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Bioinformatics Programmer Analyst Jobs in New York

micro1 AI

Bioinformatics Software Engineer

Yonkers, NY · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Paterson, NJ · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

NYU Langone Health

Senior Data Analyst (PhD)

Manhattan, NY · On-site

$70K - $106K/yr

The laboratory of Aravinda Chakravarti is seeking an experienced bioinformatics programmer and genomics analyst to join our genetics analysis team. This position plays a key role in leading our large ...

NYU Langone Health

Senior Data Analyst (PhD)

Manhattan, NY · On-site

$70K - $106K/yr

The laboratory of Aravinda Chakravarti is seeking an experienced bioinformatics programmer and genomics analyst to join our genetics analysis team. This position plays a key role in leading our large ...

NYULMC

Senior Data Analyst (PhD)

New York, NY · On-site

$70K - $106K/yr

The laboratory of Aravinda Chakravarti is seeking an experienced bioinformatics programmer and genomics analyst to join our genetics analysis team. This position plays a key role in leading our large ...

IBX

Bioinformatician III

Piscataway, NJ · On-site

Bioinformatics Proven expertise (2-3 years) in - * Genomic data analysis using contemporary tools ... Programming Proven expertise (1-2 years) in - 1. PHP7 and/or Python based development. 2. R ...

IBX

Bioinformatician III

Piscataway, NJ · On-site +1

Bioinformatics Proven expertise (2-3 years) in - * Genomic data analysis using contemporary tools ... Programming Proven expertise (1-2 years) in - 1. PHP7 and/or Python based development. 2. R ...

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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 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 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 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 New York?

For Bioinformatics Programmer Analyst jobs in New York, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Programmer Analyst jobs in New York look for?

The top searched job categories for Bioinformatics Programmer Analyst jobs in New York are:

What cities in New York are hiring for Bioinformatics Programmer Analyst jobs?

Cities in New York with the most Bioinformatics Programmer Analyst job openings:

Bioinformatics Programmer Analyst jobs near you
Infographic showing various Bioinformatics Programmer Analyst job openings in New York as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 10% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

Yonkers, NY • Remote

$80 - $110/hr

Part-time

Posted 17 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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