IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.

As a Senior Data Scientist in the  Analytics Center of Excellence (ACOE), you will leverage your creativity and machine learning expertise to help identify areas to apply advanced analytics in different parts of the organization. Working closely with business stakeholders and internal product offerings staff, you will be involved in defining the scope of data science products and the internal analytics roadmap. You will also develop clear, concise communication strategies for explaining relevant machine learning and data science concepts to business stakeholders.

Working with a diverse global team of data scientists and software developers using modern data science languages and tools, you will build prototypes and production quality software components that drive business value. For your project’s specific business problem, you will leverage your deep expertise in machine learning to devise and implement suitable methodologies. You will demonstrate commitment to strong engineering by writing high-quality code and participating in the peer review process. You will be accountable for all aspects of your work, from data analysis and research, to KPI definition, testing and deployment.

Continued involvement in the machine learning community is highly encouraged. You will have opportunities to stay up to date with and participate in the development of the state of the art methods by attending conferences and publishing papers. You will also serve as a mentor and guide junior team members involved in advanced analytics activities and tasks.

Qualifications

•  PhD or Masters degree in STEM related field
•  Minimum of 5-7 years' experience in data science & analytics
•  Minimum of 5-7 years experience in programming languages (Python preferred)
•  Strong theoretical and hands-on experience with statistics and machine learning related      techniques, tools, and methods
•  Ability to wrangle data at scale using tools such as Hive and Spark
•  The ability to read, understand, and explain to others, scientific papers on state-of-the-art machine learning and computer science, as well as the ability to prototype, evaluate and improve the ideas described
•  Experience productionizing and maintaining ML-based automated solutions.    Excellent problem solving and critical thinking skills
•  Excellent written and verbal communication skills, ability to communicate effectively to both technical and nontechnical audiences.
•  Fluent in English

 Bonus

•    Familiar with client-server architecture and microservice architecture
•    Strong knowledge of design patterns and software engineering best practices
•    Healthcare domain experience

IQVIA Real-World Analytical Solutions (RWAS) is a fast-growing and highly successful business, focusing upon delivering tangible business results to clients across healthcare value chain internationallyworking with key decision-makers and business managers. RWAS teams help clients lever complex clinically rich patient-level healthcare datasets to understand healthcare treatment patterns and outcomes to make more informed decisions and deliver results. Our approach is unique in the industry and is defining the way companies can develop and apply RWAS to provide deeper insight about market dynamics, therapy area changes, outcomes research and other scientific insights. We are collaborative, intellectually curious, entrepreneurial, and constantly looking for opportunities to harness the value of RWAS in a constantly evolving industry.

The RWAS Technology & Data Science mission it to deliver world class and globally scalable technology platforms and analytics applied to complex and large scale clinical datasets, to support IQVIA’s ongoing and rapid growth in RWAS Solutions, as well as the development of new product lines - this requires global leadership across technical and data architecture, software development and data visualization, privacy management, analytical methods, data science, machine learning, deep learning and natural language processing (NLP) - building upon 100s of novel technologies and methods either published in peer reviewed journals or patented by our team.

The solutions are delivered to a variety of clients across life-science, government, payor or provider organizations. The CoE also curates the largest collection de-identified Real-World Data in the world, from different patient care settings in 18 countries worldwide – the RWAS Tech CoE is at the forefront of “Big Data” in healthcare.  Through its mission and skills, the RWAS is transforming the way clients create new insights and deliver improved healthcare research and patient outcomes. Our E360™ software suite form the core of our offering, providing an unprecedented single access point to a broad range of data.

Why Join?

Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. In RWAS, you will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry.

You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.

We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.

It's an exciting time to join and reimagine what's possible in healthcare.

Moving healthcare forward. Together. We invite you to join IQVIA™

IQVIA is a strong advocate of diversity and inclusion in the workplace.  We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.  We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.