Bioinformatics Group Leader, Immuno-Oncology – NIBR – Cambridge

328096BR
Sep 21, 2021
USA

Job Description

This is an exciting opportunity to join Novartis Exploratory Immuno-Oncology. We are dedicated to discovering innovative cancer therapeutics and therapeutic formats that transform patients’ lives. The candidate will be responsible to ensure and foster the scientific and operational excellence of the bioinformatics group, thereby defining the bioinformatics strategy for the department, spanning across the immuno-oncology portfolio. The successful candidate will become a member of the leadership team of a dynamic, multidisciplinary discovery group interrogating novel immuno-oncology targets and will be expected to constructively contribute to the overall strategy, portfolio management and operational aspects. The successful candidate will bring computational biology expertise, from target identification through early clinical development that increases our understanding of critical immune and non-immune networks following perturbation of key immune pathways. This position will be ideal for those candidates wishing to combine their interest in immunobiology of cancer with their strong desire to discover and help develop therapeutic approaches at the interface of computational biology and translational drug discovery. By applying innovative and interdisciplinary thinking towards the development of novel computational approaches, the candidate will be responsible for developing cutting-edge methods and integrative analysis to understand the disease. Through excellent coaching and mentoring skills, the candidate is expected to foster talent development within the organization.

This opportunity is located at the Novartis Cambridge site, and will not have the ability to be located remotely.

Your Key Responsibilities:
•Lead the eIO bioinformatics team (3 people)
•Perform and drive innovative analyses
•Work closely with stakeholders throughout the organization to identify opportunities for leveraging company data to drive project solutions, analyze and interpret high-dimensional biological data (e.g., bulk RNAseq, single-cell/CITE RNAseq, CRISPR screens, proteomics) to inform critical project decisions.
•Develop and implement custom state-of-the-art computational methods and data mining strategies to apply to data sets to enhance understanding of key challenges in immuno-oncology drug discovery.
•Use predictive modeling to increase and optimize novel target biology and follow perturbation of immune pathways to deepen our understanding of drug resistance and help devise strategies to overcome them
•Coordinate with different functional teams to implement predictive models and monitor outcomes
•Develop processes and tools to monitor and analyze model performance and data accuracy.
•Formulate testable biological hypotheses and collaborate in the design of rigorous preclinical experiments
•Drive forward multi-disciplinary collaborations and projects, and establish them as needed
•As member of the leadership team of the disease area, identifies and proposes new strategic directions and initiatives that aim at addressing unmet medical needs

Diversity & Inclusion / EEO

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:
•Ph.D. in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science or another quantitative field or master’s with 10 years of experience.
•Track record (2+ years) of successfully leading computational aspects of a large portfolio in drug discovery and translational research in the pharma industry
•Experience in the development of tools for non-bioinformaticians
•Proven ability and willingness to work within and contribute to multidisciplinary teams, as well as excellent organizational and presentation skills.
•Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
•Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
•Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
•Excellent written, verbal communication and problem-solving skills for coordinating across teams
•Relocation Assistance may be available.

Why Novartis?
769 million. That’s how many lives our products touched in 2020. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?

We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.

Imagine what you could do at Novartis!

Commitment to Diversity & Inclusion:
Novartis embraces diversity, equal opportunity, and inclusion. 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.

Join our Novartis Network:
If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
NIBR
EXPLORATORY IMMUNO-ONCOLOGY
USA
Cambridge, MA
Research & Development
Full Time
Regular
No
careers default image
328096BR

Bioinformatics Group Leader, Immuno-Oncology – NIBR – Cambridge

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