Vice President, Computational Analytics & Artificial Intelligence
Repertoire Immune MedicinesVice President of Computational Analytics and Artificial Intelligence
Repertoire Immune Medicines is a biotechnology company working to unlock and direct the remarkable power of the human immune system to treat cancer and autoimmune disease. The company was founded on the belief that understanding the repertoire of T cell receptor (TCR)-antigen immune synapses that maintain health and drive disease represents one of the greatest opportunities for innovation in medical science. Repertoire scientists created and developed the DECODETM platform, which allows in-depth characterization of TCR-antigen pairs, and the ability to deploy this information in the form of novel targeted immune medicines to fundamentally reprogram the immune system to kill tumors or induce immune homeostasis.
From its sites in Cambridge, Massachusetts and Zurich, Switzerland, Repertoire’s team is advancing a pipeline of DECODE-enabled immune medicines. For cancer, we are developing a pipeline of TCR bispecifics molecules for treatment of multiple cancer types. In addition, we are developing a pipeline of mRNA tolerizing vaccines for treatment of autoimmune diseases.
Repertoire was founded by Flagship Pioneering and is supported by a strong investor base. In addition, the company recently entered a strategic partnership with Bristol Myers Squibb to develop tolerizing vaccines for up to three autoimmune diseases.
Role Overview
Repertoire Immune Medicines is seeking a Vice President of Computational Analytics and Artificial Intelligence to develop and execute the organization’s computational vision and strategy. We are seeking an experienced leader with the proven ability to inspire, innovate, and deliver. The successful candidate will build, lead, and maintain a world-class team of computational scientists, working closely with experimentalists in the DECODE Platform Team to ensure the efficient collection and integration of multi-omics data, and the development and the deployment of analytical methods and models.
The Vice President of Computational Analytics and Artificial Intelligence will be responsible for the deployment of predictive and generative artificial intelligence models that routinely provide novel insights from our extensive and constantly growing immune synapse database. The successful candidate will have strong academic training, demonstrated leadership, and the ability to answer complex biological questions through data science and artificial intelligence. It is critical for the successful candidate to influence across the organization while working in a dynamic, collaborative environment.
Key Responsibilities
Develop the vision for data science and artificial intelligence to drive discovery and support therapeutic development across the organization.
Position Repertoire as a recognized leader in deploying generative artificial intelligence to transform and accelerate discovery and development of immune medicines.
Build and execute the strategy for the computational platform including data collection, architecture design, analysis, modeling, visualization, and application deployment.
Lead the continued development of analytical methods, supervised machine-learning models, and unsupervised models to quantify and/or predict TCR specificity and pMHC stability.
Develop tools that leverage the diverse data within our DECODE database using data mining, analytics, statistics, and machine-learning to provide efficient data slicing, integration, manipulation, visualization, and interpretation to surface novel discoveries.
Provide leadership for the analysis of single-cell sequencing datasets to characterize phenotype, TCR repertoires, and pMHC binding.
Expand and lead a team of machine-learning scientists, computational biologists, bioinformaticians and computational engineers.
Manage and execute multiple projects in parallel, prioritizing team activities to meet short timelines while maintaining scientific rigor.
Provide transparency and regular communication on project status, setbacks, and modification of strategy.
Build and manage a budget.
Represent the computational platform to internal leadership, external partners, academia and investors.
Communicate to a broad audience with a range of technical, analytical, and biological expertise and present strategic roadmap on a regular basis.
Qualifications/Experience
PhD in Computer Science from a top tier academic institution with a significant focus on applying artificial intelligence and machine learning approaches to understanding complex biological systems.
More than 5 years of experience leading machine learning / artificial intelligence-based analytics in a life sciences company.
Visionary leader with a passion for creating key insights into understanding complex biological systems using machine learning / artificial intelligence.
Strong network across industry and academia.
Ability to inspire and influence within and beyond computational teams, including experimental platform scientists.
Proven ability to effectively lead and motivate a team to meet critical timelines while maintaining a productive and collaborative culture.
Demonstrated ability to recruit, hire, and retain a world-class team of computational scientists.
Experience with generative AI.
Mastery of artificial intelligence approaches across architectures, deep learning libraries, and cloud-computing environments.
Fluency in python ML packages (eg. TensorFlow, scikit-learn), SQL, and vector databases with the ability to provide technical guidance in these areas.
Extensive experience integrating, analyzing, visualizing, and modeling large, multi-dimensional datasets.
Excellent communication skills - verbal, written, and presentation - with the ability to communicate effectively across diverse audiences.
Proven ability to successfully influence senior leadership.
Experience presenting to executives, investors, corporate partners, SABs, and/or BODs.
Strong scientific publication record with proven high levels of performance.
Experience filing intellectual property in the field of data science and artificial intelligence.
Repertoire is committed towards social responsibility and developing an inclusive culture. Much as the power of the immune system lies in the diversity of T and B cells, we believe that our work requires the creativity and ingenuity of a diverse workforce, and we are committed to pursuing that in all facets of the work experience at Repertoire. We will continue to educate ourselves about the inequities and barriers present in our society and act as a company where we can make a difference.
Repertoire is proud to be an Equal Opportunity Employer.
Recruitment & Staffing Agencies: Repertoire Immune Medicines (“Repertoire”) does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Repertoire or its employees is strictly prohibited unless contacted directly by Repertoire’s internal Human Resources team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Repertoire, and Repertoire will not owe any referral or other fees with respect thereto.