Bioinformatics Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $100 - $130 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 0%

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Mind Moves LLC

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2016

🤖 Artificial Intelligence

💼 Consulting

🏛️ Government

Artificial Intelligence • Consulting • Government

Mind Moves LLC is a Washington DC–based, certified Woman-Owned Small Business (WOSB) that provides human-centered, purpose-driven AI transformation and change-management services. The company positions itself at the intersection of human ingenuity and machine intelligence, offering end-to-end services (strategy through sustainment), advisory engagements, workshops, and contract support for public-sector clients. Core services listed include AI business strategy, AI maturity assessments, product roadmaps, responsible AI design, implementation (including agile software development, cloud, analytics, big data governance), research & development, workforce transition, and organizational design. They explicitly support federal agencies (NIH, EPA, Library of Congress) and offer government contracting roles, emphasizing ethical/ responsible AI, workforce transition, and human-centered digital transformation.

📋 Description

• Design and build synthetic data generation pipelines that replicate the structure and statistical properties of controlled-access datasets • Generate realistic synthetic test and development datasets, including genomic sequence-style data modeled on dbGaP • Apply and tune privacy-preserving techniques, including differential privacy noise injection • Validate synthetic data fidelity through statistical distribution matching, utility-preservation testing, and downstream model performance parity against real-data benchmarks • Assess and document residual privacy risks, including re-identification, linkage, and membership inference • Collaborate with the Red-Team/Adversarial Security Lead and Biomedical Privacy & Gateway Engineer to provide adversarial and edge-case synthetic scenarios • Contribute methodology documentation and data provenance records for institutional Data Access Committee review • Collaborate with cross-functional teams across federal agencies and supporting partners • Work with the Principal Investigator/Technical Lead and broader Mind Moves project team

🎯 Requirements

• Demonstrated experience building synthetic data generation pipelines using statistical modeling, generative models (e.g., GANs, VAEs, diffusion), or agent-based simulation • Experience engineering and transforming large-scale genomic formats, including multi-sample VCFs, PLINK binary sets, or Hail MatrixTables • Experience working with complex, longitudinal clinical and phenotypic data • Advanced proficiency in Python and SQL • Hands-on experience with synthetic data, privacy, and scientific libraries such as Opacus, Diffprivlib, PyTorch, Hail, Polars, or Spark • Data engineering and ETL skills, including pipeline design, schema modeling, and API integration • Knowledge of AI/data governance frameworks such as NIST AI RMF and federal NIH/HHS compliance requirements preferred • Background or experience in biomedical, bioinformatics, or life sciences preferred • Experience taking synthetic data pipelines from proof of concept through production-grade, reusable tooling • Strong communication skills and ability to document methodology and risk assessments for non-technical and institutional stakeholders • U.S. work authorization for 1099 contracting; sponsorship unavailable • Must be eligible to obtain and maintain a federal public trust credential/government badge • Professional working proficiency in English across reading, writing, speaking, and listening • Must be based in EST / the United States

🏖️ Benefits

• Hands-on experience with privacy-preserving data generation for frontier AI/ML pipelines • Opportunity to operate at the intersection of data engineering, privacy, and federal data governance • Mission-driven work with measurable impact on safe AI systems handling sensitive genomic and health data • Remote work arrangement • Flexible contract schedule of 20–25 hours per week • Opportunity to collaborate with federal agencies, NIH stakeholders, Data Access Committees, and supporting partners

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