Postdoc: Computational Genomics & Single-Cell CRISPR

CVPL

Boston (MA)

On-site

USD 55,000 - 70,000

Full time

14 days+

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Job summary

CVPL is seeking a Postdoc for the Pinello Lab at Massachusetts General Hospital / Harvard Medical School in Boston, Massachusetts. The successful candidate will engage in innovative computational research related to (epi)genomics, single-cell analysis, and CRISPR genome editing. This role requires a Ph.D. in relevant fields and offers opportunities to work on interdisciplinary projects involving machine learning, data mining, and cutting-edge technologies.

The ideal candidate will have publication experience and excellent communication skills, working both independently and in teams. Diversity and equality are core values of our lab, encouraging applications from underrepresented minorities.

Qualifications

  • Expect to receive a Ph.D. soon in relevant fields.
  • Must have excellent communication and writing skills.
  • Experience in bioinformatics and data analysis is preferred.

Responsibilities

  • Work on interdisciplinary projects developing computational approaches.
  • Analyze and integrate sources of genetic and epigenetic variation.
  • Use machine learning and data mining for NGS data analysis.

Skills

Ph.D. in Computer Science, Statistics, Genetics, Bioinformatics, Computational Biology, Mathematics, Physics
First (or co-first) author in scientific publication
Excellent communication and writing skills
Able to work independently and in teams

Education

Ph.D. in relevant fields

Tools

Python
R
Bioinformatics tools and databases

Job description

CVPL is seeking a Postdoc for the Pinello Lab at Massachusetts General Hospital / Harvard Medical School in Boston, Massachusetts. The successful candidate will engage in innovative computational research related to (epi)genomics, single-cell analysis, and CRISPR genome editing. This role requires a Ph.D. in relevant fields and offers opportunities to work on interdisciplinary projects involving machine learning, data mining, and cutting-edge technologies.

The ideal candidate will have publication experience and excellent communication skills, working both independently and in teams. Diversity and equality are core values of our lab, encouraging applications from underrepresented minorities.

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