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Full Time Python Bioinformatics Jobs in Ithaca, NY

All JobsFull Time Python Bioinformatics JobsFull Time Python Bioinformatics Jobs in Ithaca, NY

Full Time Python Bioinformatics information

See Ithaca, NY salary details

$22.2K

$111K

$385.3K

How much do full time python bioinformatics jobs pay per year?

As of May 29, 2026, the average yearly pay for full time python bioinformatics in Ithaca, NY is $111,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $153,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Python Bioinformatics professional, and why are they important?

To thrive as a Full Time Python Bioinformatics professional, you need a solid background in biology or bioinformatics, strong Python programming skills, and typically a degree in a related field such as bioinformatics, computer science, or computational biology. Familiarity with bioinformatics tools (like Biopython), databases (such as NCBI or Ensembl), and version control systems (like Git) is commonly expected. Critical thinking, problem-solving ability, and effective communication are important soft skills for interpreting complex biological data and collaborating with interdisciplinary teams. These skills and qualifications are essential for developing accurate analysis pipelines and driving meaningful research outcomes in the fast-evolving field of bioinformatics.

What are some typical projects a Full Time Python Bioinformatics professional might work on, and how do they collaborate with other team members?

As a Full Time Python Bioinformatics professional, you can expect to work on projects such as developing data analysis pipelines for genomic sequencing, creating visualization tools for biological datasets, or automating workflows for large-scale biological experiments. Collaboration is a key aspect of the role; you will frequently work alongside biologists, data scientists, and software engineers to ensure that computational solutions address scientific questions effectively. Regular meetings to discuss project goals, code reviews, and joint troubleshooting sessions are common, fostering a dynamic and interdisciplinary work environment.

What does a Full Time Python Bioinformatics professional do?

A Full Time Python Bioinformatics professional uses Python programming to analyze and interpret biological data, such as DNA, RNA, or protein sequences. They develop scripts and software tools to handle large datasets, automate workflows, and perform statistical analyses to support research in areas like genomics and drug discovery. Their work often involves collaborating with biologists and other scientists to translate complex biological questions into computational solutions.

What is the difference between Full Time Python Bioinformatics vs Full Time R Bioinformatics?

AspectFull Time Python BioinformaticsFull Time R Bioinformatics
Required CredentialsBachelor's or higher in Bioinformatics, Computer Science, or related; Python proficiency; sometimes certifications in bioinformatics toolsBachelor's or higher in Bioinformatics, Data Science, or related; R programming skills; certifications in statistical analysis
Work EnvironmentResearch labs, biotech companies, healthcare institutionsAcademic research, biotech firms, healthcare settings
Employer & Industry UsageTech-driven bioinformatics roles, data analysis, pipeline developmentStatistical analysis, data visualization, research projects

Both roles involve bioinformatics analysis but differ mainly in programming language focus. Python roles emphasize pipeline development and automation, while R roles focus on statistical analysis and visualization. Your choice depends on your programming expertise and career goals within bioinformatics.

What job categories do people searching Full Time Python Bioinformatics jobs in Ithaca, NY look for? The top searched job categories for Full Time Python Bioinformatics jobs in Ithaca, NY are:
Full Time Python Bioinformatics jobs near you
Machine Learning Engineer - Plant Genomics AI

Machine Learning Engineer - Plant Genomics AI

Boyce Thompson Institute

Ithaca, NY • On-site

$85K - $109K/yr

Full-time

Posted 4 days ago

Job description

Job Type
Full-time
Description
Machine Learning Engineer - Plant Genomics AI
Buckler Laboratory, Boyce Thompson Institute
Position Overview
The Buckler Lab at the Boyce Thompson Institute (BTI) seeks two skilled Machine Learning Engineers to advance our AI research initiatives in plant genetics and genomics. Our lab, based at BTI, Cornell, and USDA-ARS, conducts cutting-edge research working to address three main questions: How can we use genetics to make agriculture more efficient and share those efficiencies globally? How can we reduce the impact of agriculture on the environment? How does genetic variation give rise to phenotypic variation?
Our team develops and maintains sophisticated AI tools and software for genomic analysis and data management, serving our research laboratory, plant breeding programs, and the global genetics research community.
Key Responsibilities
  • Design, train, and evaluate machine learning models for diverse plant genetics applications
  • Deploy production-ready ML models and maintain model performance in operational environments
  • Stay current with state-of-the-art ML methodologies, frameworks, and research developments
  • Support multiple concurrent machine learning projects across various research domains
  • Collaborate with researchers to translate biological questions into ML problem formulations
  • Create compelling data visualizations and communicate results to technical and non-technical stakeholders
  • Contribute to research publications and present findings at scientific conferences

Optimize model performance and computational efficiency for large-scale genomic datasets
What We Offer
Join a world-class research team where your ML expertise will drive breakthrough discoveries in plant genetics and contribute to global food security solutions. Work at the intersection of cutting-edge AI technology and impactful biological research.
Salary Range - $85,000 - $109,000 (within range determined by experience and/or advanced degree)
Remote work option not available, must work onsite in Ithaca, NY
Requirements
Required Qualifications
  • Bachelor's degree in Computer Science, Machine Learning, Bioinformatics, or related field
  • 2-4 years of hands-on experience training and deploying machine learning models
  • Demonstrated proficiency with GPU computing for ML applications
  • Expert-level Python programming skills
  • Extensive experience with modern ML frameworks (PyTorch, HuggingFace, NumPy, scikit-learn)
  • Experience with data preprocessing, feature engineering, and statistical analysis methods for biological data
  • Knowledge of deep learning architectures (CNNs, RNNs, Transformers, etc.)
  • Proficiency in model evaluation and validation techniques (cross-validation, performance metrics, bias detection)
  • Experience with probability and/or applied mathematics, especially with respect to ML/AI modeling
  • Experience handling large datasets and data pipeline development
  • Proven ability to create effective data visualizations and technical reports
  • Strong version control skills using Git
  • Experience with Agile development methodologies and collaborative workflows
  • Proficiency in Linux environments
  • Excellent written and verbal communication skills with ability to explain complex concepts
  • Strong organizational and project management capabilities
  • Demonstrated success working in interdisciplinary team environments
  • Commitment to staying current with rapidly evolving ML landscape

Preferred Qualifications
  • Advanced degree (MS/PhD) in relevant field
  • Experience with additional programming languages (Java, Kotlin, C/C++)
  • Experience with biological/genomic data formats (FASTA, VCF, BAM, etc.)
  • Background in computational biology, bioinformatics, or genomics
  • Experience with cloud computing platforms (AWS, Google Cloud, Azure)
  • Familiarity with MLOps practices and model deployment pipelines
  • Knowledge of statistical genetics or quantitative genetics
  • Experience with distributed computing frameworks
  • Publications in machine learning or computational biology

Salary Description
$85,000 - $109,000

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