Senior Director, Computational Immunology

Job Description

The Translational Genome Analytics group within the Data and Genome Sciences Department is recruiting a Senior Director to lead a Computational Immunology team, based in Cambridge, MA. We are seeking an experienced data scientist with a proven track-record of leading innovative teams studying human immune biology to discover novel therapeutic targets in immunological diseases.

You will lead a team of computational biologists and data scientists to inform our Immunology drug development pipeline. As such, you will leverage advanced AI/ML approaches to integrate human genetics, deep multi-modal patient profiles and functional genomics data derived from a wide-array of preclinical models to decode causal disease mechanisms across immunological diseases, to inform novel target identification and mechanisms of drug action.

You will serve as a strategic partner to our discovery colleagues and will shape data science and AI/ML driven discovery strategies across our company's immunology portfolio. You will also assume a hands-on leadership role, implementing rigorous data analysis practices, aligning resources based on scientific priorities, and mentoring and developing talented members of the Translational Immunology Analytics team. You will operate in a highly collaborative environment, partnering with peers across multiple locations and in the broader scientific community.

In this exciting role, you will:

• Mentor and hire outstanding computational biologists and data scientists responsible for analysis of a wide variety of patient-derived and preclinical data to advance our company's Immunology portfolio.

• Drive the adoption of cutting-edge and scalable computational biology and data science approaches to integrate muti-resolution (bulk, single cell, spatial) transcriptomic and epigenomic profiling data derived from patient tissues and preclinical models to decode disease biology across immunological diseases

• Identify and establish advanced AI/ML approaches to leverage single-cell multi-omics data to decode cell-type specific molecular networks with the goal of novel target and biomarker discovery in immunological diseases

• Continually enhance our foundational immunology data assets by building upon existing and expanding collaborations with academia and industry partners

• Collaborate with internal peers in diverse functional areas (Immunology, Information Technology, in vitro and in vivo pharmacology, chemistry, chemical biology and biologics) in a matrixed environment to develop research plans, optimize resource allocation, and maximize efficiencies to best execute on programs

• Clearly communicate results to project teams, our company's scientific community, and the external scientific community through internal documents, presentations, and publications in leading journals

Required Experience and Skills:

• Ph.D. plus a minimum of 7 years post-doctoral research experience

• A solid track record of 4+ years building/leading high-performance computational and AI/ML teams and developing top data science talent in biopharma or related industry

• Demonstrated expertise to decode immune-related disease biology by leveraging advanced machine learning and/or statistical inference frameworks to analyze multi-modal (transcriptomic, epigenomic) and multi-scale (bulk, single-cell and/or spatial) patient-derived data

• Experience with in applying state-of-the-art analytic approaches to leverage preclinical functional genomics approaches (e.g., pooled/arrayed CRISPR screens, PerturbSeq, etc) to decode causal disease biology

• Strong ability to code in R/Python and best practices for reproducible data analyses

• Deep understanding of complex immunological disorders with knowledge of the latest research and trends in the field

• Strong ability to work and influence in complex matrixed organizations

• Excellent oral and written communication skills

• Ability to establish and maintain productive cross-site and high caliber external collaborations

Preferred Experience and Skills:

• Familiarity with high-throughput siRNA/CRISPR/chemical screens in translationally-relevant preclinical models of immunological diseases

• Familiarity with animal models of immune-mediated diseases

• Familiarity with drug discovery across multiple modalities (e.g., small molecule, biologic, etc.)

NOTICE FOR INTERNAL APPLICANTS

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