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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 ...

Mass General Brigham

Bioinformatician I

Boston, MA · On-site

$75K - $109K/yr

Essential Functions-Assist in the analysis of biological data using bioinformatics tools and software. -Perform data processing, quality control, and database maintenance. -Collaborate with research ...

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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 8, 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 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.

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 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.
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:
What job categories do people searching Bioinformatics Analyst jobs in Boston, MA look for? 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 $103,542 per year, or $49.8 per hour.

Senior Scientist/Principal Scientist Oligonucleotide Drug Bioinformatics

WuXi AppTec

Natick, MA • On-site

Other

Posted 5 days ago

Job description

Overview
WuXi Biology is seeking a Bioinformatics Scientist (Senior or Principal level) with experience in Oligonucleotide Drug design.
Responsibilities
  1. Oligonucleotide drug design

Responsible for design of small nucleic acid drugs (e.g., siRNA, ASO). Use bioinformatics tools and algorithms to analyze gene expression profiles, variations, and splicing isoforms in biological samples for target selection. Apply machine learning platforms for oligo sequence design. Read and run Python, R, and Bash scripts. Optimize and improve existing design algorithms. Create new design workflows and platforms including design of chemical modifications for oligo drugs. Actively participate in project discussions and reports.
  1. Off-target analysis

Understand and apply principles and algorithms for off-target evaluation. Analyze and interpret high-throughput next-generation sequencing data, including data preprocessing, quality control, alignment analysis, differential expression analysis, and full pathway analysis. Adjust sequence alignment program parameters to meet the needs of short sequence matching.
  1. Data mining and database construction

Use bioinformatics resources from public databases (like NCBI, Ensembl, UniProt, etc.) and combine with the company's internal data to build knowledge bases and databases to accelerate oligo drug discovery.
  1. Cross-department collaboration

Work closely with wet lab drug discovery team including in vitro and in vivo teams, chemistry team, etc., participate in project discussions, support bioinformatics aspects of the projects. Analyze results and obtain insights to improve the bioinformatics models and workflows.
Qualifications
  • PhD in bioinformatics, computational biology, molecular biology, genetics, computer science, CADD, or related fields.
  • More than 5 years of experience in bioinformatics analysis or project experience in small nucleic acid drug development.
  • Good communication skills and team spirit, able to collaborate effectively with team members from different backgrounds.
  • Strong learning and problem-solving abilities, able to quickly grasp new knowledge and technologies.
  • Strong interest in drug development, able to handle work pressure.
  • Good English writing and communication skills, able to use both English and Chinese as working languages.
  • Familiar with bioinformatics databases (like NCBI, Ensembl, UniProt, etc.) and data mining methods.
  • Proficient in bioinformatics analysis tools and software, such as BLAST, Bowtie, SAMtools, DESeq2, Cufflinks, STAR, etc., capable of independently analyzing high-throughput sequencing data.
  • Strong programming skills, proficient in Python or R, able to develop and optimize bioinformatics analysis pipelines. Familiar with Linux systems.
  • Good coding habits, understands version control and how to avoid errors

Additional preferred qualifications:
  • Able to apply machine learning and AI in bioinformatics, with relevant project experience preferred.
  • Ability to use cloud computing for bioinformatics analysis.
  • CADD-related software and skills, such as RDkit, Schrodinger, etc.
  • Experience and skills in multi-omics analysis.
  • Additional programming skills like Perl, C, etc.

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