Planet Pharma
Data Analyst Job at Planet Pharma in South San Francisco
Planet Pharma, South San Francisco, CA, US, 94083
Job Description
Data Analyst - Predictive Sciences Group
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 tPKPD Department 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 tPKPD Department employs forward and reverse translation research to develop in-silico and in-vitro models to accurately predict the clinical immunogenicity and pharmacokinetics of novel therapeutics.
The role is located in South San Francisco, California, with the option to work fully remotely or in a hybrid capacity.
The Opportunity
Program Highlights
Who You Are (Required)
Pay Rate Range: $45-55/hr depending on experience
Equal Opportunity Employer: We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
Fraud Alert: Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.
Data Analyst - Predictive Sciences Group
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 tPKPD Department 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 tPKPD Department employs forward and reverse translation research to develop in-silico and in-vitro models to accurately predict the clinical immunogenicity and pharmacokinetics of novel therapeutics.
The role is located in South San Francisco, California, with the option to work fully remotely or in a hybrid capacity.
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 R&D to solve complex problems in the life sciences, e.g. the relationship between immune response and drug properties.
Program Highlights
- 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.
- 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.
Pay Rate Range: $45-55/hr depending on experience
Equal Opportunity Employer: We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
Fraud Alert: Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.