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    Bioinformatics Data Engineer - San Francisco, United States - Rose International

    Rose International
    Rose International San Francisco, United States

    5 days ago

    Default job background
    Permanent Technology / Internet
    Description

    Date Posted: 05/09/2024

    Hiring Organization: Rose International

    Position Number: 463817

    Job Title: Bioinformatics Data Engineer

    Job Location: Remote, USA

    Work Model: Remote

    Employment Type: Temporary

    Estimated Duration (In months): 8

    Min Hourly Rate ($): 55.00

    Max Hourly Rate ($): 65.00

    Must Have Skills/Attributes: Analytical Skills, Bioinformatics, Python, R


    Job Description


    Only those lawfully authorized to work in the designated country associated with the position will be considered.


    Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.


    Minimum Qualifications:


    • Educational Background: PhD in Computer Science, Bioinformatics, Statistics, or a related quantitative field preferred, Masters is ok too


    • Machine Learning Expertise: Solid experience with AI and machine learning tools and frameworks.


    • Programming Proficiency: Proficient in Python and R, with a strong track record of developing and deploying applications in a cloud environment.


    • Experience with Biological Datasets: Demonstrated ability in handling complex biological datasets, including consortium and atlas-type data, and applying advanced statistical and machine learning methods to solve real-world problems.


    Preferred Skills:


    • Data Handling Expertise: Extensive experience in data harmonization, normalization, and pre-processing of large-scale biological datasets to ensure their readiness for machine learning applications.


    • Understanding of Biological Data Nuances: Deep understanding of the nature, limitations, and pitfalls of biological datasets and the ability to apply this knowledge systematically in data cleaning and management.


    • Advanced Machine Learning Techniques: Expertise in genetic algorithms, ensemble methods, and unsupervised learning techniques, with a focus on their application to biological data.


    • Analytical Skills: Excellent analytical skills, with the ability to see beyond the numbers to the strategic implications of the data.


    • Collaboration and Communication: Strong communication and collaboration skills, with experience working in agile, cross-functional teams.


    • Passion for Innovation: A strong passion for using AI to drive innovations in health technology and drug discovery.


    We are seeking a Bioinformatics Data Engineer to spearhead the development of an AI-first ecosystem aimed at transforming the drug discovery landscape. This role demands a proactive individual with a profound understanding of machine learning, AI, and bioinformatics, poised to deliver innovative solutions that accelerate the validation and identification of novel drugs. The ideal candidate will have extensive experience in managing and analyzing large-scale biological data, understanding its intricacies, and using this data to train robust machine learning models.


    Key Responsibilities:


    • Architect and Develop AI-Driven Ecosystems: Design and develop an advanced AI-driven data ecosystem to facilitate efficient and accurate drug target discovery.


    • Implement Scalable Machine Learning Models: Design and implement scalable machine learning models and data pipelines to analyze complex biological datasets, including genomic, transcriptomic, and imaging data.


    • Cloud Platform Utilization: Utilize modern cloud platforms to deploy machine learning solutions and manage large-scale data storage and computation.


    • Advanced AI Techniques: Innovate and apply state-of-the-art AI techniques, including deep neural networks, to extract insights from large and diverse datasets.


    • Collaborate on Drug Discovery Strategies: Work with interdisciplinary teams to translate experimental data into actionable drug discovery strategies.


    • Continuous Technology Integration: Stay at the forefront of AI, machine learning, and bioinformatics, continuously integrating new technologies and methodologies to enhance data-driven decision-making.


    Benefits:

    For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.


    California Pay Equity:

    For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

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