AI Engineer

Company Information

Clinical Ink is the global life science company that brings data, technology, and patient science together to unlock clinical discovery. Our deep therapeutic‑area expertise, coupled with Direct Data Capture, eCOA, eConsent, telehealth, neurocognitive testing, and digital biomarkers advancement, drive the industry standard for data precision and usher in a new generation of clinical trials. With offices in Philadelphia, PA, Winston Salem, NC, and Iowa City, IA, Clinical Ink is rewriting the clinical development experience.

Clinical Ink is seeking a highly motivated AI Engineer to join our Artificial Intelligence and Innovation team, which is focused on building next‑generation AI capabilities for clinical trial technology. In this role, you will develop and deploy AI and machine learning features that enhance our digital health platforms, support data‑driven decision‑making, and improve operational efficiency across the organization. You will work collaboratively with data scientists, product managers, software engineers, and clinical subject matter experts to design intelligent systems that enable smarter clinical trials.

The AI Engineer's responsibilities include:

• Design and Develop AI/ML Models
  :
  Build and train machine learning models for applications such as data quality prediction, sensor signal interpretation, language models for eCOA optimization, and trial participant behavior analysis.
• AI Feature Integration: Collaborate with product and engineering teams to integrate AI‑powered features into web and mobile applications used by trial participants, clinicians, and sponsors.
• Prototype Development
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  Rapidly prototype AI solutions and proof‑of‑concept applications to evaluate feasibility and business value.
• Data Preparation and Engineering
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  Clean, transform, and analyze structured and unstructured clinical trial data, wearable data, and patient‑reported outcomes to support model training and evaluation.
• Operational Efficiency Projects
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  Contribute to internal AI tools that automate or optimize internal operations such as quality control, documentation review, or software test prioritization.
• Model Deployment and Monitoring
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  Work with Dev Ops and engineering to deploy models in production environments and monitor model performance over time.
• Collaboration and Documentation
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  Work in an Agile environment with cross‑functional teams. Document technical approaches, assumptions, and results clearly for both technical and non‑technical audiences.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
• 2+ years of experience in applied machine learning or AI engineering.
• Proficiency in Python and ML libraries (e.g., scikit‑learn, PyTorch, Tensor Flow, XGBoost).
• Experience building and validating machine learning models on real‑world datasets.
• Strong understanding of supervised and unsupervised learning techniques.
• Experience with cloud platforms (e.g., AWS, Azure) and MLOps workflows.
• Strong problem‑solving skills and attention to detail.
• Experience with time‑series data or biomedical sensor data (e.g., CGMs, wearables) preferred.
• Exposure to clinical trial processes, health tech, or eCOA systems preferred.
• Familiarity with NLP techniques for text classification, summarization, or LLM applications preferred.
• Experience working with healthcare data formats (e.g., HL7 FHIR, CDISC, JSON APIs) preferred.

Clinical ink is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or handicap, or veteran status.