AI Data Engineer--Peptides and Biologics
Pfizer
6 hours ago
Remote friendly (Cambridge, MA)
United States
IT
Responsibilities:
- Develop, support, and implement a modern data platform for efficient, scalable correlation and analysis of data for biological drug modalities.
- Create data products and machine learning methods for biologics with Pfizer ML experts.
- Process, analyze, and integrate internal in vivo pharmacodynamics and toxicology datasets.
- Curate and integrate relevant public-domain datasets.
- Develop analysis pipelines and roll out data products via data integration.
- Implement, test, and validate new data analysis and visualization methods.
- Drive collaborations with external companies and academic institutions.
- Develop biologics data capture, metadata tagging, and storage strategy with Pfizer’s Digital organization.
- Onboard colleagues; organize workshops, hackathons, trainings, and scientific talks.
- Publish/present work to strengthen external visibility and scientific excellence.
Basic qualifications:
- PhD in Biology, Chemistry, Physics, Statistics, or related field OR Master’s + 2+ years building AI-powered research applications.
- Strong data handling/integration/analysis background.
- Drug discovery/biology expertise, especially large-molecule therapeutics (peptides, siRNA, antisense, mRNA, antibodies).
- Research experience with data products/data integration; interest in computational life sciences.
- Ability to solve complex analyses on time.
- Exceptional Python programming.
- Full-stack development experience; strong Python and database expertise (Postgres, ETL frameworks).
- Strong verbal/written/presentation communication.
Preferred qualifications:
- Nextflow; front-end (TypeScript/React/browser viz).
- PyTorch/Lightning; LLMs/RAG.
- Software engineering (cloud, CI/CD, package development); Python scientific stack.
- Large heterogeneous drug discovery datasets; Claude Code/vibe coding.
- Strong publication record; prototype-to-production experience.
Benefits (explicitly stated): 401(k) with matching, additional retirement contribution, paid vacation/holidays/personal days, caregiver/parental and medical leave, and medical/prescription/dental/vision coverage.
- Develop, support, and implement a modern data platform for efficient, scalable correlation and analysis of data for biological drug modalities.
- Create data products and machine learning methods for biologics with Pfizer ML experts.
- Process, analyze, and integrate internal in vivo pharmacodynamics and toxicology datasets.
- Curate and integrate relevant public-domain datasets.
- Develop analysis pipelines and roll out data products via data integration.
- Implement, test, and validate new data analysis and visualization methods.
- Drive collaborations with external companies and academic institutions.
- Develop biologics data capture, metadata tagging, and storage strategy with Pfizer’s Digital organization.
- Onboard colleagues; organize workshops, hackathons, trainings, and scientific talks.
- Publish/present work to strengthen external visibility and scientific excellence.
Basic qualifications:
- PhD in Biology, Chemistry, Physics, Statistics, or related field OR Master’s + 2+ years building AI-powered research applications.
- Strong data handling/integration/analysis background.
- Drug discovery/biology expertise, especially large-molecule therapeutics (peptides, siRNA, antisense, mRNA, antibodies).
- Research experience with data products/data integration; interest in computational life sciences.
- Ability to solve complex analyses on time.
- Exceptional Python programming.
- Full-stack development experience; strong Python and database expertise (Postgres, ETL frameworks).
- Strong verbal/written/presentation communication.
Preferred qualifications:
- Nextflow; front-end (TypeScript/React/browser viz).
- PyTorch/Lightning; LLMs/RAG.
- Software engineering (cloud, CI/CD, package development); Python scientific stack.
- Large heterogeneous drug discovery datasets; Claude Code/vibe coding.
- Strong publication record; prototype-to-production experience.
Benefits (explicitly stated): 401(k) with matching, additional retirement contribution, paid vacation/holidays/personal days, caregiver/parental and medical leave, and medical/prescription/dental/vision coverage.