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Bioinformatics Postdoc Jobs in Massachusetts (NOW HIRING)

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Bioinformatics Postdoc information

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$53.5K

$222.2K

$436.8K

How much do bioinformatics postdoc jobs pay per year?

As of Sep 6, 2026, the average yearly pay for bioinformatics postdoc in Massachusetts is $222,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $436,800.00 per year, depending on experience, location, and employer.

What is a bioinformatics postdoc?

Bioinformatics postdocs are researchers who have completed their PhD and are engaged in advanced, temporary research positions focusing on bioinformatics. Their work typically involves the application of computational and statistical techniques to analyze biological data, such as genomics, transcriptomics, or proteomics datasets. Bioinformatics postdocs often work in academic, governmental, or industry labs, contributing to projects like disease gene discovery, drug development, or evolutionary studies. These positions are designed to further develop research skills, publish scientific papers, and prepare for independent research or faculty roles.

What are the key skills and qualifications needed to thrive as a bioinformatics postdoc?

To thrive as a Bioinformatics Postdoc, you need advanced knowledge in computational biology, genomics, and statistical analysis, usually backed by a PhD in bioinformatics or a related field. Expertise with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with high-performance computing are typically required. Strong analytical thinking, problem-solving abilities, and effective scientific communication set exceptional candidates apart. These skills and qualities are crucial for driving research innovation, interpreting complex biological data, and collaborating successfully within multidisciplinary teams.

What are some common challenges faced by bioinformatics postdocs when working on interdisciplinary projects?

Bioinformatics Postdocs often collaborate with researchers from diverse backgrounds such as biology, computer science, and statistics. A common challenge is bridging communication gaps between disciplines, as each field has its own terminology and expectations. Additionally, integrating complex biological data with computational pipelines requires both technical expertise and adaptability. Staying current with rapidly evolving bioinformatics tools and ensuring reproducibility of analyses are also key aspects to manage in these collaborative environments.

What are popular job titles related to Bioinformatics Postdoc jobs in Massachusetts?

For Bioinformatics Postdoc jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Postdoc jobs in Massachusetts look for?

The top searched job categories for Bioinformatics Postdoc jobs in Massachusetts are:

Bioinformatics Postdoc jobs near you
Infographic showing various Bioinformatics Postdoc job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $222,212 per year, or $106.8 per hour.

Post Doc - Open Rank

University of Massachusetts Medical School

Worcester, MA • On-site

$62K - $75K/yr

Full-time

Re-posted 5 days ago

Job description

Overview
General Summary of the Position
Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865). The Zhou Lab at UMass Chan Medical School (UMass Chan) develops and applies cutting-edge computational and big-data approaches to understand the genomics, epigenomics, and regulatory functions of noncoding RNAs in human disease. We develop computational methods and scalable pipelines to decode noncoding RNAs and their epigenetic modifications from diverse high-throughput sequencing data, including bulk, single-cell, and long-read sequencing data.
Lab Research:
• AI-Driven Algorithms & Software: Develop deep leering/machine learning/statistical based algorithms to elucidate lncRNAs, fusion transcripts, RNA modifications, and circular RNAs in human genetics and disease, toward developing RNA-based therapeutics.
• Integrative Analysis of Multi-Omics Data: Build end-to-end workflows for bulk and single-cell RNA-seq, long-read sequencing, and epigenomic assays, enabling efficient processing of large-scale multi-omics datasets, and apply them to decipher human diseases.
• Translational Discovery: Integrate computational findings with clinical and genetic data using machine learning/deep learning methods to identify RNA signatures of disease, guiding the development of RNA-based diagnostics and precision-medicine strategies.
The successful candidate will benefit from collaboration with world-class scientists and physicians at UMass Medical Center and in the Greater Boston area, including Harvard/MIT and other prestigious institutes. Dr. Zhou provides tailored mentorship and resources to align postdoctoral training with career goals, whether in academia, industry, or beyond.
Qualifications
REQUIRED QUALIFICATIONS:
  • Ph.D. (or imminent defense) in Computational Biology, Bioinformatics, Computer Science, Applied Mathematics, Statistics, Biophysics, Biomedical Engineering, or a related field.
  • Strong programming skills in at least one of: Python, R, C/C++, or Perl; proficient with Unix/Linux.
  • Experience with deep learning, statistical modeling, or AI applications to biological data.
  • Familiarity with transcriptomic technologies, ideally single-cell RNA-seq or long-read sequencing.
  • Demonstrated ability to conduct independent research and publish as first/co-author.
  • Excellent communication, teamwork, and project-management skills.

Additional Information
Application Instructions
Please email the following to Dr. Chan Zhou at chan.zhou@umassmed.edu (subject line: "Postdoc Application - Your Name"):
  1. Cover Letter: Summarize your research background, interests, and career objectives.
  2. Curriculum Vitae: Include publication list and detailed computational skill set.
  3. References: Contact information for at least two referees (email and phone).

Equal Opportunity Employer
UMass Chan Medical School is committed to fostering a diverse and inclusive environment. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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