Sr. Scientist /Scientist, Computational Biologist (systems biology)

 Job Description:

CAMP4 is leveraging a proprietary gene regulation platform to discover medicines to treat a broad range of diseases.  We are seeking a Computational Biologist with expertise in computational genomics to utilize state-of-the-art tools and develop novel methods and strategies, to distill our in-house and public multi-omics datasets from multiple cell types to generate focused hypotheses to drive target identification/validation and drug discovery. The successful candidate will work closely with experimental biologists and data scientists to expand our Gene Circuitry Platform™ to multiple new cell types of clinical importance. Ph.D. degree is required.

 

Key responsibilities include:

 

·         Providing conceptual input into analysis plans (approaches and design) and engage in cross-functional discussions to refine plans and identify key priorities

·         Analysis of multi-dimensional NGS-based data-types across dynamic and spatial axes, to compare the functional genomics attributes common and divergent across primary human cells and/or complex model systems

·         Derives rules of combinatorial motif (known and newly discovered) interaction with genomic output converging across cell-types

·         Characterizing pathological and compensatory gene regulation features impacting the upstream signaling controls of gene expression

·         Completing computational data analysis as specified by analysis plans, visualize and provide interpretation and context to results of analysis

·         Identifying, evaluate, and apply new methodologies and emerging technologies, and develop software tools when appropriate to enable target identification

·         Demonstrating an exceptional work ethic by taking the initiative and working with a sense of urgency to discover breakthrough medicines that will improve patients’ lives, collaborate and share ideas with the rest of the team, and challenge the status quo

 

Qualifications:

·         Ph.D. in Computational Biology, Bioinformatics, or related discipline

·         Recognized excellence as evidenced from top-tier peer-reviewed publications and strong references

·         Experience with cross-cell-type multi-omics data integration, comparison, and prediction

·         Strong background in genomic data analysis, statistics, and machine learning

·         Strong understanding of cellular and molecular biology with extensive experience in next generation sequencing (NGS) analysis of DNA (ChIP-seq, ATAC-seq, Hi-C, HiChIP, ChIA-PET, whole-genome sequencing) and RNA (conventional and single-cell RNA-seq, GRO-seq/PRO-seq).

·         Mastery of common programming techniques and languages (e.g., R, Python, Java, etc.)

·         Demonstrated effectiveness using common machine learning approaches and scientific data analysis packages (e.g. scikit-learn, bioconductor, pathways analysis, MLlib, etc.)

·         Comfort and proficiency in UNIX/HPC systems and experience using cloud compute (AWS, GC, Azure) and large-scale data processing frameworks (e.g. Apache Spark)

·         Enthusiasm, passion, attention to detail, being able to work in close collaboration with experimental scientists, and a desire to create new medicines for patients