Solutions Engineer, Life Sciences

1 month ago
Full-time
Senior
Software Development
Puck

Puck

Puck helps great teams find great teammates through employer branding, conversations, and authentic candidate engagement, using personalized automation to enhance the candidate experience and improve hiring metrics.

Internet Software & Services
1-10
Founded 2020

Description

  • Engage closely with customers to understand their workflows, constraints, and technical challenges before proposing solutions.
  • Design and run hands-on proof-of-concept projects tailored to customer environments and life sciences use cases.
  • Work with account executives to design architectures for data governance, reproducibility, and validation requirements in regulated environments.
  • Identify new life sciences use cases where Domino can create additional customer value beyond the initial engagement scope.
  • Build and maintain reusable technical environments and assets to accelerate future customer engagements.
  • Partner with Customer Success and Solutions Architects to ensure customers are positioned for production success after a POC.
  • Build custom prototypes and applications on Domino to demonstrate value beyond standard demos.
  • Contribute to technical evaluations and customer engagements that drive adoption and production deployments.
  • Support the company’s shift toward Forward Deploy Engineering within field work.

Requirements

  • Technical background in life sciences, with experience in a pharma, biotech, CRO, genomics, or medical device organization.
  • Working knowledge of at least one life sciences domain such as drug discovery, clinical development, computational biology, manufacturing/QC, or regulatory data management.
  • Experience building, operating, or contributing to an internal platform or shared scientific computing environment.
  • Experience in a solutions engineering, pre-sales, customer-facing technical, consulting, or equivalent internal role.
  • Experience leading or contributing to technical evaluations, pilots, or proof-of-concepts that influenced adoption or investment decisions.
  • Demonstrated ability to write production or near-production code to solve scientific or operational problems.
  • Proficiency in Python and/or R.
  • Hands-on experience with data science and machine learning tools used in life sciences technical work.
  • Familiarity with how models are built, validated, and moved toward production in regulated contexts is a plus.

Benefits

  • Annual US base salary range of $200,000 to $250,000 USD.
  • Additional equity may be included.
  • Company bonus or sales commissions/bonuses may be included.
  • 401(k) plan.
  • Medical, dental, and vision benefits.
  • Wellness stipends.
  • Remote work eligibility (#LI-Remote).

Interested in this position?

Apply directly on the company website

Apply Now

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