Bioinformatics Director

Harvard Medical School Nascent Transcriptomics Core
Nascent Transcriptomics Core
United States MA Boston
academicpositions.harvard.edu/postings/8653

Description

The newly established Nascent Transcriptomics Core at Harvard Medical School is looking for a
Director of Bioinformatics to oversee the development and implementation of data analysis strategies
for nascent and newly synthesized RNA-sequencing assays (such as Start-seq, PRO-seq,
metabolically-labeled RNA-seq). In addition to providing a direct, global read-out of transcription
activity and RNA processing, these assays have emerged as optimal strategies for identification of
regulatory elements such as enhancers and lncRNAs. Thus, this new facility will address the
increasing demand for genomic assays of regulatory elements and will empower clinicians to better
characterize the enhancer landscape in diseased cells and tissues. Given the novelty of such
strategies, the field lacks efficient software tools and pipelines for analysis of nascent RNA-seq,
identification of regulatory elements from these data types, integration with other genomic data sets,
and interpretation of their biological context. The Bioinformatics Director will play a central role in
developing these resources, working with the Adelman lab (adelman.hms.harvard.edu/) and
other HMS groups with relevant expertise.
The Bioinformatics Director will be responsible for establishing data management and analysis
workflows within the Nascent Transcriptomics Core, using the HMS high-performance computing
cluster, O2. This position will have a high degree of independence and will appeal to innovative teamplayers
who are keen to use their skills to contribute to multiple projects in an interactive manner. The
Director is anticipated to establish fruitful collaborations with researchers across the HMS community,
generating data for publications and presentations of their work at national scientific symposia and
workshops.


Qualifications

Candidates should hold a Ph.D. in computational biology, or a related field, have experience in
analytics and development in a high-performance Linux environment, and with a wide variety of tools
for genome analysis and statistics, including R, Python, and SQL. Excellent command of written and
spoken English is essential, as are strong organizational and interpersonal skills. Direct experience
with Next Generation sequencing data is strongly preferred. Salary will be commensurate with
experience.


Start date

As soon as possible

How to Apply

Interested parties should apply using the following link:
academicpositions.harvard.edu/postings/8653