Our research is focused on discovering innovative new drugs that will change the practice of medicine. Novartis Institutes for BioMedical (NIBR) is the global pharmaceutical research organization of Novartis. We have an open and entrepreneurial culture, encouraging collaboration to make effective therapies.
At NIBR, our mission is to discover innovative medicines that treat disease and human health. To do that, our scientists need cutting-edge, state-of-the-art computing systems. With NIBR Informatics (NX), NIBR is making a strategic investment into informatics capabilities and is positioning itself to deliver the systems and services that are critical to the future of drug discovery.
The Information Products and Data Sciences (IPDS) group in NX is driven to maximize the impact and value to NIBR of software and data. We deliver powerful, functional, beautiful, and integrated software solutions that create a frictionless user experience. Our organization is here to build and apply excellence in product and data management to further Novartis drug discovery.
Job Description:
As the Head of Data Sciences in IPDS, you will run a team that provides data analysis collaborations to drug discovery teams in NIBR through development and application of new quantitative methods, advanced applications of our scientific software products, and through continual improvement of NIBR scientific data and metadata. You will also identify opportunities to automate data analysis and to make NX products more effective and powerful through application of machine learning and analytic methods.
Responsibilities include but are not limited to:
- Increase impact of and access to NIBR data analysis capabilities
- Support NIBR drug discovery programs through innovative advanced data analysis
- Manage a team of 15 associates
- Increase the quality, usefulness and value of NIBR data
- Increase the impact of NX products
- Support adoption and advanced usage of NX products
EEO Statement
Minimum requirements
- A PhD in data science, computational chemistry, computational biology, statistics or related field
- Ten years or more of experience as a data scientist, computational chemist, computational biologist, statistician or related field
- Five years or more of experience in drug discovery or a core supporting scientific field.
- Proven experience in team building and mentoring
- A track record of impactful data analysis results
Additional required core skills:
- Curious about data and applied expertise in a field such as data science, machine learning, computational chemistry or bioinformatics to answer scientific questions
- Personable and adept at working with a diverse group of colleagues from many disciplines and at all levels of the company.
- A clear and visible set values and demonstrated integrity
- Proven ability to execute consistently, rapidly, and effectively
- Self-motivated
- Outstanding communication skills
- Ability to travel 25%
Position will be filled commensurate with experience
Additional – Leadership / Management Know-How:
As the Head of Data Sciences, you will help your direct reports succeed in their jobs, manage what they are working on, and help them realize their career development goals. Removing obstacles and supporting your team members to prosper and grow will be an important aspect of your role. You will act as a mentor and role model in our organization, seeking, managing and retaining talent.
You are a role model of our Values & Behaviors: you care about patients, focus on what matters most, dare to challenge the status quo & experiment, take smart risks and always put your team before self. You are an inspiration to the associates who work with you. You engage others in our shared purpose and connect associatesâ work with the shared purpose. You ensure you have the right people on your team who live up to our ethics, Values & Behaviors, leadership and culture expectations. You hold people to account and take action when performance and behaviors are not reaching our aspiration. You foster a learning culture within your teams. You are a learner, not a knower, and you are genuinely curious and open-minded. You empower and support others, you create clear accountability, and you remove obstacles for your team. You spend time mentoring and coaching team members. You are always clear, present and focused. You ask for feedback, you make it safe to give you feedback, and you are always looking for ways to improve yourself.
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