2X Director, Data Science job vacancy in Novartis (East Hanover, NJ 07936)

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Company name : Novartis
Location : East Hanover, NJ 07936
Position : 2X Director, Data Science

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.

These two 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:

You will build predictive models to identify and engage with the most valuable physicians.
You will develop optimized channel selection models to identify digital channels and publishers through which Novartis can engage with physicians
Provide machine learning technical leadership through a proactive, unbossed approach to a community of analytics professionals.
Collaborate with cross-functional teams across data, Integrated insights, predictive Analytics & Custom-er engagement, vendors and other Novartis teams for developing best in class machine learning models and ML operations at scale.
Keep abreast of latest developments in the field and mentor data scientists.
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
Build models for advanced segmentation and patient identification

“The ideal location for this role is our East Hanover site but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover site for periodic live meetings will be at the employee’s expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position may require up to 20% travel. This is a US based position. No international relocation will be provided for this position. ”

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.

Minimum requirements

What you’ll bring to the role:

7 or more years of experience in building predictive machine learning models either in the commercial or biomedical space.
Previous experience in either pharma, biotech, healthcare or consumer products.
Expertise in R or Python. Advanced knowledge of querying languages. Knowledge of Auto-ML plat-forms such as Dataiku or DataRobot
Ability to tell a story with data using visualization tools.
Experience and deep understanding of Pharmaceutical data sets
Know how in building DS products at industrial scale, including knowledge of ML operations

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: 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

#LI-NOV = Novartis



Business Unit




Work Location

East Hanover, NJ

Company/Legal Entity

Novartis Pharmaceuticals

Functional Area

Data Science

Job Type

Full Time

Employment Type


Shift Work


Early Talent


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Linda Martin: Linda, a renowned management consultant, offers strategies for leadership, team building, and performance management in her blog.