Job Description
Bringing life-changing medicines to millions of people, Novartis sits at the intersection of cutting-edge medical science and innovative digital technology. As a global company, the resources and opportunities for growth and development are plentiful including global and local cross functional careers, a diverse learning suite of thousands of programs & an in-house marketplace for rotations & project work. With a strong medicines pipeline our current transformation will not just deliver growth for our business but continue to allow us to bring innovative medicines to patients quickly.
The DIA organization in US Innovative Medicines is the Novartis engine for achieving best in class Healthcare provider (HCP) experience and transformative digital patient engagement. The Enterprise Analytics and Data Science group within DIA is seeking a highly motivated machine learning expert and leader to push the frontiers in HCP segmentation and digital patient engagement. The person will possess deep technical expertise in machine learning and its applications in HCP segmentation and digital channel selection for “next best action”. The person will operate as player/coach and leading a team of data scientists centralized across therapeutic areas. In addition to being a technical expert, this person will also engage with commercial partners to bring meaning and context to analytic outcomes, driving actionability of learning and results. The person will partner with other data science organizations in Novartis to develop “best in class” methods/algorithms.
This positions report to the Executive Director, Data Science within the Data, Insights and Analytics team. This leader will work with Integrated Insights, Predictive Analytics & Customer engagement, Finance, Marketing Strategy, and Agency. This person will operate across brands and therapeutic areas in a Center of Excellence model. The person will keep abreast of the latest thinking and best in class methods within the industry
Your responsibilities include, but are not limited to:
• Lead the data science team in the development and implementation of innovative data-driven solutions that drive business growth
• Develop and implement data science strategies that align with the company’s goals and objectives
• Manage and mentor the data science team to ensure the delivery of high-quality work
• Stay up-to-date with the latest advancements in data science and identify opportunities to leverage these advancements to enhance our products and services
• Collaborate with cross-functional teams to ensure the successful implementation of data-driven solutions
• Design, build, and deploy deep learning models using various programming languages such as Python, TensorFlow, and PyTorch
• Take a hands-on role and deliver on highly visible projects
• Bring a “can-do” attitude and teamwork, and inspire others on culture change
• Ensure adaption of data science product with the business users to drive outcome and patient impact
• Develop methodology to measure the impact of Next best actions
This position will be located at the East Hanover, NJ site and will not have the ability to be located remotely.
The pay range for this position at commencement of employment is expected to be between $212,000 and $318,000 per year; however, while salary ranges are effective from 1/1/23 through 12/31/23, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Minimum requirements
What you’ll bring to the role:
• Advanced degree in Computer Science, Engineering, Statistics, or related field
• Minimum of 10 years of experience in data science, with 5+ years of experience in the pharmaceutical industry
• Build and deploy scalable machine learning models using cloud-based services such as AWS and Azure
• Strong understanding of deep learning algorithms, statistics, and recommendation system
• Proficient in programming languages such as Python, Spark, TensorFlow, and PyTorch
• Excellent problem-solving skills and ability to identify creative solutions to complex problems
• Strong leadership skills with experience in managing and mentoring data science teams
• Excellent communication skills and ability to present complex technical concepts to non-technical stakeholders
Why Novartis?
766 million lives were touched by Novartis medicines in 2021, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.
We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what’s possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!
Imagine what you could do here at Novartis!
Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Accessibility and Reasonable Accommodations: Individuals in need of a reasonable accommodation due to a medical condition or disability for any part of the application process, or to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com or call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
COVID-19: While Novartis does not require vaccination at this time, for certain Novartis sites in the US all associates and candidates may be required to either upload an image of their COVID-19 vaccine card demonstrating proof of full vaccination for COVID-19 (or other similar evidence of vaccination) or proof of a negative COVID-19 test taken by the associate or candidate within the past seven days to enter any of our sites and/or customer office or healthcare facility, as well as prior to participating in other work related off-site meetings. Employees working in customer-facing roles must adhere to and comply with customers’ (such as hospitals, physician offices, etc.) credentialing guidelines, which may require vaccination. As required by applicable law, Novartis will consider requests for reasonable accommodation for those unable to be vaccinated. This requirement is subject to applicable state and local laws and may not be applicable to employees working in certain jurisdictions. Please send accommodation requests to Eh.occupationalhealth@novartis.com.
Join our Novartis Network:<./b> If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
EEO Statement
The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.