JOHN F. McCARTHY

* ********** ***** • Canton, MA 02021 • 617-***-**** Mobile • 781-***-**** Home

adax3x@r.postjobfree.com http://www.linkedin.com/in/jfmccarthy

SENIOR ADVANCED ANALYTICS AND STRATEGY LEADER

“Skilled in applying AI and machine learning methods to transform big data into actionable strategies”

Throughout my professional career I have been able to contribute unique value to companies by utilizing my interdisciplinary training in advanced analytics, clinical medicine, and biological research to successfully craft innovative solution to a wide assortment of challenging problems. I have built and led productive analytics teams, as well as made many valuable independent contributions toward the development of new products, services, and solutions.

Currently, I am an independent consultant focused on the application of artificial intelligence (AI) methods in both healthcare and the life sciences. My primary interest is in the application of methods such as “deep learning” and predictive and/or causal modeling to extract new knowledge from data and transform it into actionable business strategies.

TECHNICAL SKILLS

Leading and managing multiple teams of interdisciplinary scientists, clinicians, and engineers in the analysis and modeling of a wide variety of heterogeneous data.

Interfacing with clients to understand their analytical needs, develop strategies, and draft project proposals.

Extensive background in R, PYTHON, and SQL.

Experience with Deep Learning, Tensor Flow, Keras, Spark, H2O, and AWS.

CERTIFICATIONS

Active MD License in Massachusetts

EMC2: Data Science and Big Data Analytics Certificate

FutureText: IOT Analytics and Enterprise AI Certificates

Coursera: Neural Networks and Deep Learning Certificate

Coursera: IBM Data Science Professional Certificate

GNS Healthcare: REFS Bayesian Causal Discovery Bootcamp

EMPLOYMENT HISTORY

FOUNDER / CONSULTANT – JFM ANALYICAL HEALTHCARE CONSULTING March 2018 -Present

Canton, MA

CONSULTANT – HEALTH ECONOMICS OUTCOMES RESEARCH (HEOR) Sept 2017 - Feb 2018

GNS Healthcare, Cambridge, MA

Assisted in helping to define a new “value-based “ HEOR product offering for the payer/provider space.

Explored the applicability of Bayesian causal modeling in type 2 diabetes using Real World Evidence (RWE).

CLINICAL HEAD – DATA SCIENCE AND ANALYTICS Jan 2015 - Aug 2017

Intarcia Therapeutics, Boston, MA

Performed biostatistical analysis of ITCA 650 clinical trial data in support of an FDA filing for a new diabetes therapy.

Analyzed the impact of drug adherence on individual health outcomes using RWD from Optum Humedica.

Co-authored publication on treatment satisfaction with ITCA 650 in patients with type 2 diabetes.

ENTREPRENEUR – ANALYTICS AND STRATEGY Sept 2010 - Dec 2014

Canton, MA

Developed business plan and technology strategy for a behavioral weight management platform (SmartLife, LLC).

Developed business plan for a clinical decision support system for mHealth (Rapid Diagnosis, LLC).

DIRECTOR RESEARCH -- COMPUTATIONAL BIOLOGY (layoffs due to restructuring) Oct 2007 - April 2009

Pfizer Global Research and Development, Groton, CT

Applied data science and machine learning algorithms to a set of CSF protein expression levels in a group of Alzheimer’s patients permitting the development of an early predictive biomarker model for the disease.

Headed the development of a novel clustering approach to gather new insights from bacterial genomic sequence data resulting in the identification of several novel vaccine targets.

Led efforts in applying computational approaches to the integration and analysis of genomic, proteomic, metabolomic, and clinical data in identifying early predictive biomarkers and new drug targets in sepsis resulting in more targeted and cost effective utilization of experimental resources.

SENIOR SCIENTIST – ANALYTICS (layoffs due to reduction in demand for services) Jan 2004 - April 2006

Pharsight Corporation, Mountain View, CA

Led the development of nonlinear mixed-effects modeling efforts from early clinical trial data to optimize later trial designs in order to maximize the probability of success and significantly reduce clinical drug development costs for several pharmaceutical clients.

Built and simulated models derived from the clinical trial literature to compare safety and efficacy of potential new therapies with existing treatment options resulting in better informed decisions early in new drug development with substantial cost savings.

DIRECTOR – ANALYTICS (failed to get C round of venture funding, company closed) Feb 2002 - April 2003

AnVil, Inc., Burlington, MA

Led a team that analyzed a health insurance claims database discovering a previously unknown relationship between diabetic foot ulcer treatments and amputation rates that resulted in significant cost savings for the client and attracted the interest of two large pharmaceutical companies.

Led a collaborative effort with the National Cancer Institute which resulted in the publication of an article on predictive modeling for non-small cell lung cancer on the basis of gene expression profiles using multiple machine learning algorithms and proprietary high-dimensional visualization techniques.

DIRECTOR – BIOINFORMATICS (IPO not pursued, group dissolved) Oct 2000 - April 2001

Cellomics, Inc., Pittsburgh, PA

Supervised the development, testing, and successful deployment of CellSpace™ Knowledge Miner, a web-based text analysis tool for mining scientific citations in unstructured text databases, resulting in licensing deals with several major pharmaceutical companies.

NLM FELLOW – BIOMEDICAL INFORMATICS AND ANALYTICS Sept 1997 - May 1999

University of Pittsburgh Center for Biomedical Informatics, Pittsburgh, PA

Acquired background and training in biomedical and clinical informatics. Served as the informatics expert on a site review panel for National Cancer Institute (NCI).

Developed broad data analytics expertise. Strong background in machine learning algorithms, decision theory, Bayesian analysis, linear and logistic regression, as well as classical statistical methods for hypothesis testing.

CLINICAL RESEARCH FELLOW – MOLECULAR BIOLOGY Oct 1994 - Sep 1997

Magee-Womens Research Institute, Pittsburgh, PA

Published the first paper describing changes in maternal leptin concentrations in preeclampsia and suggesting the possibility that alterations in maternal-fetal leptin regulation may play a significant role in the disease process.

Created and taught a graduate level epidemiology course for healthcare professionals at a local college.

EDUCATION

Babson College, F.W. Olin Graduate School of Business, Wellesley, MA

Master of Business Administration

University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA

Master of Public Health (Epidemiology)

University of Illinois, Urbana, IL

Doctor of Medicine / Ph.D. in Biophysics

Current Massachusetts Medical License

University of Connecticut, Storrs, CT

Master of Science in Electrical/Biomedical Engineering

Boston University, Boston MA

Bachelor of Arts in Chemistry and Physics

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