Platform Implementation Scientist

Uncountable; San Francisco, Cleveland, New York (CA, OH, NY); Presencial; USD 70.000 - 90.000; Tempo integral

Benefícios oferecidos por esta vaga

Competitive base salary with performance bonus and equity

Health and dental insurance

401(k) with employer contribution

Direct mentorship from experienced managers

Resumo da vaga

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!

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Scientific background

Data fluency

Software fluency

Communication skills

Empathy and adaptability

Curiosity

Formação

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

Ferramentas

Excel

Python

Descrição da vaga

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!