Bioptimus
Clinical Data Manager (Senior)
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Clinical Data Manager (Senior)
Clinical Data Manager (Senior)
Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. With over $75M in funding, our fast-growing startup—headquartered in Paris since October 2023—comprises a world-class team of scientists and engineers redefining AI’s frontiers in life sciences.
This is a remote role. While Bioptimus is headquartered in Paris, the position allows flexible performance outside the region.
About the Role
As the Clinical Data Manager (Senior) at Bioptimus, you will bridge the gap between unstructured, real-world data and our frontier AI models. This role requires expertise in clinical data structures to serve as the technical liaison during interactions with global partners, standardizing and harmonising data pipelines.
Operating within our STELA program (Spatial Tissue Embedding Learning Atlas), you will structure clinical datasets. Your responsibilities include writing reproducible code, enforcing incoming data quality checks, and designing data dictionaries and ontologies tailored to our models.
About the STELA Program
The Spatial Tissue Embedding Learning Atlas is a global software adoption initiative formed in partnership with 10x Genomics and Broad Clinical Labs. Our goal is to generate multicontinental spatial data, profiling up to 100,000 patient specimens across Asia, Europe, and the United States.
STELA integrates high-resolution spatial transcriptomics, histopathology imaging, and longitudinal clinical records, paving the way for the next era of biological AI and precision medicine.
Key Responsibilities
1. Partner Data Engineering & Collaboration
- Technical Partner Interface: Engage directly with external partners (hospitals, research institutions, CROs/CMOs) to dissect clinical data structures, examining data capture, storage, and extraction processes.
- Ontology Mapping: Align clinical data to standardised biomedical ontologies (e.g., SNOMED, ICD) with a focus on oncology and immunology.
- Translating Uncertainty: Convert ambiguous or inconsistent source data into a harmonized, AI-ready format.
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2. Data Governance, Quality, and Automation
- Data Dictionary Design: Construct and maintain robust data dictionaries and metadata models, ensuring compatibility with STELA’s multimodal pipeline and existing infrastructure.
- Data QC Automation: Implement frameworks for ingest validation, ensuring incoming data is complete, consistent, and программноertonally sound.
- Automated Workflows: Develop production-quality Python code, with a focus on ETL, data cleaning, and harmonization*, leveraging standard libraries like Pandas, NumPy.
3. Ontology and Clinical Insight
- Clinical Reality: Gained experience in real-world data generation, identifying gaps between ideal protocols and messy clinical workflows.
- Data Auditing: Proactively seek missing variables, anomalies, and hidden biases in incoming datasets.
- Domain Knowledge: Familiarity with oncology/immunology metrics, including RECIST criteria, TNM staging, and longitudinal treatment pathways (e.g., immunotherapy vs. chemotherapy).
What You Bring to the Table
Must-Have Qualifications
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Attitude: A collaborative mindset, independence, curiosity, and an eye for detail. Thrives in dynamic, high-speed environments and loves lifting raw technology problems.
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Code Expertise:
- Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Health Informatics, CS, or a related quantitative field (or equivalent prior experience).
- 3–5+ years experience in clinical data management/engineering from a CRO, CMO, pharma, or biotech background.
- Hands-on proficiency in Python, data cleaning, and standard libraries.
- Self-determination to write production-ready, Git-managed code.
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Clinical Data Domain Knowledge:
- Background in EHRs, CRFs, and clinical trial data structures.
- Knowledge of ICD-10, SDTM/ADAM, SNOMED or other healthcare vocabularies.
Nice-to-Have
- Cloud-native expertise (AWS, GCP, Azure) and experience in platform engineering.
- Experience with ETL pipelines and multicontinental biorepositories.
- Prior exposure to multimodal datasets (clinical records + omics/imaging trace data).
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Startup & Collaboration Fit
- Execute in ambiguity: Adaptable in fast-paced environments where data needs rapidly evolve.
- Communication: Fluid collaboration with non-technical clinical partners and leadership teams.
How To Stand Out
Showcase experiences in: ☑ ETL optimisation in healthcare or biobanks* (large-scale ingestion pipelines). ☑ Open-source biomedical tools or hybrid cloud implementations. ☑ Open science/innovation efforts (genomics, federated learning).
The Path Forward
We assess candidates through a simple, transparent interview pipeline:
- Screening Call (30 min) – Lined up with Hiring Manager, focusing on role fit.
- Data Strategy Presentation (45 min) – Pitch a challenging data management solution (e.g., designing a complex data dictionary).
- Technical DeepDive (20–30 min) – Collaborative experience session with an Bioptimus data engineering lead.
- Executive Interview (30 min) – Partners with founders/C-suite, addressing vision, culture, and long-term potential.
Why Choose Bioptimus?
✔ Cutting-Edge Mission: Work at the convergence of AI and biomedical discovery. ✔ High Autonomy: Balanced vision and hands-on execution in a flat organisation. ✅ Impactful Work: Build foundational infrastructure at stage 1. ✔ Competitive Compensation & Equity ✔ Flexibility to Scale: Remote options and parental leave policies. ✔ Inclusivity: Culture built on diversity of thought. Equal opportunity and proactive effort for disability accommodated sl ). We require a good match with Bioptimus highlighting transparency.
About Bioptimus
View bioptimus on LinkedIn or about our work at bioptimus Notably.com to explore our vision. Prospective candidates will liaise directly with the Global Science Affairs Lead, Dr. Rouven Dem并在Curuba, starting immediately with a video interview and optional reference check. Apply today at jobs@bioptimus.com —we encourage open dialogue.
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