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Field Application Scientist - Post-Sales

About the Opportunity


We are seeking a customer-focused, enthusiastic Post-Sales Field Application Scientist to play a crucial role in our scaling efforts.  As a key member of our team, you will act as a technical and scientific expert, working closely with customers and cross-functional internal teams to ensure successful product implementation, optimization, and expansion. You will engage with researchers, data scientists, and clinicians to deliver tailored training, assist with product integrations, and provide technical support, all while focusing on customer satisfaction and product adoption and expansion. 


Environment


As a Post-Sales Field Application Scientist, you will work closely with Sales, Product, Engineering, Scientific Solutions, and Support as well as our customers and partners to drive product adoption and customer satisfaction.  We value self-motivated, creative individuals who excel in a collaborative environment and are driven by solving complex problems.  


This role will include up to 20% travel, including overnight trips to customer sites and conferences.


Flywheel offers a comprehensive benefits package and encourages a balanced work-life integration. 


Responsibilities
  • Work with customers and internal teams to ensure the successful implementation, usage, optimization and adoption of Flywheel products. 
  • Develop and deliver on-site and remote training (including workshops and learning labs) to customers tailored to their needs and product requirements. 
  • Design solutions that integrate with existing data ecosystems and assist customers with imaging data migrations and workflow optimization. 
  • Escalate unresolved issues to the appropriate internal teams and ensure timely follow-up with customers. 
  • Collaborate with sales and marketing teams to identify new opportunities for account expansion as well as support renewals/ upsells. 
  • Serve as a liaison between customers and internal teams, relaying feedback to inform product development. 
  • Maintain detailed records of customer interactions, issues, and resolutions. 
  • Generate reports summarizing customer feedback, support activities, and application insights. 
  • Comply with company policies, including security, confidentiality, and data protection requirements, to maintain a secure work environment. 


What would make you a great fit
  • Bachelor’s degree in a relevant field such as biomedical engineering, computer science, or a related discipline, particularly in Life Sciences; advanced degree (MS or PhD) preferred. 
  • 5+ years of experience in a customer-facing technical role, with proven success in post-sales support and customer engagement. 
  • Deep understanding of medical imaging and data workflows and standards, such as MRI, CT, or other medical imaging modalities. 
  • Experience with data management platforms, cloud-based solutions, and/or software for large-scale data analysis. 
  • Excellent communication and presentation skills, with the ability to articulate technical concepts to both technical and non-technical audiences 
  • Strong problem-solving skills and the ability to collaborate and influence across teams to resolve customer challenges. 
  • Familiarity with tools and languages such as Python, MATLAB, SQL, or other data scripting languages is a strong plus. 
  • Experience working in a regulated industry a plus. 


Average salary estimate

$105000 / YEARLY (est.)
min
max
$90000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Field Application Scientist - Post-Sales, Flywheel Exchange

At Flywheel, we're on the lookout for a dedicated and enthusiastic Field Application Scientist - Post-Sales to join our growing team in Minneapolis or as a remote team member across the US. In this role, you'll be the linchpin between our innovative products and our valued customers, leveraging your technical expertise to ensure seamless implementation and optimization of our solutions. You'll have the opportunity to engage directly with researchers, data scientists, and clinicians, providing tailored training and support that caters to their specific needs. Your day-to-day will involve collaborating with various internal departments, including Sales, Product, and Engineering, to drive product adoption and customer satisfaction. You'll design solutions for integrating our products into existing workflows and assist customers with their unique imaging data needs, all while staying focused on delivering top-notch service. Flexibility is key, as you'll need to travel occasionally for customer site visits or conferences—about 20% of your time. We’re passionate about work-life balance and support our employees through a comprehensive benefits package. If you're a customer-focused problem solver with a background in Life Sciences or related fields and a flair for communication, this role at Flywheel could be the perfect fit for you!

Frequently Asked Questions (FAQs) for Field Application Scientist - Post-Sales Role at Flywheel Exchange
What are the primary responsibilities of the Field Application Scientist - Post-Sales at Flywheel?

As a Field Application Scientist - Post-Sales at Flywheel, your primary responsibilities include ensuring successful implementation and optimization of our products, delivering tailored training for customers, and collaborating with internal teams to resolve any customer challenges. You'll also design solutions for data ecosystems and maintain detailed records of customer interactions, all aimed at enhancing product adoption and satisfaction.

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What qualifications do I need to become a Field Application Scientist - Post-Sales at Flywheel?

To qualify for the Field Application Scientist - Post-Sales role at Flywheel, a Bachelor’s degree in biomedical engineering, computer science, or a related discipline is required, with an advanced degree preferred. You should have over 5 years of experience in a customer-facing technical role and a deep understanding of medical imaging workflows. Excellent communication skills and experience with data management platforms or scripting languages are essential.

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How can a Field Application Scientist at Flywheel contribute to customer satisfaction?

A Field Application Scientist at Flywheel contributes to customer satisfaction by providing expert support, delivering customized training, and ensuring that products are integrated smoothly into existing workflows. By acting as a trusted liaison between customers and internal teams, you help address customer feedback and escalate issues, all aimed at enhancing their experience and driving successful adoption of our solutions.

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What kind of travel can I expect in the Field Application Scientist - Post-Sales role at Flywheel?

In the Field Application Scientist - Post-Sales role at Flywheel, you can expect to travel up to 20% of your time, primarily for customer site visits and conferences. This travel allows you to meet customers in person, conduct hands-on training, and ensure that your clients receive the best possible support tailored to their unique needs.

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What tools or languages should I be familiar with for the Field Application Scientist - Post-Sales position at Flywheel?

For the Field Application Scientist - Post-Sales position at Flywheel, familiarity with tools and programming languages such as Python, MATLAB, SQL, or other data scripting languages is highly beneficial. Alongside technical skills, having a solid understanding of medical imaging standards and workflows will help you succeed in this role.

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Common Interview Questions for Field Application Scientist - Post-Sales
Can you describe your experience in a customer-facing technical role?

When answering this question, share specific examples of previous roles where you provided post-sales support. Highlight any particular successes you achieved in enhancing customer engagement or resolving technical issues, focusing on how your actions led to improved customer satisfaction.

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How do you approach training customers on new technology?

Explain your training process, emphasizing how you customize sessions to meet the unique needs of each customer. Discuss any specific strategies or tools you use to ensure clarity and effectiveness, such as workshops, one-on-one sessions, or online resources.

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What strategies do you use to integrate products into existing customer workflows?

Demonstrate your understanding of workflow integration by discussing strategies such as conducting needs assessments, designing tailored solutions, and working closely with customers through the implementation phase to address challenges proactively.

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Can you provide an example of a time you resolved a significant customer issue?

To showcase your problem-solving skills, provide a detailed example where you identified a critical issue, the steps you took to resolve it, and how it positively impacted the customer relationship. Emphasize your ability to collaborate with internal teams to find solutions.

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What is your understanding of medical imaging workflows?

Discuss your knowledge of various imaging modalities such as MRI and CT, and how data is managed and processed within these workflows. Highlight any relevant experience you have in applying this knowledge to improve product adoption or customer experience.

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How do you stay current with technological advancements in the life sciences field?

Mention the resources you use to keep up with industry trends, such as scientific journals, webinars, and professional networks. Discuss any relevant certifications or training you pursue to maintain your expertise.

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How do you handle difficult conversations with clients?

Describe your approach to difficult conversations, emphasizing your commitment to active listening, empathy, and finding solutions. Offer an example of a past experience where you successfully navigated such a conversation.

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What tools have you used for data management or analysis?

Talk about the specific data management platforms, cloud solutions, or software tools you have used in past roles. Highlight how you leveraged these tools to drive efficiency or improve customer outcomes.

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Can you explain how you would prioritize multiple customer requests?

Discuss your approach to prioritizing customer requests based on factors like urgency, impact on customer satisfaction, and alignment with business goals. You can provide an example to illustrate your prioritization method in action.

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What motivates you in a Field Application Scientist role?

Share your passion for technology and customer service, emphasizing how the ability to solve complex problems and positively impact customers drives your motivation. You can include anecdotes that reflect your enthusiasm for the role.

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Full-time, remote
DATE POSTED
December 20, 2024

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