2022-11-09T06:25:27-05:00 X, The Moonshot Factory
Data Scientist, Plant Biology
Software Engineering
Mountain View, CA

X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.


About the team:

You'll join a team at X that provides world-class computational support to the many different projects, ideas and experiments at the Moonshot Factory. You'll work directly with teams across X to share expert machine learning expertise, advice and hands-on implementation -- from early concept through launch and supporting prototyping, experimentation, technical development and more.


About the role:

We are currently looking for a full-time person to provide critical expertise in computational biology methods and thinking. You will initially focus your time on an early stage project in computational plant biology, but will also have the opportunity to build new projects after your rotation with that team.

A special type of person will thrive at X: a learning machine who doesn’t fear a failed experiment. One who embraces iteration, scrappy experiments, and ambiguity. The team especially values self-starters with a team-oriented work style, the capability to navigate a complex set of goals and tasks, the willingness to be open and vulnerable with your teammates, and the ability to work hard under stressful conditions or tight timelines for limited periods.


How you will make 10x impact:

  • Work with ML researchers and other scientists deliver high quality data and analysis pertaining to biological systems.
  • Analyze diverse biological data sets, including sequencing-based (WGS, RNAseq, ATACseq, AMPseq, etc.), mass spectrometry-based (metabolomic, proteomic), and phenomic data from single cells, to whole plants, to whole plots, to whole fields.
  • Coordinate closely with wet-lab and field scientists to ensure data integrity and alignment between modeling and experimental efforts.
  • Build and maintain custom informatics pipelines.
  • Stay up-to-date with the latest developments in data science and be a center of knowledge, especially for the latest in bioinformatics tools.
  • Analyze and track bioinformatic pipeline capacity. Have a relentless focus on pipeline efficiency and throughput.
  • Analyze and track bioinformatic pipeline capacity. Have a relentless focus on pipeline efficiency and throughput.
  • Synthesize analysis and results to inform experimental design.
  • Participate in scientific discussions and present research outcomes to peers and management.


What you should have

  • Master’s Degree or PhD in mathematics, data science, computer science, statistics, computational biology or equivalent experience.
  • 3+ years experience researching or working on data science, statistics, genomics, computational biology, machine learning or related disciplines.
  • Knowledge of statistical methods and applied machine learning.
  • Fluency in Python.
  • Experience working with biological data, with an emphasis on NGS.
  • Impact-driven.
  • Ability to be self directed, integrate diverse analyses, work in a cross-functional team, work effectively in unstructured, ambiguous environments, and bring creative, lateral thinking to the hardest problems.
  • Ability to synthesize information and communicate results effectively, to both technical and non-technical audiences.
  • Strong organizational skills, including a commitment to proper documentation.
  • Ability to work on-site at our offices in Mountain View, CA.
  • A commitment to personal growth, and to giving and receiving feedback.


It’d be great if you also had these

  • Experience/exposure to end-to-end industrial bioinformatics pipelines.
  • Familiarity with ML frameworks such as TensorFlow, PyTorch, or JAX.
  • Experience with bioinformatics tools such as Kallisto/Salmon, HiSat, GATK, and variant detectors
  • Understanding of molecular biology, field trial design, or population genetics.
  • Experience in the agriculture industry.
  • Experience working with any of the following: AWS, Docker, Git, Benchling, web development, Agile methodologies, microservices, APIs.
  • Experience with single-cell data.


The US base salary range for this full-time position is $126,000 - $192,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.



At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please contact us at: x-accommodation-request@x.team.

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