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
The Positions
As a Data Scientist you will join the data science cluster in the Roche Informatics Data and Analytics Chapter (DnA).
You will be part of one or several multi-disciplinary agile teams where you'll actively shape the future of healthcare by using data science methods and principles to generate deeper insights from a great variety of data sources. To achieve this, you will proactively identify needs, design and implement analytical solutions, provide advice and consulting support to our key stakeholders and show impact by executing proof-of-value initiatives, or contributing to existing products.
As a Data Scientist you will:
- Be accountable for the development and implementation of Data Science products
- Support proactive identification of the most relevant analytical use cases in collaboration with the key stakeholders
- Support prioritisation efforts, understand feasibility and business impact, take smart risks to make informed decisions in a fast-paced, evolving environment to deliver patient benefits faster
- Collaborate within global agile teams in the Roche Informatics business and foundational domains to develop products that provide the highest value to both Roche Pharma and Diagnostics business stakeholders.
- Provide methodical and implementation guidance as well as hands-on support around analytical use cases
- Communicate findings and market the value of use cases to key stakeholders
- Contribute to positioning data science as a key competency within the enterprise
- Continuously look for opportunities to broaden knowledge, capabilities and skill set to enable talent to flow into different specialties
- Be a role model for knowledge sharing within the DnA chapter.
- Act as a coach, mentor, or buddy to help colleagues grow and develop
Qualifications
- M.Sc. or PhD in Computer Science, Physics, Statistics, Mathematics or equivalent degree and experience with machine learning/data mining/artificial intelligence.
- At least 3 years of working hands-on experience as a Data Scientist
- Proven experience to add value and insight by providing advanced analytical solutions
- Hands-on experience with one or several fields of data mining, machine learning, statistics and prediction, image processing, natural language processing, deep learning, and other ML algorithms
- Good knowledge of regulatory aspects regarding the validation of AI-based solutions in healthcare production processes and digital products
- Experience with data and statistical languages/tools such as SQL, R, Python, etc
- Data storytelling skills and using visualisation tools to communicate data and results with a non-technical audience
- International, goal oriented mindset with can do attitude
- Experience in the pharmaceutical/biotech industry is preferred.
- Experience in working with cloud technologies and data science workbenches is preferred.
- Fluency in written and spoken English
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.
The Roche Services & Solutions as well as People Support Solutions organisations located in Kuala Lumpur provide end-to-end business solutions for Finance, Procurement, IT, Communications, People & Culture (Human Resources) and beyond to our Roche colleagues across the APAC region. Today Roche employs altogether around 1100 employees in Malaysia.
Roche is an Equal Opportunity Employer.
