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Python Biology Jobs in New York (NOW HIRING)

Output, Inc

Head of Biology

New York, NY · On-site

You have strong programming skills in Python, with experience building computational pipelines and analysis tools * You can move between the language of biology and the language of machine learning ...

Output Biosciences

Head of Biology

New York, NY · On-site

You have strong programming skills in Python, with experience building computational pipelines and analysis tools * You can move between the language of biology and the language of machine learning ...

Mercor

Biology PhD - Scientific Coder

New York, NY · On-site +1

$70/hr

Utilize Python , R , or other programming languages for scientific computing. * Work with Git ... PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field.

Output Biosciences

Head of Discovery

New York, NY · On-site

The Role Output has built a biological reasoning model that understands biology at the scale and ... You have programming skills in Python, with the ability to work with data analysis tools and model ...

Output, Inc

Head of Discovery

New York, NY · On-site

The Role Output has built a biological reasoning model that understands biology at the scale and ... You have programming skills in Python, with the ability to work with data analysis tools and model ...

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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 are popular job titles related to Python Biology jobs in New York?

For Python Biology jobs in New York, the most frequently searched job titles are:

What job categories do people searching Python Biology jobs in New York look for?

The top searched job categories for Python Biology jobs in New York are:

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

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

Python Biology jobs near you

Head of Biology

Output, Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision

Re-posted 27 days ago

Job description

The Role
Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one.
Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.
You own the feedback loop between Output's models and the lab. You go deep into specific biological problems, translate what the biology requires into priorities for data and modeling, and manage through CRO partners the experimental cycle that validates model outputs and generates new data.
  • You will own the active learning cycle between Output's models and experimental validation: designing experiments, managing CRO partners for synthesis and testing, interpreting results, and feeding them back to improve the models
  • You will dive into specific biological problem areas, developing the expertise needed to translate nuanced biological requirements into priorities for data construction, modeling, and evaluation
  • You will manage CRO relationships for peptide and molecular synthesis, biological assays, and experimental testing, designing each campaign to generate maximally informative data
  • You will collaborate with the engineering team to design and build biology-specific agent skills and workflows, encoding your biological expertise into tools that automate experimental decision-making
  • You will work closely with the model and data teams, identifying biological phenomena the models should be sensitive to and ensuring that experimental findings shape what and how the models learn
  • You will stay current with biological literature and experimental methods, continuously identifying new biological problems and translating them into opportunities for model development

About You
  • You have a PhD in computational biology, biophysics, structural biology, molecular biology, or a related biological field with 3+ years of post-doctoral or industry research experience
  • You have deep understanding of protein biology, protein-ligand interactions, and how sequence and structure relate to biological function
  • You have experience designing biological experiments and working with CROs for synthesis and experimental validation
  • You have experience working with protein language models or machine learning applied to biological sequences and structures
  • You have strong programming skills in Python, with experience building computational pipelines and analysis tools
  • You can move between the language of biology and the language of machine learning: you understand what models need from data and what experimental results mean for model development
  • You are comfortable going deep into unfamiliar biological problem areas and rapidly developing the expertise needed to guide modeling and experimental decisions

Bonus Points
  • You have structural biology expertise, including protein structure analysis and structure-function relationships
  • You have experience with active learning or iterative experimental design in a computational biology or drug discovery setting
  • You have hands-on wet lab experience
  • You have experience across multiple therapeutic modalities, including peptides
  • You have experience building tools or writing code that automates biological analysis workflows

Our Values
♥ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.
Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.
Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.
Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.
Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.
What We Offer
  • We encourage new and different ideas, creativity and contrarian thinking
  • Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
  • You own your day-to-day management. What we care about is that we all hit our milestones
  • Competitive salary and equity in a growing, well-funded startup
  • Excellent medical, dental, and vision coverage

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