Remote Solutions Engineer for Life Sciences AI

Norstella

Little Rock (AR)

On-site

USD 90,000 - 130,000

Full time

12 days ago

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Benefits offered by this job

Medical and Prescription Drug Benefits
Health Savings Accounts (HSA) or FSA
Dental & Vision Benefits
401k Retirement Plan with CompanyMatch
Paid Parental Leave
Paid Time Off & Holidays

Job summary

Norstella is seeking a Solutions Engineer to partner with account executives across research, development and commercial cycles, delivering discovery, demonstrations and proposals. You will understand client data landscapes, tailor demos, and move from compelling visuals to running solutions in client environments.

Ideal candidates have pharma/life sciences knowledge and 3–5 years in a solutions engineering or technical consulting role, with strong communication and the ability to operate in

Qualifications

  • Domain knowledge of pharma and life sciences: clinical trials, pipeline/asset intelligence, forecasting.
  • 3–5 years in a solutions engineering, sales engineering, technical consulting or implementation role for data/analytics/SaaS, with enterprise clients.
  • Outstanding communication: explain complex concepts to both technical and business stakeholders.
  • Strong discovery instincts to uncover client needs and map to Norstella capabilities.

Responsibilities

  • Pre‑sale technical partnership: understand client challenges and map to Norstella capabilities.
  • Design and deliver tailored demonstrations and proofs of concept for real use cases.
  • Scope engagements, define success criteria, and draft statements of work with commercial teams.
  • Lead delivery inside client environments and become the technical face of Norstella.

Skills

pharma & life sciences domain
solutions engineering
strong communication
discovery & demos
ambiguous environments

Job description

Norstella is seeking a Solutions Engineer to partner with account executives across research, development and commercial cycles, delivering discovery, demonstrations and proposals. You will understand client data landscapes, tailor demos, and move from compelling visuals to running solutions in client environments.

Ideal candidates have pharma/life sciences knowledge and 3–5 years in a solutions engineering or technical consulting role, with strong communication and the ability to operate in

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