This role is part of Rippling's EOR (Employer of Record) services in Switzerland; the employee hired will provide services to a Rippling EOR customer.
About Rippling EOR:
Rippling EOR allows its customers to hire and onboard global employees, including in Switzerland where it is a licensed staff leasing company. Rippling EOR is the employer of record, handling all employment-related matters from benefits enrollment to providing locally compliant employment documents. Rippling EOR’s customers are responsible for the day-to-day supervision of the EOR employee.
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, a company can manage and automate every part of the employee lifecycle in a single system.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.
About the Role:
You will be employed by Rippling Switzerland Gmb H (“Rippling EOR”), a staff leasing company, and leased to a Rippling EOR customer, where you will have the role of (Senior) Data or Research Scientist. 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 Ph D 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, Neur IPS, 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 (Py Torch, 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
Job Type: 100%
Work Location: Remote
Expected Start Date: 01/12/2024