Data Scientist - Life Sciences AI / ML

Data Scientist - Life Sciences AI / ML

Zifo · Mexico City, Mexico (Hybrid) · Full-time · Posted 2026-11-11

Workplace: hybrid

Department: Scientific Data Solutions

Description

Location, Mexico City, Mexico

**This role will require regular presence (2-3 times / week) at our office in Mexico City,**

We are looking for a Data Scientist who brings strong hands-on experience applying machine learning, statistical modeling, and optimization techniques to real-world problems — preferably in life sciences, pharma, biotech, or regulated manufacturing environments.

You will work directly with clients, embedded in their scientific and technical teams, owning the full delivery lifecycle: from understanding the problem and acquiring data, through modeling and validation, to deployment and monitoring. You will also contribute to Zifo's internal AI/ML practice, helping shape how we deliver data science across the region.

This is a high-impact, client-facing individual contributor role. The right candidate combines computational rigor with the communication and consulting skills needed to earn trust with technical and non-technical stakeholders alike.

What You Will Do

• Model development: Design, train, and tune machine learning models (supervised and unsupervised) and statistical algorithms to solve client challenges — including anomaly detection, process optimization, batch scheduling, and quality control.

• Optimization: Apply constrained optimization, combinatorial methods, and Monte Carlo simulations to complex operational and manufacturing problems.

• Data analysis: Collect, clean, and analyze large, complex, and often unstructured datasets; translate findings into clear, actionable insights for client stakeholders.

• Statistical modeling: Apply statistical techniques including Bayesian experimental design, feature engineering, and uncertainty quantification to scientific and engineering data.
• Monitoring & alerting: Implement real-time monitoring of data streams and system logs; tune detection thresholds to minimize false positives and surface meaningful signals.
• Cross-functional collaboration: Partner with data engineers, software engineers, scientists, and business stakeholders across the full project lifecycle — from scoping through deployment.
• Generative AI integration: Explore and apply GenAI capabilities to accelerate experimentation, enhance modeling workflows, and unlock efficiencies for clients.
• Best practices: Champion software engineering and data science best practices: reproducibility, version control, documentation, and scalable solution design.
• Communication: Communicate complex analytical findings clearly — in writing and in meetings — to both technical and non-technical audiences, including client leadership.

Requirements

• Experience in life sciences, pharma, biotech, or regulated manufacturing industries.
• Proven hands-on experience delivering data science projects end-to-end, in an industry or consulting setting — not just academic or research contexts.
• Strong proficiency in Python and the data science stack: Jupyter, Pandas, scikit-learn, and relevant ML libraries.
• Solid grounding in statistics and machine learning: model development, validation, and interpretation.
• Experience analyzing large, complex, or unstructured datasets and communicating insights effectively.
• Familiarity with software development best practices: Git, Docker, cloud platforms (AWS preferred), and relational databases (e.g., PostgreSQL).
• Strong communication skills in English and Spanish (written and verbal); ability to work effectively with global teams.
• Ability to manage multiple projects simultaneously and adapt in a dynamic, client-driven environment.

Preferred

• Background in optimization techniques (constrained, combinatorial, convex, discrete).
• Experience with Bayesian methods and experimental design.
• Familiarity with anomaly detection, process monitoring, or quality control applications.
• Exposure to bioinformatics or scientific data pipelines.
• Hands-on experience with Generative AI tools and LLM-based workflows.
• Advanced degree (Master's or PhD) in a quantitative field — statistics, computer science, engineering, mathematics, or related. Equivalent practical experience is equally valued.

Benefits

CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 18 of the Top 20 Biopharma companies. 

We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals.  While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability. 

We offer superior benefits to those outlined by law, a competitive compensation package including accrued vacation, vacation bonus at 40% over 14 days, Fondo de Ahorro, personal days, and a healthy Christmas bonus.

If you share these sentiments and are prepared for the atypical, then Zifo is your calling!

Zifo Mexico is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Zifo Mexico is currently unable to sponsor neither visa nor work permits for non-Mexican citizens/residents.

Apply

Apply at Zifo

---

Powered by Workable