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Bioinformatics Programmer Analyst Jobs in Franklin, MA

ZS

Bioinformatics Leader

Boston, MA · On-site

$200K - $229K/yr

The team brings hands-on scientific expertise, advanced analytics, AI, and strategic consulting to ... Deep, hands-on proficiency in bioinformatics tools and programming languages (e.g., Python, R ...

AA2IT

Bioinformatics Scientist - II

Cambridge, MA

$75/hr

Experience: * 5+ years of hands-on experience in multi-omics data analysis and integration ... Strong programming skills in R, Python, and Bash. * Experience with HPC systems and AWS Cloud (IAM ...

Watershed Informatics

Software Engineer

Boston, MA

Watershed enables scientists to conduct all essential analysis - from lab data to plot - with a single software platform. We have attracted some of the best bioinformatics, engineering, and ...

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How much do bioinformatics programmer analyst jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for bioinformatics programmer analyst in Franklin, MA is $46.98, according to ZipRecruiter salary data. Most workers in this role earn between $36.44 and $57.12 per hour, depending on experience, location, and employer.

What is a Bioinformatics Programmer Analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

What are some common challenges faced by Bioinformatics Programmer Analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

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

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

What job categories do people searching Bioinformatics Programmer Analyst jobs in Franklin, MA look for? The top searched job categories for Bioinformatics Programmer Analyst jobs in Franklin, MA are:
What cities near Franklin, MA are hiring for Bioinformatics Programmer Analyst jobs? Cities near Franklin, MA with the most Bioinformatics Programmer Analyst job openings:
Bioinformatics Programmer Analyst jobs near you

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.

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