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Python Bioinformatics Jobs in Manhattan, NY (NOW HIRING)

Neptune Bio

Computational Biologist

New York, NY · On-site

D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, OR equivalent experience (e.g., BS/MS with ≥3 years of relevant experience). * Proficiency in Python ...

Neptune Bio

Computational Biologist

New York, NY

D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, OR equivalent experience (e.g., BS/MS with 3 years of relevant experience). * Proficiency in Python, R ...

Formation Bio

Senior Data Scientist

New York, NY · Hybrid

$177K - $232K/yr

Strong programming skills, particularly in Python * Extensive experience in multi-modal bioinformatics analysis Preferred Qualifications * Proven expertise in cloud computing environments, including ...

New York University

Post Doctoral Associate

New York, NY · On-site

$85K/yr

Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and ... Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in ...

Co-Sourcing Partners

Applied AI Engineer

New York, NY · On-site

Highly proficient in Python and deep learning libraries (e.g., PyTorch) * Experience with cloud ... Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold) * Experience ...

CoSourcing Partners

Applied AI Engineer

New York, NY · On-site

Highly proficient in Python and deep learning libraries (e.g., PyTorch) * Experience with cloud ... Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold) * Experience ...

New York University

Research Scholar

New York, NY · On-site

$50/hr

Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and ... Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in ...

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How much do python bioinformatics jobs pay per hour?

As of Jun 11, 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.

Is AI going to replace bioinformatics?

AI is a tool that complements bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics professionals. Bioinformatics roles require domain expertise, interpretation skills, and understanding of biological context that AI cannot fully replicate. Professionals in this field should focus on developing skills in programming, data analysis, and machine learning to stay relevant as AI advances.

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.

Is Python enough for bioinformatics?

Python is a widely used programming language in bioinformatics due to its versatility and extensive libraries like Biopython. However, bioinformatics often requires knowledge of other tools, scripting languages, and data analysis techniques to handle complex datasets effectively.

Is Python required for bioinformatics?

Python is widely used in bioinformatics roles because of its simplicity and extensive libraries for data analysis, scripting, and automation. Many bioinformatics jobs require proficiency in Python, along with knowledge of related tools like R or command-line interfaces, to analyze biological data effectively.

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 is Python used for in bioinformatics?

In bioinformatics, Python is used for analyzing biological data, such as DNA, RNA, and protein sequences. It supports tasks like data processing, visualization, and automation through libraries like Biopython and Pandas, making it a popular programming language for researchers in the field.
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

Computational Biologist

Neptune Bio

New York, NY • On-site

Full-time

Posted 9 days ago

Job description

Position Summary
We are seeking a Computational Biologist who is passionate about using data-driven, scalable methods to reveal biological insights. The ideal candidate is an independent thinker with strong computational and quantitative skills, and the ability to collaborate closely with both experimental and computational scientists. You will design, implement, and scale computational pipelines for single-cell perturbation datasets, while contributing to model development and experimental design.
This is a unique opportunity to join a dynamic, interdisciplinary environment and help shape Neptune Bio's computational strategy and infrastructure.
Key Responsibilities
  • Develop, innovate, and maintain advanced computational methods to process, analyze, and interpret large-scale single-cell genomics and perturbation datasets.
  • Collaborate with wet-lab and computational teams to integrate data from diverse experimental modalities and guide experimental design.
  • Build, optimize, and scale data analysis pipelines using modern cloud computing environments (e.g., AWS, GCP, Azure).
  • Contribute to Neptune Bio's data infrastructure, ensuring reproducibility, scalability, and efficient access to large datasets.
  • Stay current with advances in computational biology, machine learning, and scalable infrastructure, applying them to ongoing research challenges.
  • Communicate findings clearly through reports, visualizations, and presentations to multidisciplinary audiences.

Qualification and Education Requirements
You must have:
  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, OR equivalent experience (e.g., BS/MS with ≥3 years of relevant experience).
  • Proficiency in Python, R, and Unix/Linux environments
  • Demonstrated experience in single-cell or multi-omics data analysis.
  • Solid understanding of statistics, data modeling, and modern machine learning approaches.
  • Experience deploying and scaling computational pipelines on cloud platforms (AWS, GCP, or similar).
  • Strong communication skills and enthusiasm for working in a collaborative, fast-paced environment.

Additional preferred experience includes:
  • Background in functional genomics, CRISPR screens, or perturb-seq analysis.
  • Experience integrating multi-source data to derive novel and impactful insights.
  • Expertise in data engineering and reproducible research tools (e.g., Docker, Nextflow, Snakemake) as well as familiarity with cloud-native architectures and distributed compute.
  • Strong publication record demonstrating innovation in computational methods or biological data analysis.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.

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