Job Description
Job Title: RA III or Scientist I (AI/ML Assay Design)
Pay Rate: $60/hr.
Location: San Diego, CA 92121
Duration: Approved until 7/18/2027
Position Overview:
We are seeking an innovative Bioinformatics Scientist with expertise in AI/ML to build next-generation, high-throughput primer design systems for our 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 techniquesincluding deep learning and emerging language model approachesto real-world diagnostic challenges.
Key Responsibilities:
Experimental Data Analysis
You will apply AI/ML to molecular biology to design better assays for womens health and infectious disease detection.
Pay Rate: $60/hr.
Location: San Diego, CA 92121
Duration: Approved until 7/18/2027
Position Overview:
We are seeking an innovative Bioinformatics Scientist with expertise in AI/ML to build next-generation, high-throughput primer design systems for our 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 techniquesincluding deep learning and emerging language model approachesto 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)
- 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
- Continuously refine models using newly generated experimental data
- Implement frameworks for iterative learning, model retraining, and benchmarking
- 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
- Education:
Ph.D. (02 years), M.S. (24 years), or B.S. (35+ 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 interpretation - Machine Learning:
Hands-on experience developing ML or deep learning models using frameworks such as PyTorch, TensorFlow, or scikit-learn
- 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
- 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
You will apply AI/ML to molecular biology to design better assays for womens health and infectious disease detection.
Numbers & Facts
| Location | San Diego, CA |
| Industry | Staffing/Employment Agencies |
| Company Size | 500 to 999 employees |
| Year Founded | 1999 |
| Website | https://www.csetalent.com/ |
About Company
Connexion is an award-winning professional staffing firm that strives to be the unrivaled staffing solution for job seekers by expertly connecting talent with opportunity. Over the last 20 years Connexion has built the most admired team of staffing experts in the industry. We give back, change lives and offer unconditional support to the candidates we represent.
Put Connexion's 20 years of experience to work for you! Our professionals have unrivaled relationships and contacts with the hiring managers, human resources team and decision makers at the most desirable companies to work for.
Don't let your resume get lost in an inbox, Connexion's recruiting team will advocate on your behalf to get you the job you want
Skills
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Assay Developmentunmatched
- Assaysunmatched
- Automationunmatched
- Bash Scriptingunmatched
- Benchmarkingunmatched
- Bioinformaticsunmatched
- Biologyunmatched
- Chemistryunmatched
- Code Reviewsunmatched
- Command Lineunmatched
- Data Analysisunmatched
- Data Modelingunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Deep Learningunmatched
- Genomicsunmatched
- Gitunmatched
- High Throughputunmatched
- Infectious Diseasesunmatched
- Linux Operating Systemunmatched
- Machine Learningunmatched
- Modeling Languagesunmatched
- Molecular Biologyunmatched
- Operating Systemsunmatched
- Performance Managementunmatched
- Polymerase Chain Reaction (PCR)unmatched
- Predictive Modelingunmatched
- Process Improvementunmatched
- Python Programming/Scripting Languageunmatched
- R Programming Languageunmatched
- Scalable System Developmentunmatched
- Thermodynamicsunmatched
- Training Data Setsunmatched
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