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Job Requirements of Data analyst - Predictive Sciences Group:
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Employment Type:
Contractor
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Location:
South San Francisco, CA (Onsite)
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Data analyst - Predictive Sciences Group
Careers Integrated Resources Inc
South San Francisco, CA (Onsite)
Contractor
The Opportunity:
Participate in cutting-edge research to predict the immunogenicity of protein-based therapeutics.
Perform literature review and data mining to extract relevant information related to drug immunogenicity from publications, internal documents and internal databases.
You will collaborate closely with cross-functional teams across gRED to solve complex problems in the life sciences, e.g. the relationship between immune response and drug properties.
Program Highlights:
Intensive two year, full-time (40 hours per week) position..
Program start dates are in Oct 2025.
Ownership of challenging and impactful business-critical projects.
Work with some of the most talented people in the biotechnology industry.
Who You Are (Required):
Required Education: Master's Degree
Required Majors: Computational Biology, Bioinformatics, Computer Sciences, Statistics, Pharmacy, or majors related to Biomedical Sciences .
Required Skills: Demonstrated expertise in data mining, literature information extraction and predictive modeling.
Preferred Knowledge, Skills, and Qualifications:
Excellent communication, collaboration, and interpersonal skills.
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
Strong publication record and experience contributing to research communities.
Strong programming skills in Python or R.
Experience working with large language models (e.g. Gemini, ChatGPT) for text mining.
Department Summary:
The Predictive Sciences Group within the Department of Translational PKPD (tPKPD) seeks an exceptional data analyst with a demonstrated research background in data mining and statistical analysis, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.
The Department at Client is a world-class center of excellence for assessing and optimizing the pharmacokinetics, pharmacodynamics and immunogenicity of therapeutics. We enable the development of life-changing medicines.
We do this by fostering an innovative and collaborative environment that values and recognizes diversity of contributions.
The Predictive Science Group within the Department employs forward and reverse translation research to develop in-silico and in-vitro models to accurately predict the clinical immunogenicity and pharmacokinetics of Client therapeutics.
The role is located in South San Francisco, California, with the option to work fully remotely or in a hybrid capacity.
Participate in cutting-edge research to predict the immunogenicity of protein-based therapeutics.
Perform literature review and data mining to extract relevant information related to drug immunogenicity from publications, internal documents and internal databases.
You will collaborate closely with cross-functional teams across gRED to solve complex problems in the life sciences, e.g. the relationship between immune response and drug properties.
Program Highlights:
Intensive two year, full-time (40 hours per week) position..
Program start dates are in Oct 2025.
Ownership of challenging and impactful business-critical projects.
Work with some of the most talented people in the biotechnology industry.
Who You Are (Required):
Required Education: Master's Degree
Required Majors: Computational Biology, Bioinformatics, Computer Sciences, Statistics, Pharmacy, or majors related to Biomedical Sciences .
Required Skills: Demonstrated expertise in data mining, literature information extraction and predictive modeling.
Preferred Knowledge, Skills, and Qualifications:
Excellent communication, collaboration, and interpersonal skills.
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
Strong publication record and experience contributing to research communities.
Strong programming skills in Python or R.
Experience working with large language models (e.g. Gemini, ChatGPT) for text mining.
Department Summary:
The Predictive Sciences Group within the Department of Translational PKPD (tPKPD) seeks an exceptional data analyst with a demonstrated research background in data mining and statistical analysis, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.
The Department at Client is a world-class center of excellence for assessing and optimizing the pharmacokinetics, pharmacodynamics and immunogenicity of therapeutics. We enable the development of life-changing medicines.
We do this by fostering an innovative and collaborative environment that values and recognizes diversity of contributions.
The Predictive Science Group within the Department employs forward and reverse translation research to develop in-silico and in-vitro models to accurately predict the clinical immunogenicity and pharmacokinetics of Client therapeutics.
The role is located in South San Francisco, California, with the option to work fully remotely or in a hybrid capacity.
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