The Molecular Training Specialist is responsible for performing a broad range of molecular techniques including, but not limited to, blood processing and buffy coat extraction, RNA/DNA extractions, PCR, Next-Generation Sequencing, equipment maintenance, laboratory inventory, sample tracking, and receiving packages.
Responsibilities
Maintain regulatory compliance to all applicable regulatory requirements (FDA, CLIA, NYS, ISO, CAP, etc.)
Maintains exceptional quality standards for all molecular analysis.
Initiates, tracks and documents the creation of competency samples.
Initiates, tracks and documents the progress of employee training, including the review of cap checklists.
Completes data analysis and concordance for competencies and training samples.
Requirements
Bachelor's degree in a chemical, biological, clinical or medical laboratory science, or medical technology from an accredited institution
Nice to have: Master's degree in a chemical, biological, clinical or medical laboratory science, or medical technology
Nice to have: Experience in FDA regulated industries
Nice to have: Knowledge of laboratory safety procedures for biohazards and chemicals
Lead Biostatistician overseeing design, analysis, and interpretation of R&D and analytical validation studies for complex biomarkers in cancer diagnostics.
Compensation
$130,900—$163,600 USD
Responsibilities
Lead biostatistics efforts designing and executing analyses for analytical validation studies in support of CLIA LDT and in vitro diagnostic approvals
Perform relevant statistical analyses such as sample size, power, agreement, precision, LoD calculations for validation studies
Produce high quality presentations and author documentation of analysis plans, methods, results, and interpretation
Effectively convey statistical concepts and results to cross-functional internal and external collaborators and stakeholders
Identify risks, communicate concerns, and champion solutions to interdisciplinary project teams
Requirements
Master’s degree in biostatistics, statistics, or equivalent
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
Principal Scientist - Bioanalytical Quality Scientist
Provide independent scientific and quality oversight for biomarker assay development, validation, implementation, and ongoing performance across multiple technology platforms.
Compensation
Salary Range (annually) $128,600.00 - $210,000.00
Responsibilities
Provide independent scientific and quality oversight for biomarker assay development, validation, implementation, and ongoing performance across multiple technology platforms.
Review and approve assay-development scopes of work, analytical validation plans, quality-monitoring plans, final validation reports, and biomarker analytical reports.
Define fit-for-purpose validation strategies and design pilot studies to identify and control preanalytical variables that may affect assay performance.
Partner with Global Clinical Operations and external laboratories to ensure assays are properly validated and implemented for clinical sample testing.
Conduct technical assessments and site visits as needed to evaluate analytical performance, operational rigor, scientific quality, and readiness to meet clinical-study needs.
Requirements
Ph.D.
M.D.
or comparable advanced degree in a relevant scientific discipline
The Sr. Principal Medical Development Director, MD will be responsible for clinical and translational leadership in the development and execution of the company’s oncology strategies, including the design and implementation of next-generation sequencing (NGS) based assays.
Locations (2)
Redwood City, California, United States
United States
Compensation
The base pay for this position is $149,300.00 – $298,700.00 In specific locations, the pay range may vary from the range posted.
Responsibilities
Develop the overall vision and strategy for one or more specific Exact Sciences’ Precision Oncology (PO) products
Identify opportunities to expand indications for existing PO products and new products within the pharma space
Collaborate with cross-functional team members to provide medical expertise for commercialization strategy
Participate as the medical monitor on study teams and lead the development of clinical protocols
Engage with medical leaders within precision and molecular, medical and surgical and radiation oncology
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.
Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
Assess and optimize computational pipeline parameters, software configurations, and statistical methods.
Analyze biological datasets, including Next-Generation Sequencing (NGS) data, RNA sequencing and single-cell datasets, genomic variants and variant calling results, protein structures and proteomics data, molecular and cellular biology datasets.
Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility.
Requirements
Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline
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