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Analytical needs can include: data aggregation/creation, data cleaning/manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.
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As needed, collaborate with internal and external collaborators to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science.
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Job Summary: As a member of the Algorithms and Machine Learning team at Pison Technology, the Data Scientist will support machine learning research and development through data collection, signal processing, data mining/analysis, and model research.
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The Data Scientist will also interact with lab members emulating clinical trials in electronic health records using federated learning of target trial emulation with collaborators conducting molecular dynamic simulation for drug discovery, and with medicinal chemists conducting in silico screening.
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The Certifying Scientist will be responsible for reviewing and verifying all data to ensure its accuracy before the final results get reported. Labcorp is seeking a Certifying Scientist to join its team in Raritan NJ. This position will be working in the Forensic Toxicology department which performs urine drug of abuse monitoring testing.
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Principal Scientist, Bioinformatics Data Science Dyne Therapeutics is a clinical-stage muscle disease company focused on advancing innovative life-transforming therapeutics for people living with genetically driven diseases.
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ProFound Therapeutics is seeking a pioneering Scientist/Senior Scientist, Computational Biology, specialized in analyzing data from single-cell and/or spatial multi-omics technologies to help advance the ProFoundry TM Platform.
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Collaborate closely with scientific staff and computational biology team to ensure transparency and quality of NGS experimental data. We are looking for a highly motivated and innovative candidate for the role of NGS Scientist.
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Scientist/Sr. Scientist Data Curator - Life Sciences Full-time remote position Rancho Biosciences is seeking a data curator with a solid foundation in life science for a full-time role with the company.
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Collaborates with Enterprise Data Strategy team peers including Governance Lead, Lead Data Scientist and Enterprise Data Platforms as well as Information Services Peers including but not limited to IS Strategic Partners, Information Security and the Enterprise Architect.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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NGS Data Analysis: Lead and contribute to the design and execution of bioinformatics pipelines for the analysis of NGS data, with a specific emphasis on RNseq datasets. RNA Biology Expertise: Utilize deep knowledge in RNA biology to interpret complex sequencing data, including differential gene expression, alternative splicing, and non-coding RNA analysis.
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You have a solid understanding of molecule-property data and predictive model quality; expertise in data analytics and a solid grasp of statistical principles. In partnership with the Data Science team, manage bioassay data integration into the Flare data management platform (supporting early hit finding through DC candidate identification) and help lab scientists analyze and report project data efficiently.
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Masters degree in chemistry, biology, pharmacy, engineering or related pharmaceutical science; 9+ years (Sr. Scientist) or 6+ years (Scientist) relevant industry experience. PhD in chemistry, biology, pharmacy, engineering or related pharmaceutical science; 3+ years (Sr. Scientist) relevant industry experience.
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Establish best practices for analyzing high-dimensional data from formulation, in vitro, and in vivo studies. Apply computational tools to analyze complex data, particularly in the context of drug discovery or biological sciences.
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