Data Analyst Research I with Predictive, AI, Biomedical Datasets and Agentic
This contract role involves developing predictive models and agentic AI systems using biomedical datasets, including omics and clinical trial data. The position requires expertise in AI prototyping, machine learning, and software engineering within a data science context, preferably with a background in pharmacovigilance or drug safety. The role is fully remote but aligned with Pacific Standard Time working hours, supporting pharma or biotech research initiatives.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Pharmaceuticals & Biotechnology.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is seeking a Data Analyst (Research I) to support predictive modeling, AI prototyping and analysis on biomedical datasets. This is a 14-month W2 contract role that can be performed remotely but prefers candidates in the Pacific Time zone (local to South San Francisco, CA preferred). You will collaborate with cross-functional teams (research scientists, data engineers, product/ML engineers) to turn biomedical data into reproducible analyses and AI prototypes.
- Build, validate and deploy predictive and statistical models for biomedical data (omics, clinical, RWD).
- Prototype agentic AI components and LLM tooling for research workflows.
- Clean, integrate and version-control biomedical datasets; ensure reproducibility and data provenance.
- Convert research prototypes into production-ready analysis pipelines with software engineering best practices.
- Communicate results clearly to scientific and technical stakeholders; produce reproducible reports and visualizations.
- Support pharmacovigilance, drug safety, toxicology or quantitative risk analyses when required.
Key Responsibilities
- Design and implement predictive models and machine learning experiments.
- Develop and test agentic AI prototypes and integrations with LLM/Model Context Protocol (MCP) tooling.
- Preprocess and analyze biomedical datasets (omics, clinical trials, RWD, in vitro/in vivo).
- Maintain code and data in version control; write unit/integration tests for analysis pipelines.
- Work in an Agile prototyping environment and collaborate with software engineers to productionize models.
- Document methods, assumptions, and limitations; present findings to stakeholders.
Minimum Qualifications
- MSc or PhD in Data Science, Computer Science, Computational Biology, Bioinformatics, Biostatistics, Epidemiology, or a closely related quantitative field.
- Hands-on experience with predictive modeling, machine learning, and AI prototyping.
- Proven ability working with biomedical datasets (omics, clinical, RWD or experimental data).
- Programming proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow or similar) and experience with data engineering tools.
- Strong reproducible-research practices (Git, testing, containerization, CI).
- Comfortable working PST hours and collaborating across distributed teams.
Preferred Qualifications
- Background in pharmacovigilance, drug safety, toxicology, or quantitative risk management.
- Prior experience developing agentic AI systems, MCP tooling, or LLM tool integration.
- Pharma/biotech industry experience.
- Experience with cloud platforms (AWS/GCP), orchestration (Kubernetes), and data storage for large biomedical datasets.
- Strong written and verbal communication tailored to scientific and non-technical audiences.
Logistics & Compensation
- Location: South San Francisco, CA (Confidential Client prefers local candidates but will consider remote candidates who can work PST hours).
- Employment type: Contract (W2).
- Duration: Approximately 14 months.
- Rate: $65–$67 per hour (W2). — This range is provided in support of pay-transparency requirements for roles listed in jurisdictions that require a salary range (e.g., CA).
Why Apply via Careertakes
- You’ll be matched with a Confidential Client in the Pharmaceuticals & Biotechnology industry through a specialized third‑party recruiting platform.
- Access to additional matched roles across our network.
- Careertakes supports an equitable hiring process; AI tools may be used to assist with screening but not to make final hiring decisions.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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