Research Associate Intern

BillionToOne•Menlo Park, CA
•Onsite

About The Position

BillionToOne is hiring an on-site Research Associate Intern for its Menlo Park, California office. The intern will contribute to the development of molecular diagnostic products in oncology and prenatal medicine, working with scientists across molecular biology, genomics, bioinformatics, and quantitative modeling. The role offers exposure to molecular techniques, next-generation sequencing, and robotic tools, with work that can help move assays from research prototypes toward products used at scale in the clinical lab. The intern will be mentored by Senior Scientists and will develop a foundation for a scientific career. Applicants must be enrolled in an undergraduate or master’s degree program during Fall 2027 and anticipate a degree in a relevant scientific field. Candidates expecting to graduate before Fall 2027 or who have already graduated are directed to apply for the full-time Research Associate position instead. The base pay rate is $25 per hour.

Requirements

  • Must be enrolled 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.
  • Independent research experience.
  • Ability to quickly learn mathematical, analytical, and experimental concepts.
  • High mathematical and statistical aptitude.
  • Great attention to detail.
  • Strong statistical and quantitative skills, including rigorous reasoning about data, signal and noise, and statistical power.
  • Meticulous experimental practice, including rigorous recordkeeping and careful controls.
  • Excellent communication in a fast-paced, collaborative environment, including proactively sharing findings and asking questions early.

Nice To Haves

  • Experience with standard molecular biology techniques relating to DNA, such as PCR.
  • Experience in a cell-free DNA setting.
  • Experience with next-generation sequencing library preparation.
  • Experience with computational analysis in R, Python, or another programming language.

Responsibilities

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

Benefits

  • Free daily on-site lunches provided from top eateries.
  • Latest hardware, including laptops, lab equipment, and facilities.
  • On-campus amenities including a state-of-the-art gym and restaurant.
  • Free on-site EV charging compatible with all EVs, including Tesla.
  • Competitive base pay of $25 per hour.
  • Opportunity for professional growth.
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