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    Machine Learning Engineer Intern - New York, United States - Unnatural Products

    Unnatural Products
    Unnatural Products New York, United States

    2 weeks ago

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    Description

    About the Company:
    Unnatural Products is an integrated biotech company operating at the forefront of macrocyclic peptide drug discovery. Our mission is to leverage the potential of macrocyclic peptides to drug any protein target with small molecule-like pharmacokinetics.


    UNP's approach couples machine learning-based in silico tools with massively parallel peptide chemistry to enable the discovery and rapid optimization of highly non-natural macrocyclic peptides aimed at extracellular targets, undruggable intracellular oncology targets, and beyond.

    This strategy has enabled a fruitful ongoing collaboration with BridgeBio and has paved the way for additional upcoming academic and pharma partnerships.

    Unnatural Products is a dynamic team of humble, brilliant, and hardworking scientists committed to changing the face of medicine. Based in Santa Cruz, CA we combine world-class science with a relaxed culture in a beautiful location. Come join us in shaping the future of biotech


    Role Details:

    Location:
    Santa Cruz, CA or Los Angeles, CA (Hybrid, Not Remote)
    Term: 3 months with potential to renew an additional 3 months.

    Hours:
    Part-time, hours per week.

    Base Pay Range:
    $ $50.00 per hour based on pursuit of a Master's or Ph.
    D.


    Responsibilities:


    As a Machine Learning Engineer Intern, you will collaborate with our R&D teams to develop and implement machine learning solutions in the field of chemistry.


    Your primary responsibilities will include:


    Analyze data (clustering, molecular similarity) from our proprietary screening platform to produce hypotheses and additional insights to guide molecular design.

    Develop and contribute to in-house machine learning frameworks for molecular generation, molecular similarity, hit prediction, etc.
    Collaborate with cross-functional teams, including chemists, data scientists, biologists, and software engineers, to ensure successful integration of machine learning solutions
    Communicate technical concepts and findings effectively to both technical and non-technical team members.


    Qualifications:
    Enrolled in a Master's or Ph.
    D. program in Computer Science, Machine Learning, Chemistry, or a related field.
    Strong background in chemistry with demonstrated ability to apply chemical knowledge to machine learning problems.
    Experience with graph convolution networks and their application in chemistry.
    Proficiency in programming languages such as Python and experience with relevant machine learning frameworks (e.g., PyTorch, Torch Geometric).
    Experience with cloud computing frameworks such as aws.
    Excellent problem-solving skills and a proactive attitude towards learning new technologies.
    Proficiency with Python visualization and data analysis stacks (numpy, pandas, seaborn, matplotlib, etc).
    Familiarity with cheminformatics toolkits such as RDKit.


    Bonus Points:
    Familiarity with 3D deep learning modeling techniques particularly as it pertains to Irreducible Representations is a plus.


    Equal Employment Opportunity:
    Unnatural Products Inc.

    is a committed equal opportunity employer and evaluates job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability, or veteran status.


    At Unnatural Products, we advocate for job titles that align with an individual's skill set, the impact they have on the organization, and the value they bring.

    We welcome applicants of varying levels of experience and recognize that responsibilities and job titles may be adjusted accordingly.


    An individual's compensation is based on multiple factors, including education, relevant experience, and length of industry experience will influence the actual pay offered.

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