Postdoctoral Positions in the Lab of Paul Avillach
Areas of focus

Phenotype extraction and biomedical ontologies
Summary

The Department of Biomedical Informatics (DBMI) at Harvard Medical School is looking for a Postdoctoral Fellow to help build cutting edge research platforms. The real value in biomedical research lies not in the scale of any single source of data, but in the ability to integrate and interrogate multiple, complementary datasets simultaneously. We are combining clinical and genomics data across different scales and resolutions to enable new perspectives for essential biomedical questions. The research focuses on the development of novel methods and techniques for the integration of multiple heterogeneous clinic cohorts, Electronic Health Records data and multiple types of genomics data to encompass biological observations.

Responsibilities

The Postdoctoral Fellow will be responsible for developing novel methodologies and applications to facilitate high-throughput phenotype extraction, harmonize content with biomedical ontologies and integrate clinical and molecular genomic data.

The diversity of subject matter will require a creative mind and a candidate capable of deploying imaginative strategies and who is dedicated to solving complex and challenging problems within an interdisciplinary environment.

Basic Requirements

Candidates must have a PhD degree (or MD/PhD.) in biomedical informatics, bioinformatics, Computational Biology, computer science, or a related field. Curriculum in and/or experience with standardized ontologies, terminologies, metadata, and related technologies as well as experience in programming and software development will be necessary for this opportunity. The candidate interested in this position must be highly motivated, willing to learn and demonstrate initiative in assigned tasks. Excellent written and verbal communication skills are crucial.

Additional Requirements

Preferred requirements for this position include experience with the Unified Medical Language System (UMLS), statistics, data mining and machine learning. Experience with R, Python, and/or Perl is desirable.

Terms

The position is available immediately and can be renewed annually.

How to apply

Email applications including curriculum vitae, summary statement of personal objective and research interests, PDFs of the best two papers, and the names and email addresses of three references to paul_avillach@hms.harvard.edu

Harvard Medical School is an Equal Opportunity/Affirmative Action Employer.

Women and minorities are especially encouraged to apply.

For additional information contact

http://avillach-lab.hms.harvard.edu/

Paul Avillach, MD, PhD
Assistant Professor
Department of Biomedical Informatics | Harvard Medical School
Children’s Hospital Informatics Program | Boston Children's Hospital
http://chip.org 

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Visualization of biomedical data
Summary

The Department of Biomedical Informatics (DBMI) at Harvard Medical School is looking for a Research Fellow to help us build cutting edge research platforms. We seek an individual to work on our multidisciplinary team of data scientists, medical doctors, and developers. Our team studies large and disparate datasets from the domains of biology, healthcare and social media. The goal of our efforts is to transform healthcare and research to usher in a new age of individualized data driven medicine. 

The Research Fellow will be responsible for developing novel methodologies and applications to help visual causal relationships in bioinformatics data sets. The diversity of subject matter will require a creative mind and a candidate capable of deploying imaginative strategies and who is dedicated to solving complex and challenging problems within an interdisciplinary environment.

Responsibilities
  • Work to understand data about causal relationships in order to develop visualizations.
  • Create prototypes for visualizations and work with software professionals to integrate the work into an existing platform.
  • Perform novel research on bioinformatics data sets and publish any findings.
Basic Requirements

PhD degree (or MD/PhD.) in Biomedical Informatics, Bioinformatics, Computational Biology, Computer Science, Mathematics, or a related field; Curriculum in and/or experience with demonstrated ability to extract insight from large volumes of data using data mining and the creation of effective visualization techniques; Experience in programming and software development; Excellent written and verbal communication skills.

Additional Requirements

Experience with user interaction design; JavaScript; D3 visualization library (or similar); data mining; R, Python, and/or Perl is desirable.

Terms

The position is available immediately and can be renewed annually.

How to apply

Email applications including curriculum vitae, summary statement of personal objective and research interests, PDFs of the best two papers, and the names and email addresses of three references to paul_avillach@hms.harvard.edu

Harvard Medical School is an Equal Opportunity/Affirmative Action Employer.

Women and minorities are especially encouraged to apply.

For additional information contact

http://avillach-lab.hms.harvard.edu/

Paul Avillach, MD, PhD
Assistant Professor
Department of Biomedical Informatics | Harvard Medical School
Children’s Hospital Informatics Program | Boston Children's Hospital
http://chip.org 
http://scholar.harvard.edu/avillach

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