Andrew E. Jaffe

About

I’m a data science and computational biology executive with 15+ years of experience building and leading cross-functional data science, machine learning, and computational biology teams — most recently as VP, Head of Data Sciences at Neumora Therapeutics. I translate between data science, life sciences, and clinical sciences to maximize the impact of drug discovery and development programs, from early target discovery through Phase 3 clinical trials.

I’m currently exploring new full-time leadership roles in biotech and pharma, and taking on a limited number of fractional and advisory engagements.

Consulting

Fractional / interim leadership

Embedded, part-time Head/VP of Data Science for biotech companies that need senior leadership without a full-time hire.

Hourly advisory

Strategy sessions and technical review on data science, computational biology, and team-building questions.

Project-based engagements

Scoped projects such as a data science org build-out plan, computational pipeline audit, or genomics data strategy.

Book a 30-min call

Expertise

Data science team leadership AI/ML for clinical development Computational biology & genomics Clinical data science AI/ML for drug discovery

Experience

VP, Head of Data Sciences — Neumora Therapeutics

2020–2026

Led a cross-functional data science, ML, and computational biology team spanning the full drug discovery/development pipeline, from target discovery through Phase 3 neuropsychiatric and neurodegenerative trials. Co-inventor on multiple clinical ML and therapeutic-use patents. Developed fit-for-purpose development strategies to enhance drug response and reduce placebo response using wide array of data modalities.

Group Leader, Data Science & Lead Investigator — Lieber Institute for Brain Development

2013–2020

Built and led a lab of 10+ scientists studying the genomics of brain development and severe mental illness. Principal Investigator on 10 NIH grants totaling $20M+. Published 145+ research articles (H-index 65).

Professor (Adjunct) — Johns Hopkins University

2013–Present

Departments of Psychiatry & Behavioral Sciences and Neuroscience

Education

  • PhD, Epidemiology (Human Genetics/Genetic Epidemiology) — Johns Hopkins Bloomberg School of Public Health, 2011
  • MHS, Bioinformatics — Johns Hopkins Bloomberg School of Public Health, 2011

Publications

145+ peer-reviewed research articles, an H-index of 69, and recognition as a Highly Cited Researcher (top 1% of research, 2018). Full list on Google Scholar.

Andrew E. Jaffe

About

I’m a data science and computational biology executive with 15+ years of experience building and leading cross-functional data science, machine learning, and computational biology teams — most recently as VP, Head of Data Sciences at Neumora Therapeutics. I translate between data science, life sciences, and clinical sciences to maximize the impact of drug discovery and development programs, from early target discovery through Phase 3 clinical trials.

I’m currently exploring new full-time leadership roles in biotech and pharma, and taking on a limited number of fractional and advisory engagements.

Consulting

Fractional / interim leadership

Embedded, part-time Head/VP of Data Science for biotech companies that need senior leadership without a full-time hire.

Hourly advisory

Strategy sessions and technical review on data science, computational biology, and team-building questions.

Project-based engagements

Scoped projects such as a data science org build-out plan, computational pipeline audit, or genomics data strategy.

Book a 30-min call

Expertise

Data science team leadership AI/ML for clinical development Computational biology & genomics Clinical data science AI/ML for drug discovery

Experience

VP, Head of Data Sciences — Neumora Therapeutics

2020–2026

Led a cross-functional data science, ML, and computational biology team spanning the full drug discovery/development pipeline, from target discovery through Phase 3 neuropsychiatric and neurodegenerative trials. Co-inventor on multiple clinical ML and therapeutic-use patents. Developed fit-for-purpose development strategies to enhance drug response and reduce placebo response using wide array of data modalities.

Group Leader, Data Science & Lead Investigator — Lieber Institute for Brain Development

2013–2020

Built and led a lab of 10+ scientists studying the genomics of brain development and severe mental illness. Principal Investigator on 10 NIH grants totaling $20M+. Published 145+ research articles (H-index 65).

Professor (Adjunct) — Johns Hopkins University

2013–Present

Departments of Psychiatry & Behavioral Sciences and Neuroscience

Education

  • PhD, Epidemiology (Human Genetics/Genetic Epidemiology) — Johns Hopkins Bloomberg School of Public Health, 2011
  • MHS, Bioinformatics — Johns Hopkins Bloomberg School of Public Health, 2011

Publications

145+ peer-reviewed research articles, an H-index of 69, and recognition as a Highly Cited Researcher (top 1% of research, 2018). Full list on Google Scholar.