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.

Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry.

The Role:

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

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, 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.