11 of 11 Remote Omics Jobs

It would be great if you had: Knowledge of analysing epigenetics datasets such as ATAC-seq ChIP-seq, WGBS, MeDIPs, etc Experience in analysing ‘omics datasets for biological interpretation and actionable insights. Scientific domain expertise in epigenetics, cancer genomics, liquid biopsy or biomarker discovery and relevant publications in peer-reviewed More ❯

It would be great if you had: Knowledge of analysing epigenetics datasets such as ATAC-seq ChIP-seq, WGBS, MeDIPs, etc Experience in analysing ‘omics datasets for biological interpretation and actionable insights. Scientific domain expertise in epigenetics, cancer genomics, liquid biopsy or biomarker discovery and relevant publications in peer-reviewed More ❯

It would be great if you had: Knowledge of analysing epigenetics datasets such as ATAC-seq ChIP-seq, WGBS, MeDIPs, etc Experience in analysing ‘omics datasets for biological interpretation and actionable insights. Scientific domain expertise in epigenetics, cancer genomics, liquid biopsy or biomarker discovery and relevant publications in peer-reviewed More ❯

personalized treatments for the skin. There will be ample opportunity for growth with share options available. Role You will be working on cutting edge omics studies to advance skin diagnostics and discovery of novel anti-aging treatments. Your work will translate into an impactful product in the hands of the More ❯

Salary + Share Options A stealth-mode biotech startup is seeking a Senior Data Scientist to drive innovation. You’ll work on cutting-edge omics and machine learning projects using non-invasive epigenetic data to develop predictive diagnostics and personalized treatments. Key Responsibilities: Develop ML models for epigenetic data Analyze More ❯

Salary + Share Options A stealth-mode biotech startup is seeking a Senior Data Scientist to drive innovation. You’ll work on cutting-edge omics and machine learning projects using non-invasive epigenetic data to develop predictive diagnostics and personalized treatments. Key Responsibilities: Develop ML models for epigenetic data Analyze More ❯

to physiological levels. Demonstrated expertise in developing and validating multiscale biological models, particularly for human physiology and disease processes. Proven ability to integrate multi-omics datasets (genomics, proteomics, metabolomics) into actionable biological simulations. Proficiency in modeling techniques such as ordinary differential equations, agent-based modeling, and network analysis tailored to More ❯

aims to develop 'Digital Twins' of rare disease patients by combining mechanistic, GenAI and other machine learning framework models to integrate patient-level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive public datasets of single-cell multiomics including transcriptomics from diverse disease … conditions, and simulations from mechanistic models. This will be applied to the challenge of limited multi-omics data for rare disease, with the aim of developing rare disease Digital Twins to provide new insights into disease mechanisms and potential treatments. The role involves designing and implementing ML models that integrate … multi-omics data and clinically relevant endpoints, contributing to the creation of virtual patient models to simulate disease trajectories and therapeutic responses. This is a unique opportunity to develop and apply advanced ML methodologies and significantly contribute to understanding rare disease biology, enabling applications such as diagnosis, drug repurposing, and More ❯

and/or in-depth work. Strong understanding of programming languages used in bioinformatics (e.g., R, Python) Strong understanding of high throughput screens and -omics analysis Preferred Qualifications Knowledge of one or more of the following areas: aging biology, healthspan metrics, biomarkers, and application of AI in electronic health records. … Experience with longitudinal cohort studies or clinical trial data analysis Experience with biomarker discovery using omics Excellent organizational skill and ability to multi-task Analytical thinker and problem solver. In addition to technical competency, candidates should have strong technical writing skills, ability to communicate complex scientific ideas to broad audiences More ❯

firms, life science companies, or healthcare data providers preferred. Knowledge of healthcare data and experience of its practical applications (e.g., patient-level EMR, claims, omics, data and experience with RWD/RWE projects or omics data) would be a plus. Additional Skills: Ability to translate unstructured problems into actionable processes More ❯

firms, life science companies, or healthcare data providers preferred. Knowledge of healthcare data and experience of its practical applications (e.g. patient-level EHR, claims, omics, data and experience with RWD/RWE projects or omics data) preferred. Empathy, adaptability, and high personal impact, with ability to develop and maintain senior More ❯