Machine Learning Engineer

Description

About Norstella

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.

Position Overview:

We are seeking a Machine Learning Engineer with extensive experience in the pharmaceutical industry, specifically in leveraging diverse datasets including claims data, market access data, EMR (Electronic Medical Records) data, and Clinical Trials data. The ideal candidate will have a proven track record of applying advanced data science techniques to derive insights that support strategic decision-making and drive innovation in drug development, commercialization, and market access strategies.

Key Responsibilities:

• Collaborate with data engineers to develop and deploy machine learning models.
• Build and maintain scalable machine learning solutions in production.
• Create secure AWS SageMaker Endpoints and Lambdas to operationalize machine learning models.
• Develop and maintain secure, robust, and scalable data pipelines.
• Implement MLOps best practices regarding data and model drifts checks to ensure data quality and model accuracy and reliability via appropriate monitoring and troubleshooting.
• Integrate MLOps checks and stages (e.g., automated model deployment following successful re-training) within the CI/CD pipeline.
• Collaborate with other teams to define request and response formats for services and define the appropriate AWS service to use, depending on the use case.

Qualifications:

• Bachelor's degree in computer science, STEM, or a related field. Equivalent professional experience will also be considered.
• At least 3 years of professional experience in Machine Learning Engineering, with a focus on deploying secure and robust models in production.
• Strong programming skills in Python, with experience in libraries such as scikit-learn, pandas, scipy, click, and flask and/or FastAPI.
• Experience with the AWS ecosystem, specifically with services like SageMaker and Lambda.
• Experience working with Healthcare data (Claims, EMR, MA data) and a good understanding of Diagnosis codes, Drug codes, Procedure codes, etc. (ICD-10, NDCs, J codes, etc.)
• Experience working in a cross-functional team in a professional setting.
• Good understanding of software development lifecycle and practices, including Git and version control, code reviews, and functional, unit and integration testing.
• Excellent problem-solving skills and the ability to work independently.

Bonus points if you have experience in:

• Experience managing the lifecycle of a machine learning model, including updates, tuning and retraining.
• Familiarity with AWS services beyond SageMaker and Lambda, such as S3, EC2, API Gateway, ECR, and DynamoDB.
• Experience working with large and complex data sets, including data cleaning and preprocessing.
• Knowledge of advanced machine learning techniques (neural networks, ensemble learning, reinforcement learning, etc.) and the ability to implement them in Python.
• Experience with Docker or other containerization technologies.
• Familiarity with CI/CD processes, especially as applied to ML operations (MLOps).

Benefits

• Health Insurance
• Provident Fund
• Reimbursement of Certification Expenses
• Gratuity
• 24x7 Health Desk

Our guiding principles for success at Norstella

01: Bold, Passionate, Mission-First

We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.

02: Integrity, Truth, Reality

We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.

03: Kindness, Empathy, Grace

We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.

04: Resilience, Mettle, Perseverance

We will persevere – even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.

05: Humility, Gratitude, Learning

We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.

Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero tolerance policy to any form of discrimination, abuse or harassment.

Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you.