About the role:

As a Data Scientist at Bioptimus, 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 Data Scientist:

As an expert 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 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 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
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

Apply for this Job

* Required

First Name *

Last Name *

Email *

Phone

Resume/CV *

Google Drive

(File types: pdf, doc, docx, txt, rtf)

*** Machine learning and software engineering skills *** (candidates will be expected to demonstrate and justify their self-assessments during the interview process)

(If available) Please share your Google Scholar URL.

(If available) Please share the URLs of two papers you are particularly proud of. Use || to separate the two URLs.

(If available) Please share the URLs of two GitHub pull requests you are particularly proud of. Use || to separate the two URLs.

What amount of experience do you have with GPUs? *

What amount of experience do you have with parallel training? *

What amount of experience do you have with large ML model optimisation? *

What scale of model have you pre-trained? *

What scale of model have you fine-tuned? *

What training dataset scale have you worked with? *

What is your experience with multi-modal models? *

What is your experience with the evaluation and interpretability of models? *

What is your experience with dataset curation? *

*** Biology skills *** *

What is your level of expertise in biology?

How familiar are you with proteomics? *

How familiar are you with single-cell omics? *

How familiar are you with histology? *

How familiar are you with genomics? *

*** Educational and professional background ***

(If available) Please share your LinkedIn URL.

What is your highest academic degree? *

Which academic institution awarded you this degree? *

How many years of academic and/or industrial experience do you have following this degree? *

When would you be able to start? *

Which location would you want to work from? *

Are you legally authorized to work from that location? *

Please select the type of ID you will use to confirm your eligibility to be an employee in the country of your application.

We might contact you regarding your eligibility to work prior to moving to the next stage in your application.

(If applicable) When does your legal authorization to work from that location expire? *

Please provide the end date of your ID which you will use to prove your eligibility to work in the country you are applying (I.E passport, visa)

If you require accommodations in completing your application, interviewing, completing any pre-employment testing, or otherwise participating in the selection process, you may choose to disclose this here:

Our system has flagged this application as potentially being associated with bot traffic. Please turn off any VPNs, clear your browser cache and cookies, or try submitting your application in a different browser. If this issue persists, please reach out to our support team via our help center.

Please complete the reCAPTCHA above.

Data Scientist- Computational Biology- Foundation Model

About the role:

What you will be doing as a Data Scientist:

Who we are looking for:

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

Apply for this Job