Artificial Intelligence Machine Learning (AI/ML

Docker (Software) Technical Support Data Visualization Industry Standards Workflow Management Amazon Web Services Software Engineering Software Development Contingent Workforce Computational Biology Electrical Engineering Biomedical Engineering Artificial Intelligence Relationship Management Torch (Machine Learning) Machine Learning Algorithms Google Cloud Platform (GCP) Interpersonal Communications Python (Programming Language) Cross-Functional Collaboration Systems Development Life Cycle PyTorch (Machine Learning Library) Transformer (Machine Learning Model) Directed Acyclic Graph (Directed Graphs), Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission to delivering towards inventing new medicines that save and improve lives. Core to the Data, AI, and Genome Sciences (DAGS) function is an AI/ML-first approach to improving target and biomarker discovery, validation and selection and elucidating complex disease mechanisms. As Associate Director, AI/ML Engineering, you will build state-of-the-art AI/ML tools and pipelines to accelerate scientific discovery. You will be part of a cross-functional team of computational biologists, bioinformaticians, data scientists, software engineers, and other AI/ML engineers that strive to identify therapeutic targets., * Lead the design, development, deployment, monitoring, and maintenance of reusable software components that can be integrated into reliable/scalable AI/ML workflows, tools, and applications

• Collaborate in a highly-matrix environment to identify research questions, scope data requirements, and develop appropriate AI/ML solutions
• Provide tactical and strategic technical support for AI/ML Researchers and Data Scientists
• Stay up-to-date with the latest advancements in AI/ML research and operations to proactively propose innovative approaches aligned with industry standards that enhance our internal capabilities

Github MLflow Biology Physics Teamwork Research Genetics Genomics DevSecOps Pipelines Operations Innovation Biomarkers Compassion Databricks Scalability Claude Code Data Science Self-Starter Communication Life Sciences Data Modeling Bioinformatics Image Analysis Database Design Computer Science Machine Learning Telephone Skills Data Engineering Feature Learning, * PhD in Computer Science, Physics, Electrical Engineering, Biomedical Engineering, Bioinformatics, Computational Biology, Genetics/Genomics, or a related STEM field with 4+ years post-graduate academic medical or industry experience

• Masters with 7+ years of experience, or
• Bachelors with 11+ years of experience

Experience & Skills:

• Candidates must be an Engineer with a passion to focus relentlessly on the enablement of their teammates with best-in-class tools and pipelines in a fast-paced industry environment
• Candidates must have excellent communication/interpersonal skills and a team-focused collaborative mindset to provide technical support to code-heavy AI/ML Engineers and Data Scientists and to collaborate more broadly in a multi-disciplinary department
• Candidate must be a self-starter and be able to lead projects independently
• Candidates must have experience with Python, Torch, AWS, MLFlow, Docker, GitHub, and GitHub Actions CI/CD workflows
• Candidates must have experience building/deploying/scaling novel AI/ML pipelines, particularly transformer-based Foundation Models and representation learning to support downstream tasks
• Candidates must have experience with the full SDLC of maintaining Python Packages and Docker images following modern DevSecOps best practices
• Willingness to learn from others and to teach others
• Excellent communication skills and ability to work collaboratively in multi-disciplinary team
• Interest in life sciences problems and how agentic Co-scientist environments can accelerate discovery
• Experience with multi-omics and imaging data is nice to have
• Experience with Claude Code, Databricks, and GCP is nice to have

#EligibleforERP

Required Skills: Agile SDLC, Artificial Intelligence (AI), Biological Sciences, Cross-Functional Collaboration, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Foundation Models, GitHub Actions, Life Science, Machine Learning (ML), Machine Learning Algorithms, Python Software Development, PyTorch, Software Development, Stakeholder Relationship Management, Teamwork, Transformer Model, Willingness to Learn

Preferred Skills: Amazon Web Services (AWS), Databricks Platform, Google Cloud Platform (GCP) for Machine Learning, Imaging Analysis, Omics, Lexington, MA*On-Site Veeva Softmax Chemistry Visionary Innovation Biotechnology Pharmaceuticals Quality Control Large Molecules Stability Testing Sample Management Method Validation Analytical Method Analytical Testing Analytical Chemistry Method Qualification Analytical Techniques New Product Development Artificial Intelligence Capillary Electrophoresis Engineering Design Process Good Manufacturing Practices Polyacrylamide Gel Electrophoresis High-Performance Liquid Chromatography

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

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The salary range for this role is $159,600.00 - $251,200.00, Aerotek Danvers, MAOn-Site Aviation Hand Tools Microscopy Health Advocacy Artificial Intelligence Discounts And Allowances Employee Assistance Programs +0 Finisher Operator Aerotek Beverly, MARemote Aviation Grinding Deburring Operations Health Advocacy Grinding Machine Workflow Management Artificial Intelligence Discounts And Allowances Employee Assistance Programs +0

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.