Mots-Clés
AI start-up
drug R&D
immunology
scRNA-seq
Python
Description
COMPANY OVERVIEW
Scienta Lab is a deeptech company harnessing artificial intelligence to transform the drug discovery and development process in immunology and inflammation.
Scienta Lab develops a foundation model for immune-mediated inflammatory diseases leveraging multimodal data to support translational research.
Scienta Lab is partnering with top-tier academic research institutions, biotechs, and pharmaceutical companies worldwide to develop its model. The company has a proven scientific track record in precision medicine for immunology with scientific publications in top-tier medical journals and conferences.
Scienta Lab is based in Biolabs Hôtel-Dieu. Join us and be a part of our exciting journey to advance medical research in precision immunology!
JOB DESCRIPTION
Scienta Lab is seeking a skilled and motivated individual to build and enhance our data stack. As a Biomedical Data Engineer, you will play a critical role in sourcing, storing, documenting, and providing access to multimodal datasets related to immune-mediated inflammatory diseases (IMIDs). Your mission will include developing technical solutions to ensure the quality, accessibility, and usability of multimodal datasets, empowering various teams within the company to drive impactful research and innovation.
You will join the Biomedical Team and report directly to the Chief Scientific Officer (CSO).
Main Missions:
- Data sourcing: identify public datasets in immuno-inflammation - including clinical and molecular data – and develop technical solutions to automate the collection and integration of datasets.
- Data processing: design, develop, and maintain robust bioinformatic pipelines to automate the curation, cleaning, and preparation of Scienta Lab data portfolio. Ensure the integrity and reliability of processed data for downstream analysis.
- Data annotation: implement and maintain high-quality annotations for datasets, ensuring they are comprehensive, accurate, and aligned with internal standards.
- Data documentation: Manage and maintain clear and detailed documentation for all datasets, including metadata, provenance, and usage guidelines. Ensure that documentation adheres to industry best practices and facilitates reproducibility.
- Data visualization: Create visualizations and conduct feasibility studies to evaluate datasets and support business decisions. Provide intuitive dashboards or tools to explore the datasets and get actionable insights.
- Coding Collaboration: You will work closely with the technical team to support their efforts in modeling data, fostering good practices in software engineering, and ensuring seamless integration of datasets into analytical workflows.
- Collaboration: work closely with business, scientific, and data science teams to ensure datasets are readily accessible, well-documented, and meet quality standards. Act as a point of contact for dataset-related inquiries and technical support.
Who we are looking for:
- Experience: 4+ years of experience in computer science, bioinformatics, computational biology, or a related field.
- Data Expertise: strong understanding of omics datasets (e.g., transcriptomics, proteomics) and clinical data structures.
- Data Interpretation: proven ability to create effective data visualizations and analyze complex datasets.
- Technical Skills:
- Proficiency with bioinformatics tools, libraries, and databases relevant to omics data analysis (e.g., Bioconductor, NCBI databases).
- Hands-on experience developing and optimizing bioinformatic pipelines using workflow management systems (e.g., Snakemake, Nextflow).
- Strong coding skills in Python, with a solid understanding of programming best practices.
- Language Skills: Full professional proficiency in English.
How to stand out:
- Teamwork: demonstrated ability to collaborate effectively with biologists, researchers, and software engineers in a multidisciplinary environment.
- Problem-Solving: a solution-oriented mindset and a strong sense of service to meet project and team needs.
- Domain Knowledge: familiarity with immunology or immune-mediated diseases is a valuable asset.
WHAT WE OFFER
- Competitive salary and benefits package
- Hybrid work culture with remote work policy
- Dynamic and enriching work environment
- Office at Biolabs Hôtel-Dieu – 1 parvis Notre-Dame 75004 Paris
Learn more about us, Scienta Lab values and how we foster growth in our Culture Book.
CONTACT
If you are interested, please send your resume and a cover letter to Vincent Bouget (vincent.bouget@scientalab.com) and we will contact you back shortly.