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RA III or Scientist I (AI/ML – Assay Design)
Shift: M-F 1st Shift

Notes:

Position Overview:
We are seeking an innovative Bioinformatics Scientist with expertise in AI/ML to build next-generation, high-throughput primer design systems for company's diagnostic platforms. In this role, you will combine molecular biology, machine learning, and data engineering to develop intelligent pipelines that translate experimental data into improved assay performance.
You will build models that learn from large-scale PCR and sequencing datasets, enabling data-driven optimization of assay design. This role is ideal for someone excited about applying modern ML and AI techniques—including deep learning and emerging language model approaches—to real-world diagnostic challenges.
Key Responsibilities:
Experimental Data Analysis

• Develop scalable pipelines to process and analyze high-throughput PCR and NGS datasets
• Transform raw experimental outputs into structured datasets for modeling
• Engineer biologically meaningful features (e.g., sequence composition, thermodynamics, secondary structure)

Machine Learning Development

• Design, train, and deploy models to predict primer efficiency, specificity, and robustness
• Integrate sequence-derived features, thermodynamic calculations, and experimental outcomes
• Build reproducible ML workflows that support end-to-end assay design automation

Model Iteration & Optimization

• Continuously refine models using newly generated experimental data
• Implement frameworks for iterative learning, model retraining, and benchmarking

AI-Driven Applications

• Develop AI-powered tools to support primer design, assay optimization, and data interpretation
• Apply LLM-based methods for sequence annotation, workflow automation, and design recommendations
• Contribute to reusable internal platforms enabling AI-assisted assay development at scale

Required Qualifications:

• Education:
• Ph.D. (0–2 years), M.S. (2–4 years), or B.S. (3–5+ years) in Bioinformatics, Computational Biology, Data Science, Molecular Biology, or a related field
• Bioinformatics:

Strong foundation in sequence analysis, primer design, and computational biology workflows

• Programming & Data Analysis:

Proficiency in Python, with experience in statistical analysis and experimental data interpretationHands-on experience developing ML or deep learning models using frameworks such as PyTorch, TensorFlow, or scikit-learnPreferred Qualifications:

• Machine Learning:
• Experience with sequence-based modeling or genomic data analysis
• Experience developing or maintaining reproducible bioinformatics workflows (e.g., Nextflow, Bash)
• Experience working in Linux command-line and shared server environments
• Experience using Git (e.g., pull requests, code review, issue tracking)
• Understanding of PCR chemistry and assay design principles

Technical Skills:

• Programming: Python (required), R, Git
• Bioinformatics Tools: Primer3, BLAST, Biopython
• Data & Engineering: Pandas, NumPy, SciPy, pipeline development
• Machine Learning: PyTorch, TensorFlow, scikit-learn, XGBoost, LightGBM
• AI/Automation: LLMs, workflow automation tools, AI-assisted development
• Operating Systems: Linux command-line environments, Linux-based servers, shared computational infrastructure

Why This Role Is Exciting
You will apply AI/ML to molecular biology to design better assays for women’s health and infectious disease detection.

#CNX200

Pay: $60.00 per hour

Benefits:

• Dental insurance
• Health insurance

Education:

• Bachelor's (Required)

Experience:

• eq analysis, primer design, and comput. biology workflows: 3 years (Required)
• Python including statistical analysis : 3 years (Required)
• eveloping ML or deep learning models : 3 years (Required)

Work Location: In person