Research Associate Intern

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    BillionToOne

    We push the boundaries of molecular diagnostics through quantitative technologies.

    501-1,000 employeesFounded 2016Menlo Park, CaliforniaBiotechnology Research
    Actively hiringPaidFall 2027Biotechnology Research
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    Best applied by Oct 29

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    About the role#

    As a Research Associate Intern, you will contribute to the development of molecular diagnostic products for oncology and prenatal medicine. You will work alongside scientists with expertise in genomics, bioinformatics, and quantitative modeling. This role involves using molecular techniques and robotic tools to move research prototypes toward commercial products. This is a paid, full-time, on-site position based in Menlo Park, California, for the Fall 2027 term.

    What you'll do#

    • Design, execute, and troubleshoot experiments and assays under the guidance of Senior Scientists.
    • Learn analytical and computational methodologies to analyze results.
    • Document all experimental details and results accurately.
    • Present scientific findings through internal written reports and verbal updates at group meetings.

    What you'll need#

    • Enrollment in an undergraduate or master’s degree program during Fall 2027.
    • Anticipated BS or MS in Bioengineering, Molecular and Cell Biology, Microbiology, Biophysics, Biochemistry, or a related field.
    • Previous independent research experience.
    • High aptitude for mathematics and statistics.
    • Ability to learn new mathematical, analytical, and experimental concepts quickly.
    • Great attention to detail.

    Location & details#

    • Location: Menlo Park, California.
    • Term: Fall 2027.
    • Work Modality: On-site.
    • Compensation: $25 per hour.
    Relevant fieldsBiologyOther

    About BillionToOne

    BillionToOne is a biotechnology research company based in Menlo Park, California. Founded in 2016, the firm focuses on molecular diagnostics. It uses a proprietary molecular counting platform to identify DNA molecules at the single-count level. This technology aims to improve the accuracy and efficiency of disease detection. The company currently employs between 501 and 1,000 people.

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