Staff Scientist, Helix

• PhD in Computer Science, Machine Learning, Statistics, Bioinformatics, or related field (or equivalent experience)
• 8+ years of experience in applied machine learning research and development
• Strong foundation in statistics, experimental design, and causal inference
• Proficiency in data analysis, feature engineering, and statistical modeling
• Expert-level knowledge of modern relevant frameworks (for example PyTorch, TensorFlow, JAX, LangChain, and Scikit-learn) with emphasis on the Python ecosystem
• Strong programming skills in Python and familiarity with ML deployment practices
• Experience with large-scale data processing and distributed computing
• Excellent communication skills and ability to explain complex concepts clearly
• Experience working with healthcare data, EHRs, or genomic data

Desirable

• Join Helix's Data Science AI/ML team at the forefront of healthcare innovation, where we're developing solutions to understand and improve patient care pathways
• You'll work with rich, multi-modal healthcare datasets, including electronic health records (EHRs), clinical notes, and genomic data to build models that drive meaningful insights and improve patient outcomes
• Our team is currently working on exciting projects including:
• Developing methods, processes, and models to understand patient trajectories and predict clinical outcomes by identifying patterns in longitudinal patient data
• Creating custom LLM agent solutions for processing and analyzing unstructured medical text data
• Building novel ML approaches that integrate genomic and clinical data for personalized medicine and creating insights and features used by our research team
• As AI/ML Scientist, you will:
• Drive the evaluation and adoption of emerging ML technologies in healthcare
• Lead research initiatives in healthcare AI/ML for clinical and genomic data analysis
• Contribute to our ML infrastructure and experimentation frameworks
• Research and evaluate emerging AI/ML and GenAI technologies as applied to life sciences and healthcare
• Design and implement solutions that combine multiple data modalities
• Collaborate with cross-functional teams to integrate AI solutions into product pipelines
• Act as a technical adviser across the organization and contribute to the team's technical direction
• Author technical papers and present findings both internally and externally
• What To Expect During Your Onboarding Week:
• We want to make sure your first week is spent learning the foundations. You will be invited to live orientation sessions and spend time with your hiring manager developing your individual roadmap to success
• This experience will include sessions that cover your benefits, security & privacy training, an introduction to the OKR framework used at Helix and our communication tools and norms
• What To Expect During Your First 90 days:
• First 30 days: you’ll spend time learning the Helix way, completing training and onboarding for your roles, and getting introduced to your team and relevant stakeholders. You’ll also gain a deeper understanding of our customers, our products, the impact we make in the lives of our communities, and how to thrive at Helix through participation in Helix U
• Day 30 - 60: you’ll spend time contributing to projects, deeply familiarizing yourself with team and company processes, and developing a deeper understanding of Helix’s products, services and capabilities
• Day 60 - 90: you’ll build your OKRs with your manager, start to take ownership of projects and initiatives on your team, and begin to demonstrate your impact on the Helix mission

• Expected Interview Process:
• 1) Recruiter Screen 2) Manager Screen/Tech Screen 3) Onsite 4) Offer