Platform Implementation Scientist

Uncountable

San Francisco, Cleveland, New York (CA, OH, NY)

On-site

USD 70,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Competitive base salary with performance bonus and equity
Health and dental insurance
401(k) with employer contribution
Direct mentorship from experienced managers

Job summary

Uncountable in San Francisco is seeking a Scientific Implementation Associate to work on R&D implementations for industrial customers. This role blends science with software, allowing you to maintain your scientific background while engaging in impactful technical work.

You will configure customer data for the Uncountable platform, collaborate with scientists on their workflows, and evolve into leading implementations. The ideal candidate has a scientific degree and a strong comfort level with data and software.

Join a dynamic team dedicated to accelerating R&D in multiple scientific domains!

Qualifications

  • A B.S. or higher in a relevant scientific field or 1+ years of relevant experience.
  • Comfort with data manipulation in Excel; Python scripting skills are a plus.
  • Experience with scientific software; quick to learn new tools.

Responsibilities

  • Support onboarding and configuration of customers' workflows.
  • Design and configure scientific workflows on the Uncountable platform.
  • Engage with customers to understand needs and propose solutions.

Skills

Scientific background
Data fluency
Software fluency
Communication skills
Empathy and adaptability
Curiosity

Education

B.S. or higher in chemistry, materials science, biology, or related field

Tools

Excel
Python

Job description

Uncountable in San Francisco is seeking a Scientific Implementation Associate to work on R&D implementations for industrial customers. This role blends science with software, allowing you to maintain your scientific background while engaging in impactful technical work.

You will configure customer data for the Uncountable platform, collaborate with scientists on their workflows, and evolve into leading implementations. The ideal candidate has a scientific degree and a strong comfort level with data and software.

Join a dynamic team dedicated to accelerating R&D in multiple scientific domains!

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