Machine Learning Engineer, IQVIA
Health IT and clinical research company
Job no longer available
Health IT and clinical research company
1001+ employees
Job no longer available
1001+ employees
Company mission
To be a catalyst for innovation in healthcare, to drive healthcare forward every day, and make the extraordinary possible for patients.
Role
Who you are
- Master's Degree Master’s Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field
- Several years’ experience working on creating machine learning algorithms
- Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools
- Experience with building, testing, measuring, and deploying machine learning models in production
- Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.)
- Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)
- Previous experience of owning, maintaining, and enhancing software data products
- Attention to clarity of code, ease of development, and correctness of implementations
- Good knowledge of software development best practices including testing, continuous integration, and DevOps tools
Desirable
- Experience with clinical domain and with regulated data
- Previous experience using one or more of the following: Java, C++, Python, R, Go, Kubernetes,
- Used Deep Neural Network libraries such as Tensor Flow or Pytorch
- Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker
- Experience working with large, real-world datasets
- Demonstrated in-depth understanding of product development lifecycle
- Demonstrated aptitude for and interest in peer mentorship
- Experience deploying code into production through CI/CD tools
- Knowledge of biostatistics/life sciences/healthcare technology
- Knowledge of UX principles
- Experience working in the Hadoop ecosystem
- Prior management/mentorship experience
What the job involves
- Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables
- Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale
- Design, build, test, and deliver products from post-prototype to client delivery
- Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
- Facilitates the development of features of models on individual projects and/or products with guidance and support from others
- Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists
- Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed
- Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms
- Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others
- Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery
Salary benchmarks
Our take
IQVIA is a world leader in analytics and clinical research in the life sciences sector. Formed from a merger between IMS Health and Quintiles, it has over 40 years of experience in the sector, growing to become one of the world’s largest contract research organisations, with a network spanning more than 100 countries.
Since its founding, IQVIA has outperformed the market and is focusing on expanding biosimilar firms such as Humira. Humira provides generic drugs from existing medications without needing further data analysis. However, IQVIA’s involvement in new areas of research is likely to offset this trend.
With global medicine spending on track to reach £1.3 trillion by 2025, IQVIA is focusing its efforts on oncology and immunology, the most profitable sectors in pharmaceutical development. It is also building out its technological infrastructure, with a particular focus on artificial intelligence. While it is frank about the limitations of this technology within the sector, it greatly augments the data-handling capabilities of health science teams. Development in this sector is key to IQVIA’s growth plans for 2025 and beyond, which is on track with 2023-24 seeing a massive increase in company share value.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (1 round)
Jun 2013
$1m
GRANT
Total funding: $1m
Company benefits
- Medical, dental and vision coverage
- Telemedicine
- Critical illness coverage
- Prescription coverage
- Disability, accidental death, pet and life insurance
- Employee Assistance Programs
- Mental health support
- Well-being programs and events
- Flexible work environment
- Time off for leisure, personal time and corporate holidays
- Parental leave for birth or adoption
- Paid leave for other life matters (i.e., illness, bereavement, jury duty, military service, etc.)
- Training systems
- AI talent marketplace tool
- Leadership training programs
- Employee recognition programs
- Mentorship programs
- Service awards
- Tuition reimbursement
- Paid volunteer day
- Donation matching
- Employee resource groups
- Office events
- Environmental commitments
- UN Global Impact member
- Retirement and savings plans
- Identity theft protection
- Commuter benefits
Company HQ
Research Triangle, Durham, NC
Leadership
Ari Bousbib
(CEO)Was previously CEO of IMS Health, one of the parent companies of IQVIA. Before that held senior leadership positions at United Technologies Company, including COO of Otis and eventually becoming President of the UTC group with responsibility for 150,000 employees.
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