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Be ready to walk through how you would validate life-sciences training data, catch label noise, and decide when a model output is scientifically unsafe. Expect scenarios on trial design trade-offs and how AI insights fail early in the development cycle. Prepare concrete examples of domain review with technical teams.
Strong fit if you combine senior life-sciences judgment with comfort training and auditing AI systems in a pharma intelligence setting. On-site expectation in Douglas/Juneau; thin public salary and review data means validate comp, remote policy, and team structure directly with Norstella.
As a Senior Life Sciences Analyst for AI model training at Norstella, you would ground model work in clinical and pharma domain knowledge: curate and label trial/protocol data, define evaluation criteria with data scientists, review model outputs for scientific accuracy, and translate findings for product or client stakeholders. Days mix literature review, annotation quality checks, and cross-team handoffs on training datasets—not pure software engineering.
Build depth in clinical-trial concepts, real-world evidence, and therapeutic-area literacy; pair that with ML evaluation literacy (bias, holdouts, human-in-the-loop review). Practice structured data annotation and clear write-ups that non-ML partners can act on. No certified path was supplied for this listing.
The listing marks remote as off (0) and places the job in Douglas, Juneau, Alaska—treat it as on-site unless Norstella states otherwise.
Public coverage frames Norstella’s AI bet around clinical-trial readiness and life-sciences intelligence, where early analytic quality can decide trial success before enrollment.
Senior domain analysis in life sciences plus ability to train, critique, and improve AI models with scientists and engineers—not generic software titles alone.
Website: norstella.no
Public cache only — not an employee review.
Senior Life Sciences Analyst, AI Model Training at Norstella in Douglas, Juneau Position Summary We are seeking a Senior Life Sciences Analyst with expertise in AI model training to join our team at Norstella. This role will be based in Douglas, Juneau, and requires full-time commitment without remote options. Key Responsibilities Develop and train advanced AI models for life sciences applications Analyze complex data sets to support scientific research and development Collaborate with cross-functional teams to integrate AI solutions into existing workflows Ensure model accuracy, reliability, and scalability in diverse datasets Stay updated on the latest advancements in AI and machine learning technologies Skills & Qualifications Master’s degree in Life Sciences, Computer Science, or a related field Minimum 5 years of experience in AI model training and development Strong proficiency in Python, R, or other programming languages relevant to data science Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn Knowledge of statistical methods and data analysis techniques Excellent problem-solving skills and ability to work in a team environment About Norstella Norstella unites market-leading companies that all have a shared goal of improving patient access. Each organization within our network (Evaluate, Citeline, MMIT, Pana…) brings unique expertise to the table, contributing to our collective mission. How to Apply To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there. Please ensure all required fields are filled out accurately and thoroughly.
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