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You have strong hands-on experience with molecular biology and protein techniques including, but not limited to, nucleic acid isolation, qPCR, RT-qPCR, western blots. You have a PhD or M.S. degree in Biology or related science with 5 to 8 years of additional experience in biotech/pharma.
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Broad technical experience sufficient to design and execute target validation and MoA studies (CRISPR KO/KI, genetic rescue, general molecular biology, etc. They will deeply explore the target biology to refine indication space and/or biomarker hypotheses, mechanistically “connect the dots” from target engagement to phenotype in disease-relevant contexts, and will bring in depth knowledge of transcription factor biology including mechanisms of regulation, interaction with transcriptional machinery and dynamics of DNA binding.
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The successful candidate will work in a fast-paced, goal-oriented environment and advance their career at the cutting edge of synthetic biology. Requires BS or MS in Chemistry, Chemical Biology, Biochemistry, Molecular Biology, (Bio)chemical Engineering, or related field.
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BS/MS degree in Protein Biochemistry, Molecular Biology, or similar. Protein biochemistry and molecular biology experience. BS/MS degree in Protein Biochemistry, Molecular Biology, or similar.
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Research Specialist D/Computational Scientist (Machine Biology Group) Strong proficiency in computational biology, including genomics, transcriptomics, and proteomics data analysis. Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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PhD in Chemistry, Biochemistry, Biology or a closely related science with experience in microbial genetics, gene editing, and synthetic biology. Do you have at least a PhD in Chemistry, Biochemistry, Biology or a closely related science with experience in microbial genetics, gene editing, and synthetic biology.
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A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred. We are seeking a highly motivated and experienced individual to help coordinate the computational core within the Machine Biology Group/de la Fuente Lab. As the Computational Core Scientist, the candidate will play a pivotal role in advancing our cutting-edge research at the intersection of computational biology and ground-truth experimentation.
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The Screening Bioassay and Automation team is focused on in vitro cell-based assay with a unique expertise in high-throughput biology and laboratory automation. Cell Biology: cell culture (cell lines & primary cells), cell banking, immunostaining, flow-cytometry.
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A position is open for a Postdoctoral Researcher with a strong background in cell/molecular biology and neurodegenerative disease to join the research laboratory of Dr. Annie Hiniker, Associate Professor of Pathology, University of Southern California.
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Knowledge of and experience with molecular biology and/or synthetic biology experimental approaches. Familiarity with methods and systems used in biomanufacturing, essential molecular biology and methods such as PCR, purification, gel electrophoresis, sequencing, and high dimensional cell characterization approaches.
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In addition, the successful candidate will carry out synthetic biology research in support of several projects that focus on medicine making, sustainability, and biomaterials. Specific expertise in synthetic biology and biomaterials.
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Strong scientific background, particularly in NGS, molecular biology, with proficiency in bioinformatics. Ph. D. degree in Molecular Biology, Genetics, Immunology, Biology, or related field.
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Master’s degree in bioinformatics, computational biology, genetics, data science or related field with at least three years’ direct experience in computational analysis of large single cell sequencing-based molecular data sets.
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Strong knowledge of solid tumor cancers, in-vitro and in-vivo pre-clinical models of cancer, cell biology, molecular biology, and/or biochemistry in the context of cancer biology. You will help set program strategy, manage and mentor a team of direct reports, and stay up to date with relevant technical and intellectual scientific expertise in tumor biology and cancer modelling.
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Potential areas of interest include, but are not limited to, studies focused on development of novel computational methods in biophysics, structural biology, genomics, genetics, and bioinformatics with applications ranging from image analysis for cryo-EM, cryo-ET, and advanced light microscopy to AI/ML-based modeling of protein structure-function- evolution as well as dynamic intracellular processes.
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biology job Company: Genoskin in Salem, Massachusetts
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