AI Scientist - 2 years temporary contract
Basel Headquarter, Switzerland
Roche
As a pioneer in healthcare, we have been committed to improving lives since the company was founded in 1896 in Basel, Switzerland. Today, Roche creates innovative medicines and diagnostic tests that help millions of patients globally.Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
The Position
AI Scientist (2 years temporary contract)
We advance science so that we all have more time with the people we love.
Pharmaceutical Sciences (PS) is a global function within Roche Pharma Research and Early Development (pRED).
As a team member in the Prediction Modelling (PM) group of PS, you will work in close collaboration with pharmacometricians, clinical data scientists, and other experts in pRED, utilizing advanced computational and analytical tools to support drug development. You will apply cutting-edge methodologies in data science and predictive modeling, gaining valuable insights from leaders in the field to drive innovation in therapeutic discovery and development.
The opportunity:
We are seeking an AI Scientist to develop and implement coding agents that automate data wrangling and manipulation specifically for clinical data in CDISC format. This project aims to significantly streamline data processing, enhance data quality, and accelerate insights generation, thereby playing a pivotal role in advancing our clinical development processes.
Develop and deploy AI-powered coding agents to automate data wrangling, transformation, and validation of clinical data in CDISC format.
Implement and optimize LLM-based agent workflows to efficiently extract, clean, and standardize clinical data.
Design and build automated pipelines to enhance data analysis, reporting, and modeling for clinical and pre-clinical trials.
Create automated workflows for generating modeling reports and ensuring data quality control throughout the process.
Collaborate with pharmacometricians, disease modelers, pre-clinical modelers and data scientists to integrate automated pipelines into existing model development and reporting workflows.
Establish and maintain robust CI/CD pipelines and best practices for using coding agents in clinical data management and analysis.
Who you are:
You have an MS or PhD in Computer Science, Software Engineering, Statistics, Bioinformatics, or a related field, or equivalent experience.
You have 2+ years of industry experience in machine learning, automation engineering, and data manipulation, preferably within the pharmaceutical or healthcare industry.
You have a proven track record in software development, particularly in developing and deploying machine learning models, including LLMs, in production environments. Experience with clinical data and CDISC standards is highly desirable.
You possess strong programming skills in Python and/or R, and have experience with Machine Learning/Deep Learning algorithms, frameworks (e.g., PyTorch, TensorFlow), multiple data modalities (e.g., relational DB, images, free-form texts), NLP, clustered compute environments, and proficiency with productivity toolchains.
You have a solid understanding of clinical development processes, scientific, clinical, operational, and organizational data life cycles, and the digital landscape in the Pharma/Biotech industry. You also have knowledge of automation technologies, including robotics, instrumentation, or workflow optimization.
You have strong problem-solving and communication skills, experience collaborating with external scientific partners, and a passion for innovation in machine learning and automation, with a commitment to continuously staying up-to-date with the latest advancements. You can develop and maintain reusable code libraries and documentation.
You are a proactive problem-solver with a keen attention to detail and data quality.
You thrive in a collaborative environment and are eager to contribute to a dynamic team.
Who we are
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel/Kaiseraugst site, which is one of Roche`s largest sites. Read more.
Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.
We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.
Roche is an Equal Opportunity Employer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bioinformatics CDISC CI/CD Computer Science Data analysis Data management Data quality Deep Learning Engineering LLMs Machine Learning ML models NLP Pharma PhD Pipelines Predictive modeling Python PyTorch R Research Robotics Statistics TensorFlow
Perks/benefits: Career development Equity / stock options Flex hours Medical leave Team events
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