Staff Machine Learning Scientist

• Job Opportunity: Staff Machine Learning Scientist
• Location: US (Hybrid or Remote US or Europe based)

We are seeking a Staff Machine Learning Scientist to join a growing Machine Learning Science team within a leading computational and biological research environment. This role is ideal for a senior ML/DL expert passionate about tackling complex biological challenges—particularly in early disease detection.

You’ll develop advanced algorithms for blood-based molecular signal detection, working closely with computational biologists, molecular biologists, and ML engineers. Your work will directly shape breakthrough scientific programs and have meaningful real-world impact.

• What You’ll Do
• Drive independent, cutting-edge AI/ML research applied to biology (e.g., cancer, genomics, immunology).
• Build and refine deep learning models to detect biological changes linked to disease.
• Ensure models generalize robustly across datasets with high predictive performance.
• Apply interpretability techniques to uncover underlying biological mechanisms.
• Collaborate with ML Engineering on scalable model-training infrastructure.
• Contribute to a transparent, thoughtful, and experimental research culture.

• Must-Have Qualifications
• PhD (or equivalent research experience) in AI-focused fields such as CS, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics.
• 6+ years post-PhD industry or postdoc experience applying ML/DL.
• Proven track record of impactful ML/DL research and publications.
• Strong grasp of foundational ML models (GLMs, kernels, forests, neural nets, boosting).
• Deep experience with modern DL architectures (LLMs, CNNs, transformers, etc.).
• Expertise in supervised, self-supervised, and contrastive learning.
• Proficiency in Python, R, Java, C/C++, or similar languages.
• Hands-on experience with PyTorch, TensorFlow, or JAX; plus platforms like Hugging Face.
• Familiarity with ML tooling such as TensorBoard, MLflow, or Weights & Biases.
• Excellent cross-disciplinary communication and collaborative skills.

• Nice-to-Have Experience
• Computational biology, genomics, proteomics, or related domains.
• DL approaches for genomic data or experience with DNA foundation models.
• NGS data analysis and bioinformatics workflows.
• Cloud ML environments (Docker, GCP, AWS, Azure).
• Production-level engineering practices (CI, version control, deployment systems).

• Compensation & Benefits
• Total compensation includes a competitive salary range, equity, bonus eligibility, and comprehensive medical and financial benefits. Final compensation may vary based on experience, location, and skill level.

If you’re passionate about using advanced machine learning to impact human health and want to work at the forefront of computational biology, we’d love to hear from you.