If you enjoy making sense of large data sets or have a passion for the latest generation of scientific platforms this is an excellent opportunity for you!
Our client partner has developed an Enterprise-class cloud solution for modern global R&D organizations that enables modernization of R&D workflows, greater data visualization tools, and adds predictive capabilities for end-users due to their patented machine learning algorithms. With offices in the US and Germany, they are now looking to expand their implementation team.
Overview:
This role is open to those who are keen to develop a career in lab digitization as well as individuals with direct experience in the implementation of scientific R&D platforms. Once you have undergone the necessary training and development you will be responsible for;
- Leading the platform implementation.
- Restructuring & contextualizing scientific customer data.
- Assist in new business development through demo’s and championing the product.
- Help drive product development through customer experience so help build the best data structuring tool for R&D.
Qualifications/Experience required:
- Scientific Degree qualification subject such as biology, biotechnology, chemical engineering, chemistry or related subject
- Experience of structuring/ manipulating data in Excel (Python or other coding skills are beneficial)
- Experience of working in the battery industry advantageous.
- Ability to travel to customer sites (approx. twice per month)
- Strong customer facing and communication skills.
Location:
New York. Hybrid role.