Applyđź“Ť United States of America
🧠Full-Time
đź’¸ 220000 - 280000 USD per year
🔍 Life Sciences and Healthcare
- Bachelor’s degree in Computer Science or related field (or equivalent applicable experience).
- 8+ years of industry experience and 2+ years in engineering management.
- Experience in delivering ML/AI products.
- Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field is preferred.
- Experience collaborating with cross-functional teams to achieve strategic goals.
- Ability to take ownership of critical problems end-to-end.
- Ability to build understanding of life sciences processes and product needs.
- Experience with current commercial LLMs like GPT-4.
- Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
- Experience designing software for the life science industry.
- Work with the SVP of AI Product Transformation to identify highest leverage AI implementation opportunities.
- Assist in communicating AI investment and growth opportunities to the ELT, CEO, and potentially Board of Directors.
- Formulate, communicate, and lead iteration of implementation approaches to achieve AI project goals.
- Hire, lead and manage a diverse, high-performing engineering team to execute against these goals.
- Work closely with product owners and biologists to understand workflows, constraints, business value, and opportunities.
- Spend extensive time analyzing data.
- Contribute meaningful amounts of code and/or documentation.
- Mentor and develop a team of junior engineers and data scientists.
LeadershipPythonSoftware DevelopmentArtificial IntelligenceData AnalysisData MiningKerasMachine LearningNumpyPeople ManagementProduct ManagementPyTorchSoftware ArchitectureCross-functional Team LeadershipStrategyAlgorithmsData analysisData miningData scienceGoREST APITensorflowCommunication SkillsAnalytical SkillsCollaborationProblem SolvingRESTful APIsMentoringAttention to detailDocumentationCoaching
Posted 2024-11-14
Apply