Associate Principal Scientist, Systems Biology

ASSOCIATE PRINCIPAL SCIENTIST – SYSTEMS BIOLOGY

Vacancies & Advanced Biotechnologies Department, Research & Development Division – We’re seeking a passionate and talented systems biologist with expertise in generating and analyzing complex multidimensional biological data to support discovery and development at our West Point, PA location.

• Directly contribute to multiple stages of therapeutic development through rigorous design or implementation of high‑dimensional functional genomics and cellular profiling assays, including in vitro and in vivo pooled/arrayed CRISPR screens, single‑cell transcriptomics and lineage tracing, and experimental or in silico proteomic datasets.
• Perform statistically rigorous quantitative analyses while applying reproducible research and data integrity practices to large‑scale biological datasets.
• Analyze, interpret, and summarize complex biological data and use data visualization tools to communicate findings to broader audiences.
• Identify, analyze, and integrate internal and external data and knowledge resources to enable data mining in a biological context and inform actionable insights for pipeline development.
• Develop and implement experimental and/or computational methods to combine results from functional genomics screens and other data sets (RNA‑Seq, DRUG‑seq, WGS, CRISPR, single‑cell RNA‑Seq, proteomics, metabolomics) with additional biological data streams to generate deep biological knowledge and drive innovation.

• Provide clear interpretation of high‑dimensional data and propose candidates for further computational and biological interrogation.
• Engage with cross‑functional teams to translate biological hypotheses into experimental or computational interrogations of functional genomics data and multi‑omics molecular profiles to drive iterative experimental design decisions.
• Work in a highly collaborative environment, embedded with genetics, chemistry, pharmacology, and molecular and cellular biology to accelerate therapeutic development.

• Survey relevant literature on novel experimental and computational methods and introduce them into the in‑house portfolio of workflows.
• Keep up‑to‑date on project‑relevant literature and attend relevant conferences.
• Further professional development by participating in workshops and seminars focused on personal and professional growth.

• Ph.D. in Systems Biology, Computational Biology, Computer Science, Biostatistics, Genetics, Immunology, Mathematics, Molecular Biology, Statistics, or related field and 4 years of experience.
• Experience can be a mix of relevant academic or industrial experience.

• Demonstrated experience with experimental and/or computational strategies and interpretation of large‑scale biological data such as sequencing modalities and pooled/arrayed CRISPR screens.
• Fluency with generation and/or analysis of diverse large‑scale NGS datasets (RNA‑seq, WES, scRNA‑seq, spatial transcriptomics, etc).
• Experience with statistical hypothesis testing methodology and machine learning concepts and methods.
• Experience integrating results from multiple data sources and biological knowledge bases to extract meaningful insights.

• Fluency with experimental and/or computational methods for generating and interrogating high‑dimensional data. Programming skills in R, Rshiny, tidyverse, Python, MATLAB, with ability to create interpretable visualizations.
• Experience with cell culture, RNA/DNA extractions, library preparation, molecular biology tools, and experimental design strategies.
• Experience with HPC, AWS cloud computing infrastructure, and Linux environments.
• Experience with version control systems such as Git (e.g., Git Hub) and ability to adapt to existing analytic frameworks.

• Understanding of algorithm pros and cons for DNA‑seq, RNA‑seq, single‑cell RNA‑seq and functional genomics data.
• Familiarity with data and analytic capabilities of public repositories and databases of DNA, RNA, protein, single‑cell, and functional genomics data.
• Experience…