Clinical Data Operations Manager

About Immunai:

Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system.

We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process.

Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We’re building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business.

Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the role:

We are looking for a Clinical Data Operations Manager to own the end-to-end process of bringing clinical data into our data platform.

The clinical data operations manager will be responsible for ensuring that clinical data received is properly understood, structured, harmonized, quality-controlled, and ingested into our database in a way that supports downstream scientific, clinical, and computational use cases, and is aligned with all regulatory and contractual requirements.

The ideal candidate has hands-on experience working with clinical trial data, clinical databases, and data harmonization processes, combined with strong technical curiosity and practical experience using AI tools to improve workflows, increase efficiency, and scale operational processes.

Location: Ramat Gan, Israel or Prague, Czech Republic - Hybrid model

What will you do?

• Help defining data needs for each project
• Own the ingestion process for clinical data received from initial data review through database integration.
• Work closely with partners to understand available data, data structure, terminology, documentation, and gaps.
• Translate clinical trial data into structured, standardized, and usable data formats for internal systems.
• Ensure data quality, consistency, completeness, traceability, accesability and compliance across projects and collaborations.
• Partner with data, R&D, product, and engineering teams to define ingestion requirements and improve internal workflows.
• Identify opportunities to automate and streamline data review, mapping, harmonization, and QC processes using AI tools and other technical solutions.
• Support the development of scalable standards, templates, SOPs, and best practices for clinical data ingestion.
• Troubleshoot data issues, resolve inconsistencies, and support continuous improvement of the clinical data platform.
• Serve as a key bridge between clinical/scientific stakeholders and technical/data teams.

Required qualifications:

• Prior experience working with clinical trials metadata, clinical datasets, or patient-level clinical information.
• Strong understanding of clinical trial structure, including indications, cohorts, arms, timepoints, treatments, response, safety, and clinical outcomes.
• Experience working with databases, structured data, data dictionaries, ontologies, metadata schemas, or data harmonization workflows.
• Familiarity with relevant regulations and quality standards.
• Comfortable working with cross-functional teams, including clinical, scientific, data, product, and engineering stakeholders.
• Tech-savvy mindset with the ability to learn and use new tools quickly.
• Practical experience using AI tools to improve workflows, automate repetitive tasks, support data review, or increase operational efficiency.
• Strong attention to detail, structured thinking, and ability to manage complex information from multiple sources.
• Excellent communication skills and ability to translate between clinical concepts and technical implementation needs.

Preferred qualifications:

• Experience with clinical data standards such as CDISC, SDTM, OMOP, or related clinical ontologies.
• Experience with SQL, Python, R, or other data manipulation tools.
• Experience working in biotech, pharma, clinical research, or computational biology environments.
• Familiarity with real-world data, translational research datasets, omics data, or multi-modal clinical data.
• Experience building or improving data ingestion pipelines, data models, or data platforms.

Desired personal traits:

• You want to make an impact on humankind
• You prioritize “We” over “I”
• You enjoy getting things done and striving for excellence
• You collaborate effectively with people of diverse backgrounds and cultures
• You have a growth mindset
• You are candid, authentic, and transparent

When you apply for a role at Immunai, we process your personal data (such as CV, contact details, and professional background) to assess your suitability for current and future roles. Your information may be shared internally with relevant employees and stored or processed by trusted service providers, some of whom may be located outside your country of residence. You can read more about how we process data here: https://www.immunai.com/privacy-policy/.