ZipRecruiter

Log In

1

Bioinformatics Engineer Jobs in Boston, MA (NOW HIRING)

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

ZS

Bioinformatics Leader

Boston, MA · On-site

$200K - $229K/yr

Deep, hands-on proficiency in bioinformatics tools and programming languages (e.g., Python, R, Nextflow, Snakemake) and experience with cloud-based compute environments * Domain expertise in at least ...

next page

Showing results 1-20

All JobsBioinformatics Engineer JobsBioinformatics Engineer Jobs in Boston, MA

Bioinformatics Engineer information

See Boston, MA salary details

$46.7K

$142.4K

$259.1K

How much do bioinformatics engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for bioinformatics engineer in Boston, MA is $142,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $170,600.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

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

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What Is Bioinformatics Engineering?

A bioinformatics engineer uses various methods for the analysis of complex biological data such as gene sequence and protein absorption. In this career, your job duties include performing detailed data analysis, developing data queries, and presenting your results back to the research team. The qualifications needed for a career as a bioinformatics engineer include a bachelor’s degree in engineering, statistics, computer science, or mathematics. Some employers prefer a master’s degree as well. You also need strong analytical skills and a good understanding of the biosciences.

What are some common challenges faced by Bioinformatics Engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

More about Bioinformatics Engineer jobs
What are the most commonly searched types of Bioinformatics Engineer jobs in Boston, MA? The most popular types of Bioinformatics Engineer jobs in Boston, MA are:
What are popular job titles related to Bioinformatics Engineer jobs in Boston, MA? For Bioinformatics Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineer jobs in Boston, MA look for? The top searched job categories for Bioinformatics Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Bioinformatics Engineer jobs? Cities near Boston, MA with the most Bioinformatics Engineer job openings:
Bioinformatics Engineer jobs near you
Infographic showing various Bioinformatics Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 88% Full Time, 5% Part Time, and 7% Contract. Highlights an 86% In-person, 2% Hybrid, and 12% Remote job distribution, with an average salary of $142,376 per year, or $68.5 per hour.

Oligonucleotide Drug Bioinformatics Engineer

WuXi AppTec

Natick, MA • On-site

Other

Posted 4 days ago

Job description

WuXi Biology is seeking a Bioinformatics Engineer with experience in Oligonucleotide Drug design.

  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.

  • 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.

Apply