Data Quality Analyst - Pharma

About the Position

Data Quality Analyst - Pharma

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About Cala

AI is about to do a real share of the world's work. Whether we can trust it comes down to one thing: what it knows.

Cala is building the knowledge layer for that future. We're turning everything publicly known about the world (every company, person, filing and regulation, and every connection between them) into a single graph of verified facts that any agent can query. What Bloomberg and LexisNexis became for human professionals, Cala is becoming for AI: built with agents, for agents, at a scale no team of people could ever reach.

We raised a €7M pre-seed led by Lightspeed, launched in June, and global enterprises already run on Cala in production. We're based in Barcelona and San Francisco, and still small enough that everyone who joins now helps define what Cala becomes.

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About the Role 💡

At Cala, we turn public data into a verified knowledge graph that developers and AI agents use every day. For this to work, the data must be right.

You'll be our pharma expert inside the data team. Your main job is to review and validate pharmaceutical and biomedical data before it reaches our users: checking that drugs, companies, clinical trials and their relationships are correct and match the original sources. You will also help us measure the quality of our data and our AI systems, so we know how good they are and where to improve. This is not an engineering role. We need your domain knowledge, your eye for detail and your judgment in cases where the answer is not obvious.

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Responsibilities 🛠️

• Review and validate entities and relationships extracted from public sources (clinical trial registries, regulatory approvals, drug labels, scientific publications, company pipelines)
• Verify drug information: active ingredients, indications, mechanisms of action, approval status and dates
• Check clinical trial data: phases, sponsors, conditions, interventions and results
• Validate relationships between drugs, companies, targets and diseases (e.g. who develops or licenses a drug, which indication it is approved for)
• Flag errors, inconsistencies and ambiguous cases, and document how they should be resolved
• Build and maintain reference datasets ("golden sets") of verified pharma data, used to test our data pipelines and AI agents
• Run regular quality evaluations: review data samples, measure accuracy and coverage, and track how quality changes over time
• Evaluate answers from AI agents to pharma and biomedical questions, to check they are correct, complete and supported by the right sources
• Find patterns in the errors and help the team fix them at the root, not only case by case
• Help define and improve the validation guidelines and quality metrics for pharma data
• Give feedback to the Data and Engineering teams on how pharma and biomedical concepts are represented in the knowledge graph
• Contribute to a culture of accuracy, rigor and high-quality data

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Requirements 🔎

Strong background in:

• Pharma or life sciences (pharmacy, pharmacology, biomedicine, biotechnology, regulatory affairs, medical writing or similar)

Knowledge and tools:

• Drug development process and clinical trial phases
• Regulatory frameworks and approval processes (FDA, EMA)
• Working with sources like ClinicalTrials.gov, EU CTR, FDA and EMA databases, drug labels or PubMed
• Comfortable working with spreadsheets and structured data (basic SQL is a plus, but not required)

Profile:

• 2+ years of experience in a pharma, biotech or life sciences role
• Very detail-oriented: you notice when something doesn't add up
• Able to explain your reasoning: why a data point is right or wrong, and which source supports it
• Able to keep high quality in careful, repetitive work
• Curious about AI and how data powers it
• Comfortable in a fast-moving startup environment
• C1+ level in English (most of our sources are in English)

Even better if:

• Familiarity with medical and drug terminologies or coding systems (MeSH, ATC, ICD, etc.)
• Experience with data quality, data curation or evaluating AI outputs

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Why Cala? ✨

• Work alongside founders with a proven track record in AI and startups
• Build foundational AI systems with an "AI for good" focus
• High ownership, high autonomy, real technical challenges
• Join at an early stage and help shape both technology and culture
• A supportive, inclusive, and horizontal team environment

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Locations:

• Barcelona, Spain
• San Francisco, United States

Employment Type: Full-time

Experience Level: Middle

Experience Required: 2+ years of experience in a pharma, biotech or life sciences role

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Apply

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