Clinical Data Manager (Senior)

1 hour, 26 minutes ago
Full-time
Senior
Data Science and Analytics
Bioptimus

Bioptimus

Bioptimus is a Paris-based biotech startup founded in 2024 that focuses on developing AI foundation models for biology. The company aims to create a universal model that integrates data from molecules to organisms, facilitating advancements in biomedicine and environmental science. Bioptimus has secured a total of $76 million in funding, with significant contributions from Sofinnova Partners and other investors. The company offers key products such as H-Optimus-1, a leading foundation model for histology, and M-Optimus, the first universal AI foundation model for biology. These models are designed to transform biological data into useful representations for research, contributing to nearly 1 million downloads and around 100 scientific publications annually. Bioptimus collaborates with institutions like MIT and Owkin to enhance its data access and model integration, positioning itself as a leader in life sciences AI model development.

research
11-50
Founded 2024
$76M raised

Description

  • Serve as the technical interface with external partners such as hospitals, research institutions, CROs, and CMOs to understand clinical data capture, storage, and extraction processes.
  • Translate ambiguous and heterogeneous source data into harmonized, AI-ready datasets.
  • Map clinical data to standard biomedical ontologies such as SNOMED and ICD, with emphasis on oncology and immunology data.
  • Design, build, and maintain data dictionaries, schemas, and metadata models for STELA’s multimodal pipeline.
  • Establish, automate, and enforce data quality control and validation frameworks for incoming partner data.
  • Write production-grade Python code to automate data cleaning, validation, and harmonization workflows.
  • Audit incoming datasets to identify missing variables, anomalies, hidden biases, and other data issues.
  • Align with partners on data delivery formats and technical requirements.
  • Collaborate with engineers and senior leadership on data strategy and long-term technical alignment.

Requirements

  • Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Health Informatics, Computer Science, Statistics, or a related quantitative field, or equivalent practical industry experience.
  • 3–5+ years of hands-on experience in clinical data management or clinical data engineering within a CRO, CMO, pharma, or biotech environment.
  • Strong proficiency in Python and data science libraries such as Pandas and NumPy.
  • Experience with Git version control and building reproducible, reusable data pipelines.
  • Familiarity with clinical data structures, electronic health records (EHR), case report forms (CRFs), and longitudinal clinical trial data.
  • Knowledge of clinical and biological ontologies, especially for cancer/oncology and/or immunology datasets.
  • Ability to communicate clearly and align with partner clinical teams on data delivery formats.
  • Comfort working in a fast-paced startup environment where schemas and ingest requirements evolve.
  • Experience with cloud computing platforms such as AWS or GCP, preferred.
  • Experience working with multimodal datasets, such as clinical records paired with omics or digital pathology imaging, preferred.
  • Understanding of CDISC standards such as SDTM/ADaM, preferred.
  • Experience building or optimizing ETL pipelines for large-scale biobanks or multinational clinical consortia, preferred.
  • Please submit a CV in English.

Benefits

  • Remote work outside Paris is available.
  • Competitive compensation.
  • Equity participation.
  • Flexible work options.
  • Opportunity to work on a mission-driven, high-impact program at an early-stage company.
  • Collaborative, high-autonomy environment.
  • Opportunity to contribute to pioneering research, infrastructure, or strategy from the ground floor.

Interested in this position?

Apply directly on the company website

Apply Now

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