills to develop computational methods and interpret complex experimental results in order to optimize and validate innovative technology for sample collection, preparation, and detection.
Develop and execute appropriate experimental design and analysis plans for Development, Verification, and Validation studies.
Work closely with molecular and computational research teams developing Freenome’s IVD products for blood-based molecular assays including cell-free DNA, proteins, and additional biomarkers.
Director, Multiomic Sciences, Quantitative BiosciencesMerck · Singapore, Singapore
Strategic Partnerships Manager, Omics and GenomicsProtege · Remote
Pediatrics- Research Asst. ProfessorUOMUOMUS · Miami, US
Computational BiologistFreenome · Remote, US