Postdoctoral Fellow: NGS Bioinformatics and AI for Protein Design jobs in United States
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Noblis · 20 hours ago

Postdoctoral Fellow: NGS Bioinformatics and AI for Protein Design

Noblis is seeking a postdoctoral candidate with a strong background in life science bioinformatics and synthetic biology. The ideal candidate will develop and maintain bioinformatics pipelines for multiomics integration while leveraging AI to drive hypothesis generation, biomarker discovery, and de novo protein design.

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Growth Opportunities
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Responsibilities

Develop and maintain AI-driven bioinformatics platforms (integration pipelines, visualization tools, foundation models, and LLMs)
Design and implement workflows for DNA/RNA extraction, next generation sequencing (NGS), and bioinformatic analytics including engineered detection systems
Participate in the innovation, design, and development of statistical and analytical solutions that are reproducible
Exercise independent judgment in developing methods, techniques, and evaluation criteria for research and data analyses
Clearly articulate research findings in peer-reviewed publications, grants, proposals, white papers, and presentations
Actively participate in scientific/industry symposiums, conferences, and professional societies
Work both autonomously and collaboratively with a positive collegial attitude

Qualification

BioinformaticsNext Generation SequencingProgramming PythonProgramming RMachine LearningData AnalysisContainerization (Docker)Cloud ComputingDatabase ManagementAnalytical SkillsEthical StandardsCommunicationOrganizational Skills

Required

PhD degree in Bioinformatics, Computational Biology, Data Science, Biostatistics, Computer Science, Biology or a related field granted soon or within the last 5 years
The candidate must be a U.S. citizen with a government clearance or the ability to obtain one
Familiarity with next-generation sequencing platforms (e.g., Illumina, Pacific Biosciences, Oxford Nanopore Technologies) and associated data types
Strong analytical skills with experience in applying and/or developing methods for analyzing various types of -omics data (genomics, transcriptomics, proteomics, or metabolomics)
Fluency in multiple programming languages, including UNIX/Linux, Python and R, for small- and large-scale tool development
Experience deploying externally facing, reproducible code and deliverables including use of Git/GitHub/Atlassian systems
Strong organizational skills with ability to efficiently manage time, including skillfully prioritizing both long-term projects and day-to-day responsibilities
Excellent communication skills and an ability to explain highly technical concepts to non-experts
A desire for publishing in relevant scientific journals
High degree of ethical and scientific standards

Preferred

Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) for biological data analysis
Knowledge of protein structure prediction tools and protein design algorithms
Experience with containerization technologies (Docker, Singularity, Kubernetes)
Familiarity with cloud computing environments (AWS, Azure, GCP)
Database management skills (SQL, NoSQL)
Experience with high-performance computing environments
Knowledge of statistical methods for experimental design and data analysis
Background in structural bioinformatics and molecular modeling
Experience developing workflows using a workflow language (e.g., Snakemake, Nextflow, CWL)
Experience with de novo protein design principles and enzyme kinetics
Experience with molecular dynamics simulations

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs

Company

Noblis is a nonprofit science, tech strategy organization that works in the public interest to help clients solve most complex problems.

Funding

Current Stage
Late Stage

Leadership Team

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Mile Corrigan
President and CEO
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William Streilein
Chief Technology Officer
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