Data ScientistMachine Learning Engineer

Data Scientist/Machine Learning Engineer
AI for Healthcare Data Science Team Real World Solutions

IQVIA

The IQVIA AI for Healthcare Data Science team is one of the leading healthcare analytical teams in the provides the opportunity to work with extremely complex data and methodologies in a fast-paced ever-changing seek highly motivated people who truly want to make a difference in the life sciences IQVIA we look for the very best people and then give them meaningful work to do. We dont simply think about careers we think about contributions.

About IQVIA
IQVIA is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles IQVIA offers a broad range of solutions that harness the power of healthcare data domain expertise transformative technology and advanced analytics to drive healthcare forward.

Role Overview
We are looking for an innovative collaborative intellectually curious and entrepreneurial AI Engineer / Data Scientist to join our Healthcare Data Science team based in Philadelphia (King of Prussia). This is an exciting opportunity to join a fast-moving start-up style group within one of the worlds leading human data science companies.

The primary focus of the role is to develop novel healthcare ML solutions on highly complex large-scale medical data and deploy production-grade solutions into a range of internal and external production environments to deliver patient-level alerts to healthcare providers across the world. The role requires close coordination and collaboration with our broader Data Science team (located across the UK and India) and with Consultants in our US team.

A Typical Day Might Include:

• Working with the team and client to shape and develop requirements for answering ambitious life science questions (e.g. can we predict a rare disease diagnosis or an optimal dosing frequency in patients) along with solutions for applying predictive analytics methods within infrastructures specific to each healthcare provider project.
• Addressing those requirements by developing and applying appropriate ETL processes (for cohort and feature creation from the raw data) and machine learning methodology (for constructing predictive models in an unbiased manner).
• Working with clients and engineering teams to plan and execute technical handovers of our algorithms to deliver alerts to the clients healthcare providers.
• Communicating technical concepts and analytical outputs to a diverse set of stakeholders (internal and external).
• Proactively identifying opportunities for innovation and areas for improvement across our project workflow.
• Researching machine learning techniques that could be used to improve our offering.

Ideally You Will Have:

One of the following:

• A PhD in a technical or scientific domain
  OR
• A technical/scientific MSc plus at least two years of experience working in a technical/consulting environment involving machine learning preferably in a commercial setting. OR

• A technical/scientific BSc plus at least five years of experienceworking in a technical/consulting environment involving machine learning preferably in a commercial setting..

Additional qualifications:

• Knowledge and practical experience of applying supervised machine learning methods such as regularised regression ensemble tree-based models (e.g. xgboost) and deep learning methods.
• Strong scientific programming skills (ideally in Python) and software engineering skills (OOP TDD CI/CD Docker MLOps working with large collaborative code bases) and a track record of working on a range of computational challenges in machine learning development and deployment / productionisation.
• A track record of being highly collaborative. This role requires working closely with a diverse cross-functional global team. The ideal candidate enjoys working as part of small project teams and can break down complex technical requirements into tasks that can be completed across geographies (our team has members in India Europe and the US).
• Excellent verbal and written communication skills including ability to present technical concepts clearly (in writing face-to-face discussions and on conference calls) write project analyses pitch ideas effectively and persuasively to clients / internal stakeholders provide stakeholders with timely updates on progress etc.
• A proactive innovative and pragmatic approach to problem solving including independent research and critical thinking knowing when to ask for help and gather input and finding creative solutions to complex methodological and technical problems.
• Excellent organisation skills ability to own complex projects proactively communicate deadlines and potential delays to stakeholders and proven ability to deliver results to deadlines.

Bonus Points For:

• Interest in growing in the long term into a team management role responsible for growing a team and formalising team operations.
• Experience in an informatics/data science team of a healthcare organisation including knowledge of healthcare data EMR integration types of environments used for data solution development/deployment etc.
• PySpark / big data experience.
• Experience in writing your own software packages / tools.
• Knowledge of epidemiology / biostatistics particularly analytical issues relating to studies of treatment effectiveness disease progression adherence healthcare utilisation study design etc.

The Team
Big Data is changing the way that the healthcare world operates and now more than ever the key to better patient outcomes is through better use of technology seamlessly integrated information and analytics.

Our AI for Healthcare team within the Real-World Solutions (RWS) division is a fast-growing group of collaborative enthusiastic and entrepreneurial individuals. We are at the centre of IQVIAs pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve under-diagnosis of rare diseases personalised treatment response profiles disease progression predictions and clinical decision-support tools and have a direct impact on patient care.

You will join this high-profile team to work on ground-breaking problems in health outcomes across disease areas including Ophthalmology Oncology Neurology Chronic diseases (such as diabetes) and a variety of very rare conditions. The team works 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. The data encompasses IQVIAs access to over 530 million anonymised patients as well as bespoke custom partnerships with healthcare providers and payers.

Learn More
Testimonial video featuring Nadea Leavitt Senior Director of AI for Healthcare & MedTech at IQVIA where she talks about why candidates should consider joining our Data Science group at IQVIA:

We Offer

• Competitive compensation and benefits
• A variety of training and development opportunities

We thank all applicants for their interest; however only those selected for an interview will be contacted.

We invite you to joinIQVIA.

Diversity & Inclusion
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 maximise their personal potential.

IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other status protected by applicable law. potential base pay range for this role when annualized is $89400.00 - $223700.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge skills education and experience; location; and/or schedule (full or part-time). Dependent on the position offered incentive plans bonuses and/or other forms of compensation may be offered in addition to a range of health and welfare and/or other benefits.