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FCDI is expanding the use of genomics and next generation sequencing throughout our research and development teams. Work closely with team members in deploying tools and analysis and apply cutting-edge Next Generation technologies such as RNASeq, whole genome sequencing, epigenetic analysis, proteomics, and others to solve important problems in human health.
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The successful candidate will perform integrative analysis of diverse data types, develop and utilize next generation sequencing (NGS) and other analytical pipelines, and collaborate with internal and external investigators for interpretation of high dimensional data sets to inform biomarker hypotheses, target discovery, and other biological queries.
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Good understanding of genomics, molecular biology, and technologies such as qPCR and next-generation sequencing. Ph. D. (or other graduate degree with equivalent experience) in computational biology, bioinformatics, genetics or related life, physical, or computational sciences with at least one publication demonstrating the use or development of computational biology applications.
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Deep understanding of next¬-generation sequencing data and bioinformatics algorithms. REQUIRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Physics, Computer Science or related field.
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This team member will be using molecular biology and omics workflows including next-generation sequencing and proteomics as part of a diverse group of researchers, software engineers, and data scientists.
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We are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology.
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Demonstrated experience with next-generation sequencing (NGS) and functional genomics, single cell technologies; The FGSL scientist will contribute their expertise to the new FGSL and will collaborate with scientist from our local Therapeutic Areas (TAs) including Immunology and Respiratory, Cancer Immunology and Immune Modulation, CardioMetabolic Disease and will partner with Computational Biology and Data Sciences (CBDS) to deliver data to advance the portfolio.
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Looking for a highly motivated functional genomics and sequencing scientist to contribute to the growth of our new Functional Genomics and Sequencing Laboratory (FGSL). Ph. D. or Master’s degree from an accredited institution with 6+ years of experience in molecular, cell biology, or related scientific discipline.
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Experience with Next Generation Sequencing (NGS) technologies. In this exciting role, you will perform research assignments including isolating bacteriophages on non-model environmental isolates from a unique field site, carry out experimental characterizations of phage-host interactions, prepare samples for next-generation sequencing, adopt phage engineering approaches, and follow protocols to evolve phages with specific functional traits.
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Establish, develop, and implement optimal bioinformatics pipelines for the analysis of next-generation sequencing and other -omics data. Job Qualifications· Ph. D. in Computational Biology, Biostatistics, or a related field.
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The person filling this position is expected to play an important intellectual, technical, and scientific role in projects including, but not limited to, single-cell sorting, immunoprofiling, and next generation sequencing (NGS) of B cells elicited by experimental vaccines being developed in our laboratory.
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Strong working knowledge of next generation sequencing platforms and molecular biology of sample preparation. PhD in a quantitative discipline (e.g. Computational Biology, Bioinformatics, Biophysics, Systems Biology, Genomics, or equivalent.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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The automation team at Verve collaborates cross-functionally to build bespoke automated solutions for a variety of workflows spanning gene editing, analytical and next generation sequencing.
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Experience with large-scale data analysis of next generation sequencing data, such as CRISPR and single cell omics (RNAseq, Perturbseq) Sr. Scientist II - Masters, or PhD in computational biology, genetics, bioinformatics, computer science,engineering, (bio)statistics, mathematics, or related fields with a strong focus on data analysis with typically 8+ (MS), or 4+ (PhD) years of experience.
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