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Principal, Machine-Learning Technology Sales & Solutions (R1039861) in Plymouth Meeting, PA at IQVIA™

Date Posted: 11/14/2018

Job Snapshot

Job Description



Principal, ML Technology Sales & Solutions

Machine Learning and AI Solutions, Real-World & Analytics Solutions (RWAS) Technology


The role

Joining a high-profile and talented team as a consummate technology services sales professional within our RWAS Technology team, you will focus on our world leading software Machine Learning platforms - whose complimentary approaches turn learning health systems from concept to reality - to identify opportunities for customized implementations to meet specific client needs.

Our ML platform together with our portfolio of scalable platforms are used to process & analyse billions of healthcare records. 

Privacy Analytics is an innovative suite of data governance software that enables stakeholders to optimize benefits of the growing volume and availability of new, complex datasets while protecting patient privacy.

E360™ is a comprehensive analytics & software for healthcare research, enabling the curation and real-time analysis for large-scale patient level datasets such as EHR or health plan claims.

Predictive Analytics levers machine learning to address some of healthcare’s most pressing issues, such as under-diagnosis of rare disease.

You’ll be working closely with our RWAS Technology Management Team including RWAS VPs or Directors owning different product lines and software engineering cells, as well as Sales and Principals across Global RWAS and the local business units. You will be key to the RWAS Technology go-to-market strategy and account planning strategy.



Our ideal candidate: Experience

  • Healthcare technology sales in either software or technology services
  • Selling and supporting off-the-shelf and custom healthcare technology solutions, especially related to outcomes research and clinical trials
  • Proven hands-on leadership in healthcare technology innovation
  • Commercial awareness and good understanding of the healthcare, health technology and pharmaceutical industry, gained through experience
  • Proven record in achieving sales in innovative technology offerings.  


Our ideal candidate: Abilities

  • Excellent understanding of technology, especially related to healthcare data

  • Leadership experience and ability to use influencing skills at all levels

  • A collaborative mindset and excellent communication skills

  • Proven ability to build strong business relationships

  • Fluency in English and excellent oral presentation and writing skills.



The team

We are strategic thinkers, innovative technologists, deep subject matter experts and data evangelists who are passionate about driving better performance in healthcare through Machine Learning products. We are collaborative, intellectually curious, entrepreneurial and are encouraged to disrupt how our industry works and how we operate on a daily basis. Plus we have the resource and structure of a large company in an environment where we empower our people to create their own solutions and do their own thing. The Machine Learning & Artificial Intelligence team within the Real-World & Analytics Solutions (RWAS) Technology division is the fastest-growing group of collaborative, enthusiastic, and entrepreneurial individuals.

Eradicating disease and improving global healthcare provide a great sense of purpose for the work that we do. We also have a very collaborative working environment, hands-on leadership and use the latest Agile methodologies at the core of our work. Lastly, and perhaps most importantly, we work with very little legacy technology, allowing our technologists the freedom to innovate with their own ideas and solutions. In our never-ending quest for opportunities to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s advances in areas such as machine learning and cutting-edge statistical approaches. Our efforts improve retrospective clinical studies, under-diagnosis of rare & common diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.

You will join this high-profile team to take to market ML product solutions across disease areas including Oncology, Neurology, Chronic diseases such as diabetes, and a variety of very rare conditions. The Machine Learning & Artificial Intelligence Analytics team work hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWE Solutions team, leveraging a vast variety of anonymous patient-level information from sources such as electronic health records. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.



The Business Unit: Real-World & Analytics Solutions (RWAS) Technology

Real-World & Analytics Solutions (RWAS) is a global, market-leading, fast-growing and highly successful business, focusing upon delivering tangible business results to clients across healthcare value chain internationally, working 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.

The RWAS Technology mission is 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 Real World Evidence, 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 RWES Tech CoE is at the forefront of “Big Data” in healthcare.  Through its mission and skills, the RWES is transforming the way clients create new insights and deliver improved healthcare research and patient outcomes.

IQVIA is an EEO Employer - Minorities/Females/Protected Veterans/Disabled

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.

Whatever your career goals, we are here to ensure you get there!

We invite you to join IQVIA™.

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Job ID: R1039861