Azenta Life Sciences

Account Manager, Northeast - Multiomics

Remote - US, USA

Sponsorship not specified$98k-$117kDetected 91 days ago

SalesforceCRMSalesAccount ManagementNegotiationAccountingCustomer SupportBioinformaticsMolecular BiologyNGSCommunicationCollaborationMicrosoft Office

About the role

Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.

Deliver impactful outcomes by leveraging a deep understanding and experience in navigating typical workflows within drug discovery, drug development, gene-to-antibody, and proteomics.
Proficient in closing sales deals through a strategic approach, coupled with strong skills in effective account management to nurture and maintain long-term client relationships, ultimately driving business growth and retention.
Effectively manage and maintain customer and account information, along with a clean, organized sales opportunities pipeline, tasks, and collaborative efforts within our CRM system.
Collaborate extensively within a dynamic team environment to deliver customer-centric value, driving revenue growth.
Foster cross-functional partnerships with teams such as Marketing, Product Development, Customer Service, Regional Sales Specialists, Technical Support, and Product Management.
Ensure seamless resource collaboration to align strategies, execute sales initiatives, devise marketing plans, organize local vendor shows, implement campaigns, and effectively address customer needs.

3+ years of relevant Genomics or Synthetic Biology experience in a commercial role with a proven track record of success in account management, exceeding targets and driving revenue growth.
Strong understanding of the Genomics industry challenges is needed and ability to develop high level of applications knowledge based on industry and segment focus (Pharma, Biotech, Government Agencies and Academia).
Familiarity with most common Sequencing, Synthetic Biology, cell and gene therapies, and molecular biology lab techniques.
Experience working in a team environment.
Proven track record of collaborating seamlessly with key stakeholders across internal and external organizations.
Proficiency in computer skills, including a strong command of commonly used Microsoft Office applications, ensuring efficient and effective utilization of technology in daily tasks and responsibilities.
Must have a valid driver's license.

At Azenta, new ideas, new technologies and new ways of thinking are driving our future.
All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity
Account Manager, Northeast - Multiomics
Company Overview
At GENEWIZ by Azenta, new ideas, new technologies and new ways of thinking are driving our future.
How You Will Add Value

$98,000.00 - $117,000.00
The posted pay range for this position is an estimate based on current market data and internal pay structure.
Final compensation may vary above or below this range depending on factors such as experience, education (including licensure and certifications), qualifications, performance, and geographic location, among other relevant business or organizational needs.
Consistently exceed quarterly and annual sales targets and quotas by proactively building and managing a robust sales pipeline. Drive growth by acquiring new customers / new accounts and expanding market penetration within existing accounts.

Minimum required education: Bachelor's Degree in a Life Sciences field.
If any applicant is unable to complete an application or respond to a job opening because of a disability, please email at Recruiting@azenta.com for assistance.
This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status.

Innovate and develop unique products and services tailored to address the specific needs of our customers.

This listing is sourced directly from Azenta Life Sciences's careers page and normalized into a canonical job model.