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developing pipelines for production-level biological data analysis in Python or R. Strong bioinformatics and/or computational biology experience, including machine learning, statistical analysis and data
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): Bachelor's degree or a combination of education and relevant experience in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field. Experience may be from academic or industry
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candidate will join a small, collaborative group of staff scientists embedded within the Curtis Lab, providing software engineering expertise to support the development and maintenance of bioinformatics
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with at least 2 years of relevant experience, in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field. Experience may be from academic or industry settings. KNOWLEDGE
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technique and general microbiology techniques. Experience and basic knowledge of molecular biology techniques. Familiarity with commonly used bioinformatic tools Solid written and verbal communication skills
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confocal microscopy Histology Bioinformatic analyses EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related scientific field. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): General understanding
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the following areas: Expertise in organic or medicinal chemistry. Expertise in bioinformatics and machine learning. Outstanding mammalian cell culture techniques. Experience in basic cellular and molecular
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individuals who are passionate about science, learning, and collaboration. Candidates with a strong background in molecular and cellular biology, and/or experience in bioinformatics, will find this an ideal
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, DNA sequencing, RNA analysis and qRT-PCR. Experience in additional molecular biology techniques is a plus * Preferred to have some experience or literacy with bioinformatics analysis EDUCATION
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of high-molecular-weight DNA, support of library preparation, and review of run metrics/QC outputs. Basic bioinformatics comfort (or strong willingness to learn), such as running established analysis