About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

About the role

As a (Senior) Data or Research Scientist, you will have the opportunity to improve medical research using state-of-the-art machine learning algorithms. You will work within an interdisciplinary team with both machine learning and biomedical expertise to build foundation models of biology that will unlock AI applications and biomedical innovations.

What you will be doing as a Research / Data Scientist:

As an expert Research or Data Scientist in computational biology, you will:

● Join a team paving the way for the development and application of foundation models in

biomedical research.

● Drive the application of foundation models to relevant biomedical data, including but not

limited to genomics, proteomics, single-cell omics and computational histopathology.

● Design evaluation protocols and leaderboards to guide continual model improvement

and alignment with the needs of various stakeholders.

● Conduct methodological research in key areas to unlock novel applications. This

research includes (but is not limited to) writing scientific publications and patents.

Depending on your level of experience, you will have the opportunity to supervise a team and

lead ambitious projects.

Who we are looking for:

The successful Research or Data Scientist will have a ‘team-first’ kind of attitude; be

independent, curious and detail-attentive; and thrive in a dynamic, fast-paced environment and:

● MSc or PhD in computational biology or a related field (bioinformatics, statistics,

machine learning, ...) or equivalent experience.

● Demonstrated expertise applying machine learning to computational biology, including

scientific publications at high-impact journals (Nature, Science, Cell, Nucleic Acids

Research, Genome Biology, ...) and/or top conferences in the field (ISMB, RECOMB,

NeurIPS, ICLR, ICML, ...).

● Extensive experience working with at least one of genomics, proteomics, single-cell or

histology data, encompassing the entire analysis pipeline, from dataset generation and

curation based on raw measurements with the appropriate bioinformatics tools, to the

application of machine learning models to assess scientific hypotheses and drive novel

discoveries.

● Deep knowledge of best practices in the field, including how to account for noise,

common artifacts and batch effects, and mastery of the different evaluation protocols

and metrics used in the literature.

● Excellent written and oral communication skills.

Ways to stand out:

The following are not necessarily required, but would be a plus for the Research or Data

Scientist:

● Good command of coding in python, and willingness to learn about programming best

practices and ML engineering for large-scale training and fine-tuning.

● Familiarity with state-of-the-art machine learning architectures, with an interest in

“opening the black box” and learn low-level details of machine learning methodology

● Hands-on experience implementing custom models with a deep learning framework

(PyTorch, Jax, ...)

Our company embraces remote work. We follow the guidelines below:

● You should be able to attend retreats and events in the Paris office (around once a

quarter)

● Remote applicants are expected to have at least a 5-hour overlap with the team in Paris,

for example remote in other EEA countries

● Since we also value in-person work and collaboration, all things being otherwise equal,

we will prefer candidates that can connect on a regular basis with the team in Paris