Data Analyst

Data Analyst ROCGJP00037581

• Hourly pay: $45-$55/hr
• Worksite: Leading biotechnology company (South San Francisco, CA - Onsite)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 12 Month Assignment, Potential conversion

A leading biotechnology company is seeking a Data Analyst to join the team. The successful candidate will lead research efforts to predict the immunogenicity of protein-based therapeutics by performing data mining, literature extraction, and predictive modeling, while collaborating with cross-functional teams to solve complex problems in the life sciences.

Data Analyst Responsibilities:

• Conduct literature reviews and data mining to extract information related to drug immunogenicity from publications, internal documents, and databases.
• Develop and apply predictive models to assess immunogenicity of protein-based therapeutics.
• Collaborate with cross-functional teams to explore the relationship between immune response and drug properties.
• Contribute to innovative research projects focused on forward and reverse translation in drug development.
• Utilize programming tools (e.g., Python or R) for data analysis and model development.
• Apply large language models (LLMs) for text mining and information extraction from scientific literature.

Data Analyst Qualifications:

• Bachelor's degree in Computational Biology, Bioinformatics, Computer Sciences, Statistics, Pharmacy, or majors related to Biomedical Sciences
• Master’s degree required in Computational Biology, Bioinformatics, Computer Science, Statistics, Pharmacy, or a related biomedical science field.
• Proven expertise in data mining, literature information extraction, and predictive modeling.
• Strong programming skills in Python or R for data analysis and model development.
• Experience using large language models (e.g., ChatGPT, Gemini) for text mining applications.
• Excellent communication, collaboration, and interpersonal skills.
• Strong publication record and demonstrated contributions to research communities.