ML Engineer, Bioinformatics Research (Hybrid)

Placements24; Santiago de Querétaro; Hybrid; MXN 850,000 - 1,350,000; Full time

Benefits offered by this job

Health benefits

Retirement plans

Hybrid work model in Querétaro

Job summary

Placements24 in Querétaro is seeking a highly skilled Machine Learning Engineer with a Bioinformatics specialization to join its cutting‑edge research team. You will apply AI and ML to analyze complex biological data and accelerate discoveries in genomics and proteomics.

Collaborating with biologists, chemists, and data scientists, you will develop predictive models, manage large datasets, and contribute to publications while working in a hybrid model in Querétaro.

Qualifications

• PhD or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or related quantitative field.
• 3+ years of experience applying machine learning to biological data.
• Strong Python programming with libraries such as scikit-learn, TensorFlow, PyTorch, Biopython.
• Solid understanding of genomics, proteomics, and other biological data types.
• Experience with statistical analysis and data visualization.

Responsibilities

• Develop and implement machine learning models for analyzing biological data (e.g., sequence analysis, gene expression, protein structures).
• Collaborate with domain experts to define research questions and data analysis strategies.
• Process, clean, and manage large and complex biological datasets.
• Apply deep learning techniques to biological challenges (e.g., image analysis, pattern recognition).
• Evaluate model performance and interpret results in a biological context.
• Stay current with bioinformatics, computational biology, and ML research.

Skills

ML for biology

Python programming

Data visualization

Interdisciplinary collaboration

Education

PhD or Master in Bioinformatics/Computational Biology/CS/Statistics

Tools

scikit-learn

TensorFlow

PyTorch

Biopython

Job description

Placements24 in Querétaro is seeking a highly skilled Machine Learning Engineer with a Bioinformatics specialization to join its cutting‑edge research team. You will apply AI and ML to analyze complex biological data and accelerate discoveries in genomics and proteomics.

Collaborating with biologists, chemists, and data scientists, you will develop predictive models, manage large datasets, and contribute to publications while working in a hybrid model in Querétaro.