Data Scientist III (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist III in the United States.

This role provides an opportunity to apply advanced AI/ML techniques to large-scale clinical and pathology datasets, enabling the development of innovative diagnostic tools. The successful candidate will work closely with cross-functional teams to design, implement, and evaluate machine learning models that predict clinical outcomes and pathological features. This position combines deep technical expertise with collaborative problem-solving, requiring clear communication of complex concepts to both technical and non-technical stakeholders. The role offers exposure to cutting-edge computer vision and foundation models, as well as the chance to contribute to high-impact healthcare applications. Candidates will thrive in a fast-paced, research-driven environment where innovation, rigor, and storytelling with data are central to success.

Accountabilities:

·        Develop digital pathology AI models using whole-slide images to predict clinical and pathological outcomes.

·        Adapt and implement state-of-the-art AI/ML foundation models for real-world clinical datasets.

·        Evaluate model performance in relation to clinical, pathological, and genomic outcomes, linking explainability to biological insights.

·        Design experiments to compare and optimize AI/ML methodologies and document results.

·        Collaborate with internal and external stakeholders to understand clinical and business requirements and tailor models accordingly.

·        Work alongside bioinformaticians, statisticians, and medical experts to generate analyses, visualizations, and publication-quality figures.

·        Communicate findings effectively to both technical and non-technical audiences through presentations and academic writing.

·        PhD in Data Science, Machine Learning, Applied Math, or a related field.

·        5+ years of experience in a data or applied scientist role.

·        Expertise in Python (or equivalent) for AI/ML development, including data manipulation and preparation.

·        Experience with statistical analysis, survival modeling, and multivariate regression with interaction effects.

·        Proficiency in cloud computing environments (AWS preferred).

·        Strong communication skills with attention to detail when summarizing and presenting findings.

·        Ability to work independently and collaboratively in a fast-paced, research-driven environment.

·        Eagerness to learn new technologies and adapt to evolving project requirements.

·        Preferred: knowledge of cancer biology, experience with real-world clinical data, and familiarity with regulated diagnostic environments (LDT/IVD).