Director and Group Head (AI Methods), AI and Computational Sciences (AICS) at Novartis

Cambridge, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Feb, 26

Salary

361400.0

Posted On

09 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied Mathematics, Artificial Intelligence, Aws, Big Data, Cloud Computing, Data Management, Data Science, Machine Learning, Python, R, Statistical Analysis, Time Series Analysis

Industry

Pharmaceutical Manufacturing

Description

Job Description Summary Novartis has embraced a bold strategy to drive a company-wide digital transformation. Our objective is to position Novartis as an industry leader by proactively adopting digital technologies that foster innovative approaches to hasten drug discovery and development. By utilizing both internal and external R&D data with the power of data science, predictive models, generative AI, and machine learning, our objective is to identify new targets, create more effective therapeutic molecules, better predict drug pharmacokinetics and safety risks, refine clinical trial design, and significantly shorten development cycles. The AICS team leads BR in exploring and applying advanced AI and ML methodologies to generate novel drug discovery insights, and to speed and improve drug discovery efficiency whilst focusing on patients’ needs. AICS partners with drug discovery teams, raises the level of AI expertise across Biomedical Research (BR) and ensures that BR science keeps up with the rapidly evolving ecosystem of AI technologies by connecting with AI leaders in academia and industry. This role leads the AI Methods group within AICS and is tasked with leading a group of scientists with significant expertise and experience in building, fine-tuning optimizing state-of-the-art (SOTA) AI algorithms models that can be applied to aid key domains areas of biomedical research that potentially leads to better drugs, faster. Job Description Key Responsibilities AI Methods Group Lead: Lead a team of AI researchers who specialize in methodological improvisations of AI models Work with AI modelers to ensure models are robust and performant Work with Engineering and Product Development resources to ensure scalability of training and applicability of models Raise the awareness of AI applications to aid in answering key research questions across BR Help position AI-aided drug discovery contributions to deliver and support progress of BR’s portfolio, enable new kinds of therapeutic discoveries, shorten cycle times, and increase efficiency. Collaboration & partnership Act as the primary subject matter expert across BR for building, analyzing and recommending usage of SOTA AI algorithms and models Regularly communicate, engage, align with AICS teams, broader data science community, and senior scientists. Initiate and lead key high-value internal collaborations across BR. Help in bringing synergies on in-housing of SOTA AI models the application of which can bring tangible impact in collaboration with BR DAs and FAs. Essential Requirements 10+ years of significant experience in innovation, development, deployment and continuous support of Machine Learning data management and modeling Expertise in AI algorithmic development and research preferably in biomedical sciences for drug discovery Passion for understanding emerging technologies with pragmatic insight into where those technologies can be integrated into business solutions Ability to balance requirements, manage expectations, and drive effective results using a proactive attitude towards identifying and resolving issues Entrepreneurial spirit with can-do, pro-active attitude Strong organizational, problem-solving, and influencing skills and demonstrated track record of exceptional teamwork Excellent interpersonal, communication, and presentation skills Ability to execute and prioritize well in a complex matrixed environment. Operational and functional leadership Novartis Compensation Summary: The salary for this position is expected to range between $194,600 and $361,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@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. Salary Range $194,600.00 - $361,400.00 Skills Desired Applied Mathematics, Artificial Intelligence (AI), Aws (Amazon Web Services), Big Data, Building Construction, Cloud Computing, Computer Science, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Electrical Transformer, Machine Learning (Ml), Master Data Management, Professional Services, Python (Programming Language), R (Programming Language), Random Forest Algorithm, Statistical Analysis, Time Series Analysis Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people’s lives. In the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov .

Responsibilities

Lead a team of AI researchers specializing in AI model development and ensure the robustness and performance of these models. Collaborate with various teams to enhance drug discovery processes and improve efficiency.