Job Scope:

We are seeking a motivated and experienced bioinformatics developer to build an AL driven platform focused on analysis of synthetic DNA and mRNA. This will require collecting and analyzing large data sets built from a variety of sources including sequencing, RNA folding and structure computation and expression profiles. This position will involve research and collaboration with scientists and engineers to develop new molecular biology products and services. They will help to improve GenScript's proprietary semiconductor based high-throughput DNA synthesis technology and mRNA sequence design through AI-centric approach.

Location: Redmond, WA

Responsibilities:

• Utilize state-of-the-art data mining technologies to process and analyze biological data (DNA/protein sequences. sequencing data, RNA structure computation and metadata)
• Develop models and computational approaches which will identify and help determine DNA/RNA synthesis bias and provide insight into possible solutions to optimize the quality and implement of DNA synthesis.
• Develop and implant AI algorithms to improve primer specificity or gene assembly.
• Explore machine learning and other AI techniques to extract knowledge from large data sets and infer effective solutions for nucleic acid synthesis.
• Work in a cross-functional team to propose, design, plan, operate, and perform experiments in research and development projects
• Perform statistical data analysis and present the results.
• Stay updated with the latest advancements in bioinformatics and AI technologies.

Qualifications

• PhD. or master's degree in bioinformatics, Computational Biology, Molecular Biology, Genetics, or a related field.
• Extensive experience with AL tools, algorithms, and models relevant to bioinformatics.
• Proficiency in programming languages such as JAVA, Python, R, and familiarity with AL frameworks like TensorFlow, PyTorch, etc.
• Demonstrated experience in integrating AL tools into Bioinformatics workflows.
• Proven track record of designing and optimizing DNA primers and sequences using advanced computational methods.
• Strong analytical skills and the ability to interpret complex biological data.
• Ability to troubleshoot and optimize bioinformatics processes and workflows.
• Knowledgeable in molecular biology, biochemistry, enzymology, DNA, RNA and protein synthesis mechanisms.
• Demonstrated initiative and pursuit of successful collaborative research projects with interdisciplinary team.
• Excellent documentation practices. Able to prepare documents including software design documentation, data summaries, technical, analytical, and scientific reports, and transfer the procedures to manufacturing.
• Sel-motivated and passionate. Comfortable to work in a fast-paced work environment.

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