Senior Bioinformatics ScientistThe University of Texas MD Anderson Cancer Center • Saint Paul, Illinois, United States
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Senior Bioinformatics Scientist
The University of Texas MD Anderson Cancer Center
- Saint Paul, Illinois, United States
- Saint Paul, Illinois, United States
Über
Responsibilities
Own bioinformatics strategy and execution for assay development, from initial design through validation and deployment, for both new and on‑market products.
Plan and manage analytical workstreams within broader project core teams, ensuring timelines, scope, and deliverables are met.
Design development and validation studies in partnership with wet lab and clinical teams; define analytical performance metrics and acceptance criteria.
Develop and apply advanced statistical and machine learning approaches to characterize assay performance, identify failure modes, and guide optimization.
Translate complex analytical results into clear, actionable insights for cross‑functional partners and leadership.
Build scalable, automated workflows for large‑scale NGS data processing using cloud infrastructure (e.g., AWS) and containerized environments.
Partner with software/DevOps teams to harden and deploy bioinformatics pipelines into production, with appropriate monitoring and logging.
Ensure all pipelines and analyses meet applicable regulatory and quality requirements (e.g., CAP/CLIA, FDA, IVDR), including rigorous testing, documentation, and version control.
Contribute bioinformatics sections to regulatory submissions, audits, and technical reports.
Mentor and provide scientific/technical guidance to junior bioinformatics and data science team members.
Required Skills Required Qualifications
PhD or MS in bioinformatics, computational biology, statistics, computer science, or a closely related quantitative field.
6–7+ years of hands‑on experience in bioinformatics analysis, algorithm development, and end‑to‑end pipeline implementation, ideally in an industrial or clinical diagnostics setting.
Deep understanding of NGS technologies and library preparation strategies (e.g., whole‑genome, targeted enrichment, RNA‑seq, methylation or other specialty workflows).
Strong background in quantitative transcriptomics in human disease, including methods such as differential expression, dimensionality reduction, expression‑based classifier development, RNA signatures, and cell‑type deconvolution.
Demonstrated expertise in machine learning and development of novel computational methods for high‑dimensional molecular data, including benchmarking and validation of algorithms.
Proven experience designing, implementing, and operating bioinformatics workflows in the cloud (preferably AWS services such as EC2, S3, Step Functions, Batch, Lambda or equivalents).
Advanced proficiency in Python, including use of testing frameworks, code review, and modern software development best practices (e.g., CI/CD, version control, documentation).
Experience working side‑by‑side with Quality and Regulatory teams on assay and analytical pipeline verification, validation, and lifecycle management.
Track record of technical leadership, ownership of complex projects, and the ability to work independently while influencing cross‑functional stakeholders.
Preferred Experience
Direct, iterative collaboration with wet lab scientists on experimental design, data interpretation, and troubleshooting.
Experience with genomic and sequence‑level analyses such as variant calling (SNVs, indels, CNVs, structural variants), NGS QC, splicing analysis, and other secondary/tertiary analyses.
Familiarity with germline and somatic mutation processes and genome‑wide biomarkers with potential clinical utility (e.g., TMB, mutational signatures, LOH).
Working knowledge of R for statistical analysis and visualization.
Exposure to relational and/or NoSQL databases for managing large biological datasets.
Strong communication skills in an interdisciplinary environment, including the ability to explain complex methods and results visually and verbally to non‑experts.
Demonstrated problem‑solving skills and comfort working through ambiguous technical challenges.
Compensation The role offers a competitive base salary in the approximate range of $150,000–$190,000 USD, commensurate with experience, skill set, and location. Total compensation may also include performance‑based incentives and equity.
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Sprachkenntnisse
- English
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