Customer Success Engineer, Bioinformatics

Posted 14 Hours Ago
Be an Early Applicant
Cambridge, MA
Junior
Cloud • Information Technology • Biotech
The Role
The Customer Success Engineer at Watershed supports customers in using the biocomputing platform by resolving technical issues, analyzing usage data, and creating documentation. They work alongside the Product Manager and Head of Operations to ensure customer satisfaction and improve service efficiency.
Summary Generated by Built In

About Watershed 

Our vision is to become the leading biocomputing platform. The future of biology is in big data analysis, and we are on a mission to accelerate digital drug discovery with the Watershed platform. Watershed enables scientists to conduct all essential analysis — from lab data to plot — with a single software platform. 

We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are growing! Join a team that’s intellectually curious with a bias for action, headquartered in Cambridge, Massachusetts, composed of people who have come together to enable outcomes while empowering the research of all those committed to changing lives — all while bringing transformational change to a $40 billion industry. 

About the Role 

Customer Success Engineers work at the intersection of software engineering, bioinformatics, and customer success to understand and fulfill customer support needs. 

Customers choose Watershed to analyze and share large biological data sources in flexible, powerful computing environments. Customers will engage you as a first escalation point — you will draw on a knowledge of Linux systems, software engineering, and bioinformatics to unpack and resolve requests.

You will track down support requests across the platform, partnering with our Product Manager and Head of Operations. Expect variety in the complexity and kinds of technology and bioinformatics challenges you face. As you troubleshoot recurring issues, you will document and elevate common requests and fixes to improve future support.

Responsibilities 

  • Develop an intimate understanding of how customers use the Watershed platform.
  • Analyze and share data on customer usage, activity, and trends. Suggest upsell opportunities and advise on account-specific insights.
  • Triage, manage, and resolve incoming customer support requests. Requests will vary in complexity from Level 1 support to interrelated Linux, software, and bioinformatics issues.
  • Establish and uphold company support standards. Create resolution metrics and expand support programs as needed. 
  • Create & manage a system for documenting solutions and workarounds for recurring requests so team members can resolve similar issues quickly.
  • Write platform guides and FAQs to support new feature rollouts. Develop case studies detailing tailored customer solutions.
  • Directly report to the Head of Operations & CEO. Escalate key support insights (i.e., ‘buggy functions’ or common user misunderstandings). 
  • Ensure an excellent user experience on the Watershed platform

Qualifications 

  • 1-3 years of professional experience supporting technical and non-technical customers as a bioinformatician. Experience working in a bioinformatics consultancy is strongly preferred
  • A working understanding of Linux commands, system troubleshooting, and Docker.
  • Proficiency with any one of Bash, Python, or R. Familiarity with all three is preferred.
  • Familiarity with bioinformatics, computational biology, or a Masters in Bioinformatics is preferred


Top Skills

Bash
Python
R
The Company
HQ: Cambridge, MA
15 Employees
On-site Workplace

What We Do

Watershed Informatics is the first end-to-end bio-IT managed service provider. Our Cloud Data Lab enables life sciences organizations of any size to perform mission-critical bioinformatics analyses (such as bulk, single-cell, and spatial transcriptomics; ATAC-Seq; proteomics, etc.) at an order of magnitude less cost and complexity than existing solutions.

The Cloud Data Lab provides reliable, secure, scalable, and accessible storage, computation, and analysis tools specifically optimized for catalyzing the life sciences development pipeline.

Our approach enables biologists to analyze their own -omics data and bioinformaticians to rapidly prototype and deploy bespoke analytic workflows across an organization.

Our clients, including Revitope Oncology, SQZ Biotech, and Rarebase rave about our platform, and we'd love the opportunity to enable your organization's analyses as well.
Please reach out to [email protected] for more information and a live demo.

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