Ingeniero de Machine Learning (Bioinformática) en Querétaro City

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

About the Role

Our client is seeking a highly skilled Ingeniero de Machine Learning with a specialization in Bioinformática to join their cutting-edge research team in Querétaro City, Querétaro . This role is pivotal in applying advanced AI and machine learning techniques to analyze complex biological data, accelerating discoveries in areas such as genomics, proteomics, and drug development. You will work closely with biologists, chemists, and data scientists to develop predictive models and uncover insights from large-scale datasets. The ideal candidate possesses a strong foundation in both machine learning and computational biology, with proven experience in applying these skills to solve biological problems. This is a unique opportunity to contribute to significant advancements in life sciences and healthcare through the power of AI. We are looking for a passionate, analytical individual eager to tackle challenging biological questions with innovative computational approaches. Your expertise will be key in developing novel AI-driven solutions that have a real-world impact. Join us to innovate at the intersection of AI and Bioinformática in Querétaro City .

Key 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, such as image analysis or pattern recognition.
• Evaluate model performance and interpret results in a biological context.
• Stay current with the latest research in bioinformatics, computational biology, and machine learning.
• Contribute to scientific publications and presentations.
• Ensure reproducibility and best practices in data analysis and modeling.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• 3+ years of experience in applying machine learning to biological data.
• Strong programming skills in Python and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Biopython).
• Solid understanding of biological concepts and data types (genomics, proteomics, etc.).
• Experience with statistical analysis and data visualization.
• Familiarity with bioinformatics tools and databases.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative, interdisciplinary team.

Benefits

Our client offers a competitive salary, comprehensive health benefits, retirement plans, and significant opportunities for career advancement and professional development. Working in a hybrid model in Querétaro City, Querétaro , provides a balance of collaboration and flexibility. Employees benefit from a dynamic research environment, access to state-of-the‑art computational resources, and the chance to work on high‑impact scientific projects. Additional benefits include performance bonuses, generous paid time off, and support for attending leading scientific conferences and workshops. Be part of a mission-driven team dedicated to scientific discovery.