Lead Bioinformatics Programmer & Analyst

ThermoFisher Scientific; México; Remote; MXN 600,000 - 900,000; Full time

Job summary

Thermo Fisher Scientific in Mexico seeks a Senior Programmer Analyst to lead advanced bioinformatics programming for research projects. You will independently lead studies as a senior programmer or collaborate on complex studies, providing training to junior team members.

You will create, validate and maintain SAS programs across data systems, manage timelines, and support bids. The role emphasizes leadership, data integration, and quality control in a pharmaceutical research environment.

Qualifications

• MS/MA in computer science, statistics, biostatistics, mathematics or related field with at least 3 years of experience.
• Bachelor's degree in computer science, statistics, biostatistics, mathematics or related field or equivalent and relevant formal qualification.

Responsibilities

• Act as the lead programmer on selected studies of moderate complexity, coordinating with project leaders and clients to set goals and timelines.
• Independently create, run, maintain and validate programs that transfer data across multiple data management systems and generate summary data and reports using SAS.
• Manage and document assignments to meet timelines and deliver high-quality work, aware of contractual obligations.
• Expand knowledge base and professional skills in programming, tech, clinical trials, and pharmaceutical industry.
• Provide training and guidance to junior team members and contribute to training materials and SOPs.

Skills

SAS

Leadership

Communication

Biostatistics

Education

MS/MA in CS/Statistics/Biostatistics/Mathematics

Bachelor's degree in related field

Job description

Thermo Fisher Scientific in Mexico seeks a Senior Programmer Analyst to lead advanced bioinformatics programming for research projects. You will independently lead studies as a senior programmer or collaborate on complex studies, providing training to junior team members.

You will create, validate and maintain SAS programs across data systems, manage timelines, and support bids. The role emphasizes leadership, data integration, and quality control in a pharmaceutical research environment.