An experienced computational scientist to lead bioinformatics strategy and analysis for minimally invasive and multimodal biomarkers, focusing on ctDNA and oncology applications.
Compensation
The annual base pay for this position ranges from $181,570.40 - $272,355.60 USD Annual.
Responsibilities
Lead bioinformatics strategy and hands-on analysis for genomic and ctDNA biomarker studies across discovery, translational research, and clinical development.
Develop, evaluate, and apply reproducible workflows for sequencing quality control, variant detection, copy-number and other genomic analyses, ctDNA quantification, molecular response, and longitudinal disease monitoring.
Design rigorous benchmarking studies to compare assays, computational pipelines, calling thresholds, and analytical approaches.
Build statistical, predictive, and mechanistic models that integrate genomic, ctDNA, clinical, and other biomarker data.
Define fit-for-purpose analysis plans, performance metrics, validation criteria, and standards for reproducibility.
Lead bioinformatics strategy and analysis for genomic and ctDNA biomarker studies across discovery, translational research, and clinical development.
Compensation
The annual base pay for this position ranges from $181,570.40 - $272,355.60 USD Annual.
Responsibilities
Lead bioinformatics strategy and hands-on analysis for genomic and ctDNA biomarker studies across discovery, translational research, and clinical development.
Develop, evaluate, and apply reproducible workflows for sequencing quality control, variant detection, copy-number and other genomic analyses, ctDNA quantification, molecular response, and longitudinal disease monitoring.
Design rigorous benchmarking studies to compare assays, computational pipelines, calling thresholds, and analytical approaches using reference materials, orthogonal methods, tissue–plasma comparisons, and clinical datasets.
Build statistical, predictive, and mechanistic models that integrate genomic, ctDNA, clinical, and other biomarker data to generate actionable biological insights and support development decisions.
Define fit-for-purpose analysis plans, performance metrics, validation criteria, and standards for reproducibility, traceability, statistical rigor, and scientific interpretation.
Requirements
PhD in Bioinformatics, Computational Biology, Genomics, Statistics, Computer Science, Biomedical Engineering, or a related quantitative field
Senior Director, AI for Clinical Intelligence & Evidence Breast & Gynaecology
The annual base pay for this position ranges from $ 203.213,60 - 304.820,40 Annual USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program.
Responsibilities
Define and evolve the Clinical Intelligence & Evidence strategy for Breast & Gynaecology
Provide scientific leadership in epidemiology and Real-World Evidence
Work closely with drug development teams to translate clinical questions into research objectives
Apply Real-World Evidence to support clinical development questions
Shape the appropriate use of machine learning and AI within Real-World Evidence
Requirements
Advanced degree (PhD, MPH, MD, or MSc) in Statistics, Epidemiology, Public Health, Data Science, Mathematics, or related field
Nice to have: Experience within Oncology, particularly Breast and/or Gynaecological cancers
Nice to have: Hands-on experience in data science, machine learning and predictive modelling
Nice to have: Familiarity with advanced approaches such as Bayesian inference, temporal modelling, multimodal modelling, foundation models, and model interpretability and evaluation
Nice to have: Experience with clinical text, electronic health records, imaging or molecular data, including genomics in clinical care or translational medicine
Lead bioinformatics strategy and analysis for genomic and ctDNA biomarker studies across discovery, translational research, and clinical development.
Compensation
The annual base pay for this position ranges from $181,570.40 -$272,355.60 USD Annual. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles).
Responsibilities
Lead bioinformatics strategy and hands‑on analysis for genomic and ctDNA biomarker studies across discovery, translational research, and clinical development.
Develop, evaluate, and apply reproducible workflows for sequencing quality control, variant detection, copy‑number and other genomic analyses, ctDNA quantification, molecular response, and longitudinal disease monitoring.
Design rigorous benchmarking studies to compare assays, computational pipelines, calling thresholds, and analytical approaches using reference materials, orthogonal methods, tissue–plasma comparisons, and clinical datasets.
Build statistical, predictive, and mechanistic models that integrate genomic, ctDNA, clinical, and other biomarker data to generate actionable biological insights and support development decisions.
Define fit‑for‑purpose analysis plans, performance metrics, validation criteria, and standards for reproducibility, traceability, statistical rigor, and scientific interpretation.
Join QIAGEN as a Field Applications Specialist and help customers get the best results from our molecular biology solutions by providing technical support, training, and troubleshooting focused on NGS.
Responsibilities
Delivering technical and application support to customers across the region by phone, email, remote channels, and on-site visits.
Conducting instrument installations and providing engaging product and application training, both on-site and remotely.
Troubleshooting instrument performance and technical issues in collaboration with engineering and service teams.
Resolving application, assay, and kit performance issues and partnering with global support teams on complex cases.
Advising commercial and tender teams on product selection, applications, and technical requirements.
Lead and execute research projects focused on developing non-invasive biomarkers for diagnosing and predicting outcomes in cardiothoracic transplantation
Compensation
Salary is $79,872.00 per annum plus benefits.
Responsibilities
Lead and execute research projects focused on developing non-invasive biomarkers for diagnosing and predicting outcomes in cardiothoracic transplantation
Conduct multi-omics research (metabolomics, proteomics, genomics) to identify metabolic signatures and pathways associated with transplant rejection and post-transplant outcomes
Investigate the pathogenesis and biomarkers of long COVID, contributing to therapeutic strategies that address SARS-CoV-2 persistence, immune dysregulation, chronic inflammation, vascular injury, hypercoagulability, and multi-organ involvement
Collaborate with clinicians, bioinformaticians, and public health researchers to apply precision medicine approaches, including the development of real-time diagnostic tools for clinical use
Coordinate and develop grant applications to secure research funding
Seeking a highly motivated Research Scientist with a background in cardiothoracic transplantation, biomarker discovery, and multi-omics research to lead projects on improving diagnostic accuracy and predicting transplant outcomes.
Compensation
Salary is $79,872.00 per annum plus benefits.
Responsibilities
Lead and execute research projects focused on developing non-invasive biomarkers for diagnosing and predicting outcomes in cardiothoracic transplantation
Conduct multi-omics research (metabolomics, proteomics, genomics) to identify metabolic signatures and pathways
Investigate the pathogenesis and biomarkers of long COVID
Collaborate with clinicians, bioinformaticians, and public health researchers to apply precision medicine approaches
Coordinate and develop grant applications to secure research funding
Requirements
MD
MSc
Nice to have: academic recognition
Nice to have: awards
Nice to have: oral presentations at international conferences
Conduct laboratory experiments, handle biological samples and animal models, collect and analyze data, and support research on craniofacial development and congenital disease.
Responsibilities
Perform laboratory experiments and activities to support research objectives
Collect, organize and prepare research data for investigators
Director, Genomics & ctDNA BioinformaticsNewAstraZeneca · Cambridge, US
Research Assistant I/II/III - Pediatrics ResearchUTHealth Houston · Houston, US