Senior Clinical Data Manager

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Bioptimus

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

🤖 Artificial Intelligence

🧬 Biotechnology

⚕️ Healthcare Insurance

💰 $35M Seed Round on 2024-02

Artificial Intelligence • Biotechnology • Healthcare Insurance

Bioptimus is on a mission to build the first universal AI foundation model for biology, aimed at fueling breakthrough discoveries and accelerating innovations in biomedicine and beyond. The company seeks to transform the biological sciences through advanced artificial intelligence technologies.

📋 Description

• Bridge the gap between unstructured, real-world data, and AI models • Structure clinical datasets • Write reproducible code • Enforce incoming data quality control • Design data dictionaries and ontologies • Participate in technical conversations with external partners • Translate ambiguous source data into harmonized, AI-ready assets • Map diverse clinical data to industry-standard biomedical ontologies • Design, build, and maintain data dictionaries, schemas, and metadata models • Establish, automate, and enforce data quality control frameworks • Write production-grade Python code for data cleaning and harmonization • Audit data to find missing variables, anomalies, and hidden biases • Utilize clinical data progression metrics

🎯 Requirements

• Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Health Informatics, Computer Science, Statistics, or a related quantitative field • 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 • High proficiency in Python and standard data science libraries (e.g., Pandas, NumPy) • Demonstrated commitment to code reproducibility, including strong experience with Git version control and building reusable data pipelines • Familiarity with clinical data structures, electronic health records (EHR), case report forms (CRFs), and longitudinal clinical trial data • Knowledge of standard clinical and biological ontologies, specifically those tailored to cancer/oncology and/or immunology datasets • Ability to align on data delivery formats with a partner clinical teams • 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)