Associate Principal Scientist, Preclinical Development

Job Description

As a Assoc Principal scientist, you will drive the creation of next-generation mammalian cell lines using a systems-level approach. You will be responsible for designing synthetic genetic circuits, managing large-scale multi-omics datasets, and utilizing Next-Generation Sequencing (NGS) to ensure the stability and productivity of therapeutic cell lines.

Key Responsibilities

• Cell Engineering & Synthetic Biology: Design and optimize complex DNA vector constructs and synthetic gene circuits to enhance protein expression in CHO cells. Use cutting -edge gene-editing tools for targeted knock-in/out strategies.

• Systems Biology Integration: Develop and apply computational models to understand cellular pathways and metabolism, predicting how genetic modifications impact global cell behavior and product quality.

• Big Data Analytics: Build and maintain data pipelines to process high-dimensional datasets from high-throughput screening. Apply machine learning (ML) or deep learning (DL) models to inform experimental design and predict cell line performance.

• NGS Characterization: Lead NGS workflows, from library preparation  to bioinformatics analysis. Use NGS to verify monoclonality, transgene integrity, and integration sites.

• Cross-Functional Collaboration: Partner with Upstream, Downstream, and Analytical teams to deliver integrated CMC solutions. Author technical reports for regulatory filings (IND/BLA).

Required Qualifications

• Education: Ph.D. in Molecular Biology, Bioinformatics, Systems Biology, Chemical Engineering, or a related field; or a Master’s degree with 5–8+ years of industry experience.

• Computational Proficiency:Strong programming skills in Python or R for biological data analysis.Experience with Linux/Unix environments and command-line bioinformatics tools (BWA, GATK, Samtools).

• Wet-Lab Expertise: Expertise in aseptic mammalian cell culture. Advanced molecular cloning techniques and genetic characterization (ddPCR, flow cytometry).

• NGS Experience: Proven track record in library construction and data management for DNA-seq and RNA-seq workflows.

Required Skills:

Big Data, Big Data, Bioinformatics, Cell Cultures, Cell Line Development, Chemical Engineering, Detail-Oriented, Downstream Process Development, Drug Delivery Technology, Drug Development, Expression Vectors, Interpersonal Relationships, Leading Project Teams, Library Construction, Linux Environments, Machine Learning (ML), Mammalian Cell, Mammalian Cell Culture, Molecular Biology, Molecular Microbiology, Next Generation Sequencing (NGS), Pharmaceutical Formulations, Pharmaceutical Process Development, Physical Characterization, Stable Cell Lines {+ 1 more}

Preferred Skills:

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