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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in engineering agentic systems and machine learning models to advance understanding of molecular mechanisms of disease, with a strong foundation in programming and deep learning frameworks. Proven ability to collaborate within AI/ML teams and contribute to the development of innovative therapies.
Highest-signal resume keywords
Machine Learning Best PracticesDeep Learning FrameworksProgramming Expertise in PythonExperience with LLM AgentsBiomedical Datasets Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningPython ProgrammingSQLGitShell ScriptingAI/ML EngineeringAgentic Workflow DesignMultiomics DatasetsMolecular Biology Modeling
Soft Skills
Problem SolvingCollaborationContinuous Learning
Tools & Technologies
PyTorchTensorFlow
Industry Keywords
GenomicsRNA BiologyMolecular Mechanisms of DiseaseDrug DesignEmerging Diseases
Tech Stack
Tools & technologiesPythonPyTorchShell ScriptingSQLTensorflow
About the role
Key responsibilities & impact- Engineer agentic systems and machine learning models to elucidate molecular mechanisms of disease
- Work with frontier models, foundational genomics models, and multiomics datasets from patients and laboratory experiments
- Model aspects of molecular biology and medicinal chemistry to inform disease understanding, drug design and response, and longevity
- Ship high-performing AI/ML products
- Apply machine learning best practices
- Collaborate within the AI/ML team
- Contribute to the development of novel therapies and responses to emerging or changing diseases
Requirements
What you’ll need- Degree in a quantitative or engineering discipline (computer science, bioengineering, physics, mathematics, electrical engineering, etc.) or equivalent work experience
- Experience with LLM agents, evaluations, and agentic workflow design
- Experience with at least one major deep learning framework, such as PyTorch or TensorFlow
- Programming expertise in Python
- Experience using Git, SQL, and shell scripting within an AI/ML engineering stack
- Experience applying machine learning best practices
- Passion for solving challenging problems in Artificial Intelligence and Machine Learning
- Continuous learning and development
- Familiarity and experience with genomics and RNA biology is a plus, but not required
- Internship experience as a researcher in an AIML-focused academic lab, or as an AIML engineer or software engineer in industry is preferred
- Experience working with biomedical datasets is preferred
- Track record of contributing to open-source projects is preferred
Benefits
Comp & perks- Annual bonus
- Eligibility to participate in share-based long-term incentive program
- Health care and other insurance benefits for employee and family
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental leave
- Paid medical leave
- Career and development support
- Accommodation or other assistance to apply, if required