Senior Life Sciences AI Knowledge Engineer — Remote

Norstella

Trenton (NJ)

On-site

USD 90,000 - 105,000

Full time

14 days+

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Benefits offered by this job

401k Retirement Plan with Company Match
Medical and Prescription Drug Benefits
Paid Parental Leave
Paid Time Off & Company Holidays

Job summary

Norstella, a leader in life sciences data and AI solutions, seeks a Senior Life Sciences Knowledge Engineer. This remote position plays a pivotal role in enhancing AI model performance through high-quality dataset curation.

Applicants should possess a graduate degree in life sciences, and at least 3 years of relevant experience, particularly with AI-enabled applications. The role involves collaboration with experts in a fast-paced environment, driving innovations in drug development.

Qualifications

  • At least 3 years of professional experience in production-grade datasets.
  • Experience with structured publishing platforms and data tools.
  • Excellent problem-solving and communication skills.

Responsibilities

  • Develop methods and parameters of model behavior based on requirements.
  • Translate complex subject matter into patterns for model training.
  • Maintain documentation for every dataset to meet regulatory standards.

Skills

Production-grade life science datasets
Communication between technical and non-technical teams
Generative AI and LLMs
Statistical analysis of large data sets
Collaboration with data scientists

Education

Graduate degree in life sciences or equivalent

Tools

AWS ecosystem
CI/CD processes, MLOps

Job description

Norstella, a leader in life sciences data and AI solutions, seeks a Senior Life Sciences Knowledge Engineer. This remote position plays a pivotal role in enhancing AI model performance through high-quality dataset curation.

Applicants should possess a graduate degree in life sciences, and at least 3 years of relevant experience, particularly with AI-enabled applications. The role involves collaboration with experts in a fast-paced environment, driving innovations in drug development.

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