Level

Uncountable

Scientific & Regulatory Product Specialist

AI in this role

Mission

Ensure Uncountable’s regulatory, environmental, and chemistry data provides a trusted baseline for intelligence across the platform, by shaping how third-party ingredient data is sourced, interpreted, and productized.

Key Responsibilities

  • Work with Uncountable's engineering team to synthesize data from external regulatory, environmental, and chemistry data providers into actionable information for its end product

  • Evaluate, onboard, and manage ingredient and regulatory databases

  • Translate regulatory requirements into clear data models, rules, and customer-facing workflows

  • Ensure data accuracy, traceability, and regulatory relevance over time

  • Serve as the internal expert on regulatory data across Product, Engineering, and Customer teams

Required Background

  • Regulatory affairs experience in chemicals, food, cosmetics, materials, or life sciences

  • Hands-on experience authoring Safety Data Sheets (SDSs) in the US and/or EU

  • Familiarity with ingredient and regulatory databases

  • Strong ability to operationalize regulatory knowledge within software products

Why This Role Matters

This role ensures Uncountable’s intelligence layer is built on credible, defensible regulatory data, enabling customers to make compliant and informed decisions with confidence. Providing scientists with critical, up-to-date context helps them develop new products faster.

Location:

  • This role can be either remote in one of our 4 office locations (SF, NY, London, Munich)

How we score this

Scientific & Regulatory Product Specialist at Uncountable scores 38 out of 100 for how much of the daily work is AI. That makes it AI Level 1 of 4 (Little AI). The level is about AI in the job, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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