Senior Engineer, Machine Learning (ML)

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making., In this role as aSenior Machine Learning Engineer, you will:

• Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization
• Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs
• Collaborate with product stakeholders, data scientists and engineering teams to design and implement AI / ML solutions for complex business problems and use cases
• Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models
• Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
• All other duties, as assigned

• Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
• 5+ years of experience designing large scale, complex, data intensive, AI / ML applications in an industrial setting
• Substantial depth and breadth in system design, latency optimization, cloud infrastructure optimization, knowledge graphs, and MLOps
• Deep understanding of CS fundamentals, computational complexity and algorithm design
• Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes
• Excellent knowledge of Python and core data science libraries including Pandas, NumPy and other similar libraries
• Experience mentoring junior team members
• Excellent problem solving and communication skills

Preferred Qualifications:

• Knowledge of the healthcare domain and experience with applying AI to healthcare data
• Experience with AWS especially in relation to ML workflows with SageMaker, ECS, serverless compute and storage such as S3 and Snowflake

• Medical and Prescription Drug Benefits
• Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)
• Dental & Vision Benefits
• Basic Life and AD&D Benefits
• 401k Retirement Plan with Company Match
• Company Paid Short & Long-Term Disability
• Paid Parental Leave
• Open Vacation Policy& Company Holidays, The expected base salary for this position ranges from $200,000 to $215,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.

At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: * Citeline - accelerate the drug development cycle * Evaluate - bring the right drugs to market * MMIT - identify barrier to patient access * Panalgo - turn data into insight faster * The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.