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Python Bioinformatics Jobs in Manhattan, NY (NOW HIRING)

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

... in Python, R, shell scripting • Proficiency in Nextflow, Django, Docker and Singularity ... bioinformatic tools, find papers relevant to the subject, assess methods, implement methods, and ...

IBX

Bioinformatician III

Piscataway, NJ · On-site +1

... Python/R/PHP/PERL, and database management. Familiarity with Array and Sequencing based high ... Bioinformatics Proven expertise (2-3 years) in - * Genomic data analysis using contemporary tools.

IBX

Bioinformatician III

Piscataway, NJ · On-site

... Python/R/PHP/PERL, and database management. Familiarity with Array and Sequencing based high ... Bioinformatics Proven expertise (2-3 years) in - * Genomic data analysis using contemporary tools.

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How much do python bioinformatics jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for python bioinformatics in Manhattan, NY is $64.70, according to ZipRecruiter salary data. Most workers in this role earn between $53.32 and $73.51 per hour, depending on experience, location, and employer.

What is a Python Bioinformatics job?

A Python Bioinformatics job involves using Python programming to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this role develop algorithms, write scripts, and use bioinformatics libraries like Biopython to process large datasets efficiently. They often work in research institutions, pharmaceutical companies, or healthcare organizations to support scientific discoveries and advancements in medicine. Strong skills in Python, data analysis, and computational biology are essential for success in this field.

What does a typical workday look like for a Python Bioinformatics professional?

A typical workday for a Python Bioinformatics professional often involves developing and maintaining data analysis pipelines, processing large biological datasets, and interpreting results in collaboration with biologists and other researchers. You'll spend substantial time writing scripts, troubleshooting code, and integrating different bioinformatics tools to address specific research questions. Team meetings and presentations are common, as the role requires frequent interaction with cross-functional colleagues. This dynamic environment offers the opportunity to stay engaged with new technologies and make meaningful contributions to scientific discovery.

What are the key skills and qualifications needed to thrive in the Python Bioinformatics position, and why are they important?

To thrive as a Python Bioinformatics professional, you need a strong foundation in biological sciences, proficiency in Python programming, and experience analyzing complex biological datasets. Familiarity with bioinformatics tools such as Biopython, BEDtools, and databases like NCBI, as well as knowledge of cloud computing platforms and relevant certifications, is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with interdisciplinary teams. These competencies are vital for interpreting biological data accurately, developing reliable pipelines, and advancing research objectives.

What are popular job titles related to Python Bioinformatics jobs in Manhattan, NY? For Python Bioinformatics jobs in Manhattan, NY, the most frequently searched job titles are:
What job categories do people searching Python Bioinformatics jobs in Manhattan, NY look for? The top searched job categories for Python Bioinformatics jobs in Manhattan, NY are:
Python Bioinformatics jobs near you
Bioinformatics Analyst

Bioinformatics Analyst

Albert Einstein College of Medicine

Bronx, NY • On-site, Remote

$65K/yr

Full-time

Posted 5 days ago

Job description

About Us
We are seeking a highly motivated Bioinformatics Analyst to join the research group of Dr. Robert Burk at Albert Einstein College of Medicine. Our group conducts molecular epidemiology and microbiome research with an emphasis on the human microbiome (cervicovaginal, oral, and gut) and HPV-related neoplasia. This role is central to translating large-scale sequencing datasets into rigorous, publication-ready results with direct relevance to chronic disease, cancer prevention and infectious disease research. Our work has been published in high-impact journals such as Nature Communications and Cell. The ideal candidate is an independent problem solver who is comfortable taking ownership of analysis workstreams, building and maintaining reproducible pipelines, and driving projects forward from raw data to interpretable outputs. They should be collaborative, communicate clearly with wet lab and epidemiology teams, and proactively propose analytic approaches that strengthen the science and accelerate progress.
POSITION RESPONSIBILITIES
  • Pipeline development and leadership: Design, implement, document, and maintain end-to-end NGS pipelines for microbiome and HPV genomics applications (e.g., 16S/ITS1 amplicon sequencing, shotgun metagenomics, viral/HPV sequencing, bisulfite sequencing, and viral integration analyses).
  • Large-scale data processing: Perform robust QC, read processing, reference alignment, taxonomic and functional profiling, strain-level analyses where appropriate, and reproducible reporting for cohort-scale datasets.
  • Clinical and epidemiologic integration: Harmonize sequencing outputs with clinical and epidemiologic metadata (including complex longitudinal designs), perform data cleaning and validation, and generate analysis-ready tables.
  • Statistical and computational analysis: Conduct and interpret statistical analyses using R and/or Python, including microbiome-specific methods (alpha/beta diversity, ordination, PERMANOVA, differential abundance) and epidemiologic modeling (regression and related approaches), with publication-quality visualizations.
  • Project leadership and communication: Lead defined analysis workstreams, set realistic milestones, communicate risks and dependencies early, and present progress and results in lab meetings and to collaborators.
  • Troubleshooting and optimization: Diagnose and resolve complex issues (pipeline failures, batch effects, contamination artifacts, inconsistent metadata, compute bottlenecks). Improve robustness, scalability, and runtime efficiency on shared compute environments.
  • Reproducibility and best practices: Use version control (Git), structured documentation, and reproducible execution practices (workflow managers and/or containerization when appropriate). Maintain clear provenance from raw data to results.
  • Scientific contribution: Propose fresh analytic ideas, evaluate new tools and methods, and contribute to interpretation and narrative framing of findings.
  • Manuscripts and grants: Contribute figures, methods text, and analyses for manuscripts and grant applications.

QUALIFICATIONS
Required:
  • Bachelor's degree in bioinformatics, computational biology, biostatistics, epidemiology, computer science, or a related field; Master's or PhD preferred.
  • Strong programming ability in R and/or Python, plus comfort working in a Unix/Linux environment (shell scripting, HPC-style workflows).
  • Demonstrated experience processing and analyzing NGS data, including building or extending pipelines rather than only running existing ones.
  • Solid understanding of basic statistical concepts and the ability to translate scientific questions into appropriate analyses.
  • Track record of independent problem solving, attention to detail, and producing reliable, well-documented outputs.
  • Strong communication skills and a collaborative mindset for working with interdisciplinary teams.

Preferred:
  • Experience in microbiome bioinformatics (16S, ITS1, shotgun metagenomics) and/or viral genomics with familiarity with phylogenetics, or integration-related analyses.
  • Experience working with protected clinical or epidemiologic data and with best practices for data security and governance.
  • Experience analyzing large cohorts and handling confounding, batch effects, and complex study designs (longitudinal, nested case-control, matched studies).
  • Comfort translating analyses into clear figures, methods, and results text suitable for high-impact manuscripts

Practical Experience: The candidate is expected to have practical experience with bioinformatics work (handling NGS reads off the machine, etc.) and be willing and eager to adapt to new approaches. This role will be facilitated with a proactive attitude towards learning and applying new bioinformatics methods and technologies.
Additional Information
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is listed below. Albert Einstein College of Medicine considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer.
Maximum Salary Range
USD $65,000.00/Yr.

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