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Data Scientist-Life Science

BioLink 360
San Diego, CA Full Time
POSTED ON 1/29/2025
AVAILABLE BEFORE 4/25/2025

Title : Lead Data ScientistReports to : Director of Computer VisionLocation : Southern CaliforniaJob Type : HybridSalary : 140-170KClinical Data ScientistTo be considered, email Resume To : Jackie@BioLink360.comWe are looking to hire a Computer Vision / Machine Learning expert with extensive experience leading the development of marker-based AR applications, with experience in both pre-clinical and clinical applications. This is a medical device company known for delivering innovative and disruptive technologies across a number of medical specialties.The person hired for this role will lead the development, validation, and delivery of algorithms and implement advanced algorithms and models for analysis, registration, segmentation, and classification. This person will handle clinical trial data analysis, design data visualization tools, and oversee all reporting on development, quality, and risk management.Responsibilities Utilizing diverse data sets (including log files, study data, survey data, clinical databases, etc.) to inform business decisions and create evidence that supports the ongoing success of the Ion platform.Designing and building complex predictive models.Designing experiments, evaluating the quality of derived assets, and developing dashboards to monitor model performance.Proactively reporting on the status of development, quality, and risks to management.Preparing interactive dashboards, analytics, regression models, product & operational improvement, and quality assurance.Ideating, designing, prototyping, and iterating DS / ML / AI models.Qualifications Advanced degree in computer science, engineering, or a related field.6 years of experience in Clinical Data Management.Expertise in programming languages such as Python, Matlab, and C / C .Expertise in algorithm development for life science technologies.Experience with clinical development / trial conduct, including ICH-GCP.Skilled in statistical analysis, data mining, and machine learning.#J-18808-Ljbffr

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