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Bioinformatics Analyst Jobs in Boston, MA (NOW HIRING)

ZS

Bioinformatics Leader

Boston, MA · On-site

$200K - $229K/yr

The team brings hands-on scientific expertise, advanced analytics, AI, and strategic consulting to ... Bioinformatics Leader ZSD's bioinformatics team delivers work spanning multi-omics analysis ...

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Bioinformatics Analyst information

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$7

$49

$89

How much do bioinformatics analyst jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for bioinformatics analyst in Boston, MA is $49.78, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $53.27 per hour, depending on experience, location, and employer.

What does a bioinformatics analyst do?

A bioinformatics analyst works with large databases of omics data, such as genomics studies like the Human Genome Project. Your responsibilities in this career include research on the pathology of diseases and the development of experiments and algorithms to find cures. Your duties also involve ensuring compliance with all federal regulations and protocols. You may document your findings and present them at conferences as well. A career as a bioinformatics analyst requires advanced writing skills for writing scientific literature.

What does a bioinformatics analyst do?

A Bioinformatics Analyst uses computational and statistical methods to analyze biological data, such as DNA, RNA, or protein sequences. They interpret large datasets generated by experiments, develop algorithms, and create visualizations to help researchers understand complex biological processes. Their work supports scientific discoveries in fields like genomics, medicine, and agriculture, often collaborating with biologists, computer scientists, and other researchers.

What are the key skills and qualifications needed to thrive as a bioinformatics analyst, and why are they important?

To thrive as a Bioinformatics Analyst, you need a strong background in biology, statistics, and computer science, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools like BLAST, Python/R programming, and experience with databases such as GenBank or Ensembl are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills enable analysts to extract meaningful insights from complex biological data, driving research and innovation in genomics and healthcare.

What are some common challenges faced by bioinformatics analysts when working with large genomic datasets?

One of the main challenges Bioinformatics Analysts encounter is managing and processing extremely large and complex genomic datasets, which often require advanced computational resources and efficient data management strategies. Ensuring data quality and accuracy while integrating information from various sources can also be demanding. Analysts frequently collaborate with biologists, clinicians, and IT professionals to interpret results and optimize workflows, which requires strong communication and interdisciplinary skills.

What is the difference between Bioinformatics Analyst vs Bioinformatics Technician?

AspectBioinformatics AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related field; experience with data analysis toolsAssociate's or Bachelor's; focus on data processing and laboratory support
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, academic settings
Employer & Industry UsageUsed in research, healthcare, biotech industries for data interpretationUsed for data collection, sample processing, and technical support roles

The main difference is that Bioinformatics Analysts focus on analyzing complex biological data and interpreting results, often requiring advanced degrees. Bioinformatics Technicians typically handle data collection, sample preparation, and technical tasks, supporting analysts and researchers. Both roles are essential in the biotech and healthcare industries, but they differ in responsibilities and required qualifications.

More about Bioinformatics Analyst jobs

What are the most commonly searched types of Bioinformatics Analyst jobs in Boston, MA?

The most popular types of Bioinformatics Analyst jobs in Boston, MA are:

What are popular job titles related to Bioinformatics Analyst jobs in Boston, MA?

For Bioinformatics Analyst jobs in Boston, MA, the most frequently searched job titles are:

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The top searched job categories for Bioinformatics Analyst jobs in Boston, MA are:

What cities near Boston, MA are hiring for Bioinformatics Analyst jobs?

Cities near Boston, MA with the most Bioinformatics Analyst job openings:

Bioinformatics Analyst jobs near you
Infographic showing various Bioinformatics Analyst job openings in Boston, MA 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 $103,537 per year, or $49.8 per hour.

Senior Bioinformatics Research

Harvard University

Cambridge, MA • On-site

Full-time

Re-posted 13 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

82nd of 622 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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