Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. With more than $75M in funding, Bioptimus is a fast-growing start-up headquartered in Paris, incorporated in October 2023. Backed by leading international venture capitalists, our world-class team of scientists and engineers is redefining the frontiers of AI and life sciences.
About the role
We are looking for a meticulous and detail-oriented Biology Data Quality Engineer to ensure the integrity and usability of the various and complex datasets that are central to our mission. In this critical role, you'll leverage your expertise in biology, data science, and machine learning to ensure the quality and consistency of biological data used to train and evaluate our foundation models. You'll work in collaboration with the R&D team and our engineers, using your skills to ensure our data meets the highest standards.
What you'll be doing
As a Biology Data Quality Engineer, you will own the following tasks:
What you'll bring
The successful candidate will have a ‘team-first’ kind of attitude; be independent, curious, and detail-oriented; thrive in a dynamic, fast-paced environment; and be fun to work with. We value individuals who bring strong domain expertise in biology alongside strong computational, hands-on skills.
- Omics Data Expertise.
Deep understanding of transcriptomics data types (bulk, single-cell, spatial) and their specific quality considerations. Good knowledge of genomics and proteomics data.
- Data Quality Management
: Proven experience in implementing data quality control procedures and pipelines. Familiarity with data validation tools and techniques.
How to stand out:
- Computational Pathology Data Expertise
: Experience in machine learning analysis of histology images.
- Cloud expertise
: Experience working with AWS.
- Data Annotation Experience
: Experience with developing and implementing data annotation guidelines and processes. Experience with data ontologies.
- Proven experience building or contributing to large-scale data collections (e.g. Human Cell Atlas).
- Spatial alignment of multimodal datasets (e.g. alignment between different imaging modalities)
The candidate journey
To be considered,
please submit your CV in English
. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:
Why This is a Unique Opportunity
You will:
- Be part of a trailblazing team working at the intersection of AI, biotech, and biomedical research.
- Take on a high-impact leadership role, shaping the future of biomedical AI through strategic data partnerships.
- Work in a collaborative, innovation-driven environment with top researchers and industry experts.
And benefit from:
- A collaborative and mission-driven work environment.
- Competitive salary and equity package.
- Flexible work arrangements, including remote options.
- Opportunities for professional growth and leadership development.
- Shape the future of biology and AI by contributing to groundbreaking work.
We believe that the unique contributions of all Bioptimists create our success. To ensure that our culture continues to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, or disability status. Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates. We take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome.
