Senior Clinical Data Manager

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Bioptimus

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

🧬 Biotechnology

☁️ SaaS

💰 $41M Series A - Bioptimus on 2025-01

Artificial Intelligence • Biotechnology • SaaS

Bioptimus is a company that builds foundation AI models for biology, integrating multimodal and multiscale biological data to break down data silos and accelerate biomedical research and clinical decision‑making. Its flagship models include H‑Optimus‑1 for histology/digital pathology and M‑Optimus as a universal biology model; the company partners with research institutions, clinical practices, and industry to train and deploy models securely at scale. Founded in Paris in 2024, Bioptimus focuses on applying AI to problems across biomedical research, clinical workflows, and life‑science R&D while emphasizing data quality, security, and scientific validation.

📋 Description

• Operate at the intersection of data engineering, clinical science, and partner collaboration • Participate directly in technical conversations with external partners (hospitals, research institutions, CROs/CMOs) • Translate ambiguous source data into harmonized, AI-ready assets • Map and align diverse clinical data to industry-standard biomedical ontologies with an emphasis on clinical oncology and immunology data • Design, build, and maintain data dictionaries, schemas, and metadata models • Establish, automate, and enforce data quality control (QC) and validation frameworks • Write production-grade Python code to automate data cleaning and harmonization tasks • Understand how clinical data is generated in real-world settings • Actively audit data to find missing variables, anomalies, and hidden biases • Recognize important data in clinical trials related to oncology/immunology

🎯 Requirements

• Educational Background: Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Health Informatics, Computer Science, Statistics, or a related quantitative field • Industry Experience: A few years (typically 3–5+) of hands-on experience in clinical data management or clinical data engineering within a CRO, CMO, pharma, or biotech environment • Hands-on Coding Skills: High proficiency in Python and standard data science libraries (e.g., Pandas, NumPy) • Software Best Practices: Demonstrated commitment to code reproducibility, including experience with Git version control and building reusable data pipelines • Clinical Data Expertise: Familiarity with clinical data structures, electronic health records (EHR), case report forms (CRFs), and longitudinal clinical trial data • Ontologies & Vocabularies: Knowledge of standard clinical and biological ontologies, specifically tailored to cancer/oncology and/or immunology datasets • Communication & Alignment: Ability to align on data delivery formats with partner clinical teams • Start-up experience: Comfort working in a fast-paced startup environment where data schemas evolve and ingest requirements must be defined from scratch.

🏖️ Benefits

• Competitive compensation • Equity • Flexibility (remote options)