Data Scientist - Tigard, United States - Araceli Biosciences

    Araceli Biosciences
    Araceli Biosciences Tigard, United States

    1 month ago

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    Description
    The core goal of Araceli Biosciences is to accelerate drug discovery, by bringing advanced, AI-driven tools to market. We are passionate about our customers' success and that drives everything we do. Araceli

    Biosciences delivers high-performance scientific tools for tissue and cell-based biomarker discovery, drug discovery and drug development.

    Araceli is transforming the high content imaging market and is looking for a passionate Data Scientist to support our growth.


    We are seeking a talented Data Scientist with experience in image analysis, computer vision, statistics, and programming to join our team.

    As a Data Scientist at Araceli Biosciences, you will play a crucial role in creating and applying AI models and advanced analytics techniques to derive insights from biological images created in the high content screening pipeline, primarily focusing on the Araceli Clairvoyance analysis software platform.

    This role is best suited to an on-site or very limited hybrid work environment.

    The ideal candidate will be able to work efficiently on a remote basis, but also be dedicated to time spent in the office with the team.

    Success in this role will require working and collaborating with your colleagues in office and laboratory environments.


    Responsibilities:
    Be a subject matter expert, staying current on published state-of-the-art algorithms and competing technologies
    Collaborate with marketing, software development, and data science to identify and develop plans of action to define computer vision and analytics solutions for external stakeholder pain points
    Improve data annotation pipelines to create ground truth and training datasets for DNN and machine learning models
    Conduct independent quantitative research into model design and application, as well as custom non-ML image processing algorithms
    Develop data analysis pipelines for large image/video datasets used in the detection, segmentation, and processing of cellular biology
    Architect, train, and evaluate predictive models and algorithms focused on data extraction from images and downstream analysis of biological data
    Communicate findings and methods to cross-departmental stakeholders
    In-depth documentation of developed methods for internal reference, potential publication/patenting, and user guides
    Collaborate with software development team to translate findings into product


    Required Skills and Experience:
    Bachelor's degree in computer science or related areas, with relevant experience in computer vision-based tasks
    OR 5+ years industry experience in data science and computer vision
    Strong mathematical and statistical background, with expertise in applying these principles to machine learning and AI model development
    Proficiency in programming languages such as Python, R, or similar, with experience in building AI models and utilizing relevant libraries and frameworks (e.g., numpy, pandas, PyTorch, Tensorflow/Keras, OpenCV, Skimage)

    Solid understanding of computer vision topics:
    image formats, image data reduction and feature extraction methods, object detection and segmentation (YOLO, Mask/FasterRCNN), and model evaluation methods
    Demonstrated skills in exploratory data analysis, model validation, and data visualization techniques
    Strong ability to work independently with minimal direction
    Excellent communication skills, with the ability to effectively communicate and influence stakeholders at all levels
    Demonstrated creativity in identifying non-traditional data sources and methods for creating new datasets


    Beneficial Skills and Experience:
    Experience in biological image analysis
    Prior research and publications in top-tier journals and conferences (NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ECCV, ICCV)
    Exposure to high content screening and analysis pipelines for drug discovery
    Knowledge of image correction techniques (eg. background removal, lens deformation correction)


    Benefits and Compensation:
    Full benefits package
    Pay commensurate with experience


    About Araceli:
    Araceli Biosciences delivers high-performance scientific tools for tissue and cell-based biomarker discovery, drug discovery and drug development.

    With decades of combined biomedical research and instrument design experience, we are focused on developing scientific instrumentation to improve outcomes and enable our customers to advance scientific and medical research.

    Speed is essential for furthering our understanding of biology, and we believe in reducing the time needed to acquire high-quality data and obtain clear, high-quality results.

    By making advanced technologies accessible, we allow researchers to focus on the science, not the tool. Our goal is to develop innovative products that accelerate basic research, drug discovery, and manufacturing to advance healthy outcomes.

    We believe in blurring the line between science and technology, using one to improve the other in a holistic approach.


    Araceli Offers:
    A competitive compensation, commensurate with experience. Bonus opportunity.

    Medical, Dental, Vision and Life Insurance, 401(k) match, Tuition Reimbursement, 11 company holidays per year and 3 weeks of PTO (prorated in the first year of employment, depending on date of hire).

    Araceli is an equal opportunity employer, and we value diversity at our company.

    We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

    We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

    Please contact us to request accommodation.
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