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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 Aug 19, 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 57% Full Time, 42% Part Time, and 1% Contract. Highlights an 41% Physical, 2% Hybrid, and 57% Remote job distribution, with an average salary of $222,212 per year, or $106.8 per hour.

Senior Bioinformatics Research

Harvard University

Cambridge, MA • On-site

Full-time

Re-posted 9 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

79th of 619 rated colleges and universities

Job description

Position
Details
Title
Senior Bioinformatics Research
School
Harvard Medical School
Department/Area
Perrimon Lab
Position Description
We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc trainees in the lab who are responsible of design and generating such datasets. In addition, this position involves working with DRSC/TRiP functional genomics core, a multi-disciplinary team of biologists, software engineers and bioinformaticians as we develop and leverage technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are not available or are not adequate. 2.) Apply computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery by analyzing multi-omics datasets eg. genomics, transcriptomics, proteomics, metabolomics, and related datasets. 3.) Help develop custom databases, web portals and pipelines for managing raw and processed experimental data as well as reagent identification/designs. 4.) Collaborate closely with Investigator and lab members on research projects including defining the scope of the collaboration, researching the scientific topics and implementing the appropriate bioinformatics solutions that meet project timelines. Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology professionals, and interdepartmental project teams. 5.) Properly document the procedures used in computational analysis, provide the summary reports of results, and contribute to grant and manuscript writing.
Salary and Benefits
This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.
With this appointment, you are represented by the Harvard Academic Workers (HAW) - UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.
Basic Qualifications
Doctoral degree in Bioinformatics or in biology with extensive experience analyzing omics data. Strong background in programming, algorithms and statistics. Familiarity with programming techniques for analyzing data sets and experience working with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and familiarity with scripting languages (bash, Perl). Knowledge of Unix operating system, terminal and bash is a plus. Experience using a compute cluster. Excellent information management skills.
Additional Qualifications
Experience using relational databases, SQL and / or structured data formats. Web programming experience (PHP, Django, JavaScript, JQuery, JSON, REST API) is a plus. Excellent oral and written communication skills as well as the ability to collaborate effectively with a diverse team.
Special Instructions
Contact Information
Claire Yanhui Hu
Contact Email
claire_hu@genetics.med.harvard.edu
Salary Range
Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines.
Minimum Number of References Required
3
Maximum Number of References Allowed
3
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