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Bioinformatics Programmer Analyst Jobs in Massachusetts

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 · On-site

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 ...

Watershed Informatics

Infrastructure Engineer

Cambridge, MA · On-site

$117K - $154K/yr

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 ...

Watershed Informatics

Infrastructure Engineer

Cambridge, MA · On-site

$117K - $154K/yr

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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Bioinformatics Programmer Analyst information

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?

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 are popular job titles related to Bioinformatics Programmer Analyst jobs in Massachusetts? For Bioinformatics Programmer Analyst jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Programmer Analyst jobs in Massachusetts look for? The top searched job categories for Bioinformatics Programmer Analyst jobs in Massachusetts are:
What cities in Massachusetts are hiring for Bioinformatics Programmer Analyst jobs? Cities in Massachusetts with the most Bioinformatics Programmer Analyst job openings:
Bioinformatics Programmer Analyst jobs near you

Bioinformatics Scientist - II

AA2IT

Cambridge, MA

$75/hr

Full-time

Re-posted 2 days ago

Job description

Senior Bioinformatics Scientist

Location: Cambridge, MA

Pay Rate: $75/HR - 100/HR

Must Have

Education:

  • Ph.D. in Computational Biology or closely related field — no BS/MS-only candidates will be considered.

Experience:

  • 5+ years of hands-on experience in multi-omics data analysis and integration.
  • Proven work with RNA-Seq, single-cell RNA-Seq, genotype data, spatial transcriptomics, and proteomics (e.g., OLINK).

Technical Skills:

  • Strong programming skills in R, Python, and Bash.
  • Experience with HPC systems and AWS Cloud (IAM, S3, etc.).
  • Experience working with tools like STAR, DESeq2, Seurat, scanpy, LeafCutter, etc.

Data Integration:

  • Able to combine various omics data types (gene/protein expression, mRNA splicing, spatial transcriptomics, genotype).

Communication & Collaboration:

  • Strong written/verbal communication.
  • Self-motivated, adaptable, able to juggle multiple priorities in a dynamic setting.

Nice-to-Have (Preferred Qualifications)

  • Experience with real-world data (e.g., patient-derived data, EHR-linked datasets).
  • Familiarity with spatial transcriptomics analysis tools like squidpy, MERFISH, Slide-seq.
  • Background in statistical or population genetics.
  • Multi-omics data integration (especially RNA-Seq, single-cell RNA-Seq).
  • Strong hands-on coding ability in R and Bash.
  • High-performance computing and cloud (especially AWS).

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