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Part Time Bioinformatics Machine Learning Jobs (NOW HIRING)

Senior Bioinformatician

Boston, MA · On-site +1

$45.17 - $65.74/hr

... bioinformatics algorithms, machine learning models for building data models and tools using various software and statistical tools to aid in the analysis and interpretation of genetic data, clinical ...

New

This is a part-time, work-study-based opportunity for active students in master's and PhD programs. What You Will Do: * Develop and deploy machine learning and large language models. * Build and ...

... Bioinformatics program. This is an on campus appointment. This position is governed by state and ... Statistics, Data Mining, and Machine Learning; * Knowledge of genetics and cell biology. Additional ...

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Part Time Bioinformatics Machine Learning information

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$59.5K

$94.5K

$149.5K

How much do part time bioinformatics machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for part time bioinformatics machine learning in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

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

The most popular types of Bioinformatics Machine Learning jobs are:

Machine Learning Research Scientist

GroupSolver

San Diego, CA • On-site, Remote

Part-time

Re-posted 8 hours ago


Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.

  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

Basic Qualifications:

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis
  • Algorithm and model development experience for large-scale applications
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java
  • Comfortable working with teams in different time zones, (USA, Europe)
  • Good communication skills, ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

  • Strong understanding of Transformer architecture and Attention mechanisms.
  • 2 years of experience in NLP
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
  • Knows the difference between RNN, CNN, LSTM, GANs.
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.
Employment Type: PART_TIME