Bioinformatics Scientist – NGS Assay Development

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $90k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 0%

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3T Biosciences

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

🧬 Biotechnology

🏥 Healthcare

💊 Pharmaceuticals

💰 $40M Series A on 2022-08

Biotechnology • Healthcare • Pharmaceuticals

3T Biosciences is an immunotherapy company developing next-generation, transformative therapies for the treatment of solid tumors and other immune-mediated diseases in broad patient populations. By leveraging the power of the immune system to recognize, target, and destroy cancer cells, 3T's technology is advancing the development of next-generation therapies that have the potential to be safer, more effective, and even curative for difficult-to-treat cancers.

📋 Description

• Develop reproducible analyses and computational workflows in Python, R, and/or Bash to evaluate NGS assay performance. • Analyze DNA and RNA sequencing data from targeted assays, including SNVs, indels, CNVs, fusions, coverage, assay artifacts, and other performance characteristics. • Investigate assay failures and unexpected results using sequencing data, genomic context, experimental metadata, and statistical or computational approaches. • Support development and optimization of targeted amplicon-based NGS assay workflows. • Research genomic targets and interpret assay results using ClinVar, gnomAD, TCGA/cBioPortal, dbSNP, and primary literature. • Collaborate with molecular biology scientists to translate experimental observations into computational analyses and assay improvements. • Develop tools, scripts, and analytical methods to improve assay-development efficiency, robustness, and interpretability. • Maintain reproducible analyses with version control, data provenance, and documentation. • Communicate findings through technical reports, figures, presentations, protocols, and other documentation. • Manage multiple development projects and analyses while recording assumptions, methods, results, and outstanding questions.

🎯 Requirements

• MS or PhD in bioinformatics, computational biology, genetics, genomics, or a related field. • Demonstrated hands-on programming experience in Python, R, or another general-purpose scientific programming language. • Strong knowledge of human genomics and genetic variation. • Experience analyzing human NGS data, including alignment, QC, variant analysis, and interpretation. • Familiarity with FASTQ, BAM/CRAM, VCF, BED, BWA, samtools, bedtools, GATK, or equivalent tools. • Ability to independently investigate complex datasets, identify analytical or experimental problems, and communicate conclusions. • Strong scientific writing and documentation skills. • Ability to manage multiple analyses and development activities with appropriate documentation and follow-through. • Ability to communicate effectively with molecular biologists, software engineers, and other cross-functional collaborators. • The role is full time and remote in the U.S. • Preferred: experience with targeted NGS assays, oncology genomics, somatic variant analysis, clinically relevant sample types, assay performance metrics, primer/probe or target-region design, genomic algorithms, and Git, Jira, or containers.