Machine Learning & Data Engineer

MACHINE LEARNING & DATA ENGINEER Craft, develop, and field data science solutions that drive impact for HCP (Health Care Professional), patients and for Janssen 2021 Best Places to Work –
1 in Health Industry Location: NSW, North Ryde with flexible work practices At Janssen everything we do is engineered with the patient in mind. It drives us to search for new ideas and innovative healthcare solutions. We embrace challenges and develop treatments that will change the lives of our patients. We are in an exciting period at Janssen Australia & New Zealand. We are evolving our ways of working to be able to deliver the greatest value for our patients. We are introducing a number of new positions to strengthen our capability, deliver on our exciting pipeline and to provide the meaningful talent development experiences for our people, to develop them into leaders of the future. THE OPPORTUNITY Janssen Pharmaceuticals is looking for an extraordinary machine learning & data engineer who is passionate about crafting, developing, and fielding data science solutions that drive impact for HCP (Health Care Professional), patients and for Janssen. There are many ways to explore and analyze data, and this powers the excitement and passion of data scientists at Janssen as many business units are eager to use the data to build business value. As a leader for machine learning & data engineering reporting to the Director of Data Science and Insights, you will be responsible for building and leading the machine learning engineering capability in Janssen ANZ. You will leverage your experience and communication skills to work across business & technology teams to build and develop innovative data science models and algorithms. Your technical knowledge and ability to apply them to in Janssen will be paramount to your success in this role. In this newly created role, you will be focusing on (but not limited to) patient/payer analytics, commercial strategy, and patient support program analytics. Specifically, you will lead and build end-to-end machine learning pipelines by developing and applying creative solutions that go beyond current tools and work together with data scientist to build predictive models. RESPONSIBILITIES Deliver end to end machine learning solutions for our key projects. Work with local and regional Data Science and MLE teams to design and implement data processing and machine learning deployment/ML Ops Collaborate with platform teams and solution architect to evolve our big data platforms and evaluate various data science technologies and services. Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making. Qualifications ITS ALL ABOUT YOU M.S. with 7+ years of experience, in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related discipline. Minimum 2 years’ experience as a software engineer/ machine learning engineer / data engineer writing production level code. Proven track record of building end to end machine learning pipelines and big data solutions. Strong programming skills in Python, SQL and Spark. Experience working with Linux/Unix based systems in a cloud environment (such as AWS/Azure/GCP) Strong working knowledge of common big data platforms / software development toolkits such as Kubernetes, Airflow, Jenkins, JIRA, Confluence, Git, Databrick. Experience with deep learning framework, e,g. Tensorflow, PyTorch is a plus. Familiar with the software development life cycle. Working knowledge of AI-type algorithms, including machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, and/or Bayesian models. COMPANY CULTURE You will be rewarded through a competitive remuneration package along with continuous training, support and award-winning leadership development programs. Being part of Johnson & Johnson can change everything, including YOU: If you are interested, please apply online using the link below. You will receive an automated email confirming receipt of your application. Every application is reviewed by the Talent Acquisition team and candidates will receive notification of the outcome of their application in a timely manner. Closing date: COB 23 March 2022 Johnson & Johnson is an equal opportunity employer who supports inclusive, flexible and accessible working arrangements for all. This includes persons with disabilities, culturally, religiously and linguistically diverse people, diverse age groups, diverse sexual orientation, and gender. We are committed to working in partnership with and support Aboriginal and Torres Strait Islander peoples and organisations by recognising and respecting the diversity of cultures, identity, heritage, languages, lores, and social and spiritual systems practiced. We draw pride and strength from you, your colleagues and the world we care for—all backgrounds, beliefs and the entire range of human experience—coming together to bring health to billions.
1 AFR Boss Best Places to Work – 2021 Health Industries The AFR Boss Best Places to Work awards recognise organisations that are pioneering new ways of working and pushing the boundaries when it comes to workplace policies and practices. Johnson & Johnson has been awarded first place under the Health Industry list in 2021. As a leading global healthcare provider, Johnson & Johnson has implemented a COVID-19 Vaccine Policy in Australia which requires all staff to be fully vaccinated for COVID-19 in order to commence work, unless they have a valid exemption. Agencies please note: This recruitment assignment is being managed directly by Johnson & Johnson’s Talent Acquisition team. We will reach out to our preferred agency partners in the rare instance we require additional talent options. Your respect for this process is appreciated. Primary Location Australia-New South Wales-- Organization Janssen-Cilag Pty Ltd (7490) Job Function R&D Requisition ID 2206016414W