Bioinformatics scientist

job summary:
Step into a cutting-edge environment where artificial intelligence directly accelerates biomedical discovery. Our state-of-the-art research facility provides a highly collaborative environment designed for seamless remote collaboration across time zones. In this role, you will lead the charge in combining agentic software development with computational biology to uncover critical insights into disease mechanisms and therapeutic targets.

location: Telecommute
job type: Contract
salary: $42.00 - 46.95 per hour
work hours: 9 to 5
education: Masters


responsibilities:

• Collaborate with genetic experts to build agentic AI capabilities that query, connect, and reason across genomic datasets.
• Develop tool-use pipelines that enable AI agents to programmatically access public genetic databases and interpret biological context.
• Design reproducible, modular code that allows scientists to adapt and extend agent workflows for new research questions.
• Ensure AI agent outputs are scientifically grounded, robust, and actionable for target identification.
• Document system architecture, agent workflows, and server configurations to ensure maintainability.
• Work with HPC environments and utilize version control platforms like GitHub to maintain code reproducibility.

qualifications:

Required Skills:

• Degree & Experience: MS + 1 year of experience or a PhD in Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field (3-5 years preferred overall).
• AI & Agentic Frameworks: Demonstrated experience building AI agents, including multi-agent orchestration, tool use, memory, and reasoning pipelines.
• API & Data Integration: Proven ability connecting agents to external APIs, databases, and structured/unstructured data sources.
• Programming & Data Science: Strong Python proficiency; experience with Pandas, Biopython, scikit-learn, and LLM harnesses/frameworks.
• Genetic Concepts: Working knowledge of foundational genetics (laws of inheritance, linkage disequilibrium, population stratification).
• Engineering Standards: Hands-on experience with HPC environments and git-based reproducible code practices (GitHub).

Preferred Skills:

• Genomics Techniques: Experience with GWAS, fine mapping, colocalization, and summary statistics interpretation.
• Biomedical Resources: Familiarity with resources like GWAS Catalog, OMIM, ClinVar, Open Targets, GTEx, multi-omics integration, and biomedical ontologies.
• Advanced AI Architectures: Familiarity with vector databases and Retrieval-Augmented Generation (RAG) for scientific knowledge retrieval.

#LI-ST1

skills: Statistical Programming


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact View email address on click.appcast.io.


Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).


This posting is open for thirty (30) days.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.