Senior Data Scientist
CurrentAdvancing life science missions through unparalleled expertise in biology and data science.
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Daniel Konecki is listed as Senior Data Scientist at OmniScience, based in Greater Houston, United States, United States. AeroLeads shows a matched LinkedIn profile for Daniel Konecki.
Daniel Konecki previously worked as Data Scientist at Omniscience and Graduate Student at Baylor College Of Medicine. Daniel Konecki holds Doctor Of Philosophy - Phd, Quantitative And Computational Biosciences from Baylor College Of Medicine.
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I am a data scientist and engineer with full-stack technical experience spanning application development, machine learning, and bioinformatics. I work collaboratively with domain experts and other developers to engineer robust, extensible data pipelines that scale from individual to high-throughput experiments to address key research needs. When constructed correctly, these pipelines provide valuable training data for machine learning models and help answer current questions and generate new research questions. Having built robust data pipelines has enabled me to rapidly test initial models and alternative approaches. These are often more successful and enable further exploration beyond what would have been possible if development had been geared toward a singular purpose.The core of successful data-driven research is an understanding of the research objectives and the ability to communicate results to a variety of audiences with diverse technical and non-technical expertise. My exposure to diverse projects and collaborators throughout my graduate work has made me a skilled listener and communicator, enabling me to learn quickly and convey what I have learned to others in contexts ranging from presenting at team meetings and national conferences to mentoring students 1-1.
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Houston, Texas, US
Advancing life science missions through unparalleled expertise in biology and data science.
Houston, Texas, US
My graduate research in the Lichtarge Lab focuses on analyzing covariation in protein sequences and combining this data with phylogenetic information to predict protein structure and function. The method I developed outperforms standard and recently published methods for predicting structural contacts and genetic interactions. I implemented this method in.
Houston, Texas, US
Served as teaching assistant for the course Application to Biology of Computation for two winter terms. This course is a survey courses covering a broad range of research areas in biomedical science and how computation has furthered those fields and what algorithms and tools are currently being applied. As teach assistant I held office hours, facilitated.
Wrote software using the Java Native Interface (JNI) to compress and extract CIF files from Illumina Next-Gen sequencers using a C library developed in the lab enabling a new Java based genome browser. I also built a data pipeline using R and the Bioconductor package to retrieve and preprocess exon array and RRBS data in the Gene Expression Omnibus (GEO).
Stamford, CT, US
Analyzed next generation sequencing data for diagnostic patient panels, annotating variants for analysis by senior analysts and genetic councilors, using Excel workflows, EagleView, Sequencher, and Tablet. In addition to variant analysis, i identified and prioritized useful features for analysis software whose adoption and integration into workflows.
Heidelberg, DE
Identified efficient antibodies for use in Western blots as well as effective siRNAs for knock down of three specific proteins in selected cell lines. Became proficient in the creation of cDNA from cellular extracts and analysis thereof by qRT-PCR in order to determine effectiveness of siRNA. Plated, cultured, and harvested cell lines for siRNA experiments.
Bethesda, MD, US
Performed additional Western blot and flow cytometry experiments to characterize the role of Rapamycin in differentiation of murine CD4+ and CD8+ cells into Th1 and TC1 cells. Together the work from this and the previous internship helped finalize a larger project which was presented at a national conference and then published.
Bethesda, MD, US
Investigated the role of Rapamycin in differentiation of murine CD4+ and CD8+ cells into Th1 and TC1 cells. To this end, I ran a number of Western blots and also helped in the care and handling of mice for my project and related projects. I also observed and analyzed flow cytometry measurements of CD4+ and CD8+ cells under various conditions.
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Daniel Konecki works for OmniScience.
Daniel Konecki is listed as Senior Data Scientist at OmniScience.
Daniel Konecki is based in Greater Houston, United States, United States while working with OmniScience.
Daniel Konecki has worked for Omniscience, Baylor College Of Medicine, Center For Bioinformatics And Computational Biology, Genedx, and Dkfz German Cancer Research Center.
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Daniel Konecki holds Doctor Of Philosophy - Phd, Quantitative And Computational Biosciences from Baylor College Of Medicine.
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