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Python Biology Jobs in New York (NOW HIRING)

... of AI and biology Qualifications (required) * Experience with data-centric development and evaluation of ML models * Highly proficient in Python and deep learning libraries (e.g., PyTorch)

Biology - Molecular biology, genetics, biotechnology, and related fields * Chemistry - Organic, inorganic, physical, and analytical chemistry * Virology - Epidemiology, immunology, and infectious ...

Biology - Molecular biology, genetics, biotechnology, and related fields * Chemistry - Organic, inorganic, physical, and analytical chemistry * Virology - Epidemiology, immunology, and infectious ...

You'll work at the intersection of computational biology, machine learning, and drug development ... Strong programming skills, particularly in Python * Extensive experience in multi-modal ...

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Python Biology information

What is a Python biologist?

A Python biologist is a professional who uses the Python programming language to analyze and interpret biological data. They often work in fields like bioinformatics, genomics, and computational biology, developing software tools to process large datasets such as DNA sequences or protein structures. Python biologists help translate complex biological problems into computational solutions, enabling researchers to gain insights that would be difficult to achieve manually.

What are the key skills and qualifications needed to thrive as a computational biologist specializing in Python?

To thrive as a Computational Biologist with a focus on Python, you need a strong background in biology, bioinformatics, and programming, typically supported by a degree in biological sciences, computer science, or a related field. Familiarity with Python libraries like Biopython, NumPy, and pandas, as well as experience with data analysis tools and version control systems such as Git, is essential. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting biological data and collaborating with interdisciplinary teams. These competencies enable accurate data analysis, innovative research, and effective teamwork in advancing biological discoveries.

How do Python biology professionals typically collaborate with interdisciplinary teams in research settings?

Python Biology professionals often work closely with biologists, data scientists, and software engineers to analyze complex biological data. Collaboration usually involves translating biological questions into computational tasks, developing data pipelines, and presenting findings in a way that is accessible to both technical and non-technical stakeholders. Regular meetings and code reviews are common practices, ensuring that the software developed aligns with the scientific goals of the project. This interdisciplinary approach not only enhances research outcomes but also provides valuable learning and growth opportunities for team members.

What is the difference between Python Biology vs Bioinformatics Analyst?

AspectPython BiologyBioinformatics Analyst
Required CredentialsBiology degree, Python programming skillsBiology or related degree, Python and data analysis skills
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, biotech firms, healthcare organizations
Industry UsageData analysis, modeling biological systems using PythonAnalyzing biological data, developing pipelines, interpreting results

Python Biology focuses on applying Python programming to biological research, often emphasizing coding and data modeling. Bioinformatics Analysts combine biological knowledge with data analysis skills, including Python, to interpret complex biological datasets. Both roles require programming skills and work in similar environments, but Python Biology is more research and development-oriented, while Bioinformatics Analysts focus on data interpretation and analysis.

Is Python useful for biology?

Python is widely used in biology-related jobs for data analysis, modeling, and automation of research workflows. Skills in Python, along with knowledge of biological data formats and libraries like Biopython, are valuable for roles in bioinformatics, computational biology, and systems biology.

What cities in New York are hiring for Python Biology jobs?

Cities in New York with the most Python Biology job openings:

Senior Software Engineer, Genomics

simons foundation

New York, NY โ€ข On-site

$134K - $176K/yr

Full-time

Re-posted 18 hours ago


Job description

POSITION SUMMARY

TheCenter for Computational Biology(CCB)is seeking an experienced senior software engineer to join a growing team of developers within CCB and the other centers across the Flatiron Institute who help build andmaintainHumanBase.HumanBaseis a dynamic and interactive web-based platform that supports thousands of biomedical researchers in exploring the molecular mechanisms of human disease. This position is ideal for an experienced engineer with bioinformatics experience who thrives on solving complex problems at the intersection of large-scale data, pipeline building, advanced analytics, and scientific discovery. This is a high-impact role that directly advances the study of human genomics and disease.

The successful candidate will collaborate closely with researchers at the Center for Computational Biology to translatecutting-edgecomputational biology research into scalable production systems and data pipelines that powerHumanBase. This is a hands-onbackendrole for an experienced engineer withexpertisein biological data, genomics, and -omics technologies. They will also have experience processing large-scale -omics datasets,maintainingproduction software systems,designingandoptimizingdata-intensive pipelines, and supporting machine learning workflows in scientific computing environments.

This is a full-time position based in the Simons Foundation offices in New York City. Visit the Simons Foundationcareer pageto learn more.

ESSENTIAL FUNCTIONS/RESPONSIBILITIES

  • Contribute to the design, architecture, and implementation of newHumanBasefeatures and major infrastructure improvements

  • Translate research-stage computational methods into robust, maintainable, and reproducible production software and data pipelines

  • Design, develop, andoptimizescalable genomics and biomedical data processing pipelines that ingest, normalize, and transform heterogeneous datasets

  • Integrate machine learning and statistical methods into production workflows for analysis of complex biological datasets

  • Apply software engineering best practices, including code review, testing, version control, documentation, CI/CD, and deployment automation

  • Collaborate closely with computational biologists, data scientists, and external partners to align engineering efforts with scientific and platform goals

  • Evaluate and adopt emerging technologies in bioinformatics, cloud infrastructure, and scientific computing whereappropriate toimprove platform capabilities and performance

  • Contribute to operational support, maintenance, and continuous improvement of production systems supportingHumanBase

  • Perform other duties or tasks as assigned orrequired

MINIMUM QUALIFICATIONS

Education

  • B.S. in Computer Science, Software Engineering, Bioinformatics, or a related technical field

Experience

  • At least 8 years of professional software engineering experience, including work on production systems and data-intensive applications

  • Demonstrated ability to collaborate effectively with interdisciplinary teams of different technical and scientific backgrounds

  • Extensive experience with Python, including development of complex data pipelines and use of applicable software libraries

  • Experience working with large, heterogeneous biological datasets in Python (HDF5, Parquet,PyArrow,xarray) -ideally in genomics or biomedical contexts

  • Experience building andoperatingdistributed compute workflows and orchestration systems (e.g., Celery,Dask, SLURM,Nextflow,Snakemake) for large-scale genomic or biomedical data processing

  • Strong experience with relational databases such as PostgreSQL or MySQL, including schema design and query optimization

  • Experience with containerization and cloud-native infrastructure technologies such as Docker and Kubernetes

  • Familiarity with machine learning frameworks and tools, including scikit-learn andPyTorch

  • Demonstrated experience with the full software development lifecycle (SDLC), including testing, CI/CD, version control, and deployment

  • Background working in computational biology, bioinformatics, or a related field, with experience developing software that supports biological research

Related Skills & Other Requirements

  • Excellent communication skills, with the ability to engage technical and non-technical audiences, including senior leadership.

  • Strong cross-functional collaboration skills, witha track recordof working effectively with non-engineering stakeholders to translate needs into software solutions.

  • Deep curiosity about science and a passion for building tools that empower scientific discovery.

PREFERRED QUALIFICATIONS

  • Advanced degree in Computer Science, Engineering, Bioinformatics, or a related field.

  • Expertisein bioinformatics, including experience with genomic data processing, analysis pipelines, and related computational methods.

  • Familiarity with AWS or other major cloud platforms.

  • Experience with high-performance computing (HPC) environments.

REQUIRED APPLICATION MATERIALS

  • Please submit a resume and cover letter stating your interest in the position.

COMPENSATION AND BENEFITS

  • The full-time annual compensation range for this position is$160,000-$200,000depending on experience.

  • In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

Our Commitment to Expanding Pathways to Science & Opportunities for All:

Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences. The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world. As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways toscienceand mathematicscareers.

The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law.