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Freelance Bioinformatics Machine Learning Jobs in New York

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

  • Medical

  • Retirement

In addition, bioinformatics analysis of various types of patient genomic, epigenomic and ... machine learning • Prior experience working in CLIA environment is a plus • Experience in ...

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Freelance Bioinformatics Machine Learning information

What does a freelance bioinformatics machine learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a freelance bioinformatics machine learning specialist?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in New York?

The most popular types of Bioinformatics Machine Learning jobs in New York are:

What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in New York?

For Freelance Bioinformatics Machine Learning jobs in New York, the most frequently searched job titles are:

What job categories do people searching Freelance Bioinformatics Machine Learning jobs in New York look for?

The top searched job categories for Freelance Bioinformatics Machine Learning jobs in New York are:

What cities in New York are hiring for Freelance Bioinformatics Machine Learning jobs?

Cities in New York with the most Freelance Bioinformatics Machine Learning job openings:

Freelance Bioinformatics Machine Learning jobs near you

Senior Bioinformatics Analyst (AI/ML for Genomics) | Bioinformatics Resource Center

The Rockefeller University

Manhattan, NY • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
The Rockefeller University is a leading research institution, and they are seeking a Senior Bioinformatics Analyst to design, implement, and deploy AI/ML methods for genomics and multi-omics data. This role focuses on creating robust analytical pipelines that support research across the university's laboratories and providing consultative support and training to researchers.
Responsibilities:
• Design, implement, and maintain AI/ML pipelines for genomics and multi-omics data (RNA-seq, ATAC-seq, ChIP-seq, functional genomics)
• Apply and adapt machine learning and deep learning models (e.g., convolutional and transformer-based architectures) to biological questions in collaboration with investigators.
• Develop interpretable models and attribution analyses (e.g., motif discovery, perturbation and variant-effect analyses) to support biological insight.
• Build, document, and containerize reproducible workflows suitable for shared HPC/GPU environments.
• Provide consultative support and training to researchers using BRC AI/ML tools and pipelines.
• Performs related duties & responsibilities as assigned/requested.
Qualifications:
Required:
• Master’s degree in Bioinformatics, Computational Biology, Computer Science, or a related field
• A minimum of five years of relevant experience applying computational or machine learning methods to biological data.
Preferred:
• PhD in Bioinformatics, Computational Biology, Computer Science, or a related field
• Experience applying deep learning or foundation-model approaches to sequence-based or multimodal genomics data.
• Experience in a core facility or highly collaborative research environment.
• Familiarity with model interpretability for biological insight (motif analysis, attribution methods, TF/RBP modeling).
• Experience working with HPC/GPU resources and job schedulers (e.g., Slurm) and/or cloud-based deployments.
• Track record of contributing to peer-reviewed publications as a computational specialist.
• Interest in mentoring and training researchers in applied AI/ML methods.
Company:
The Rockefeller University is a center for research and graduate education in biomedical sciences, chemistry, bioinformatics, and physics. Founded in 1901, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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