RESEARCH SCIENTIST
LAWRENCEVILLE, NJ

Hybrid Role.

Required Skills:

• PhD (preferable 2+ years post-doctoral experience) in computational biology/bioinformatics, statistics, computer science or related fields, from a recognized higher-education establishment.
• 4+ years of experience in analyzing, integrating, and interpreting high-throughput data.
• Expertise in statistical programming and data manipulation, using e.g., R/Bioconductor, Matlab, Python, plus good knowledge of contemporary database structures.
• Expertise in statistical analysis, analysis of longitudinal data, data deconvolution and machine learning techniques.
• Experience with version control and high-performance computing, including cloud computing and/or big data analytics platforms.
• Prior experience (4+ years) of analysis, integration and interpretation of high-throughput data supported by high-quality publications.
• Expertise in statistical programming and data manipulation, using e.g., R/Bioconductor, Matlab, Python, plus good knowledge of contemporary database structures.
• Expertise in statistical analysis, analysis of longitudinal data, data deconvolution and machine learning techniques (semi-supervised approaches is a plus).
• Experience with version control and high-performance computing, including cloud computing and/or big data analytics platforms would be advantageous.
• Scientific curiosity, collaborative spirit, and proven ability to contribute beyond personal projects.
• Ability to understand and communicate the output of computational research to multi-disciplinary scientific teams.
• The position presents a unique opportunity to experience research in an industry setting and to contribute to helping patients with unmet medical need, while maintaining a link to academic research (publication is encouraged).

Project Description:

• We are seeking an innovative scientist to join our Informatics Predictive Sciences team.
• This group of computational biologists is responsible for advancing Client's industry-leading Early Clinical Development pipeline through the strategic application of cutting-edge bioinformatics approaches.
• This individual will work closely with other groups in R&D to analyze pre-clinical and clinical molecular datasets, data to develop patient enrichment strategies, novel biomarkers, diagnostics, and guide drug development decisions.

Informatics and Predictive Sciences (IPS) has a mission to drive predictive informatics research across the company.

• The role of IPS encompasses a broad range of computational research, from cutting-edge bioinformatics to discover new therapeutic targets, to applied machine learning to optimize clinical trials and predict patient outcomes. Our team focuses on cutting edge informatics research to progress client's Early Development clinical pipeline.
• Performing computational biology analysis for exploration and interpretation of omic datasets, including bulk and single-cell RNASeq, DNA methylation, Exome/Genome sequencing, cytokine, and proteomic data.
• Integrative analysis across different molecular, clinical, and demographic parameters to identify relevant biomarkers (e.g., response, toxicity and pharmacodynamic markers) in clinical studies.
• Development and application of classification methods to select clinically relevant patient segments via application of machine learning methods to molecular profiling data.
• Leveraging internal and external datasets to augment data analysis and findings derived from clinical studies.
• Presentation and reporting of methods, results, and conclusions to a publishable standard.
• Participating in wider group endeavors concerning the elucidation of disease biology, compound mechanisms of action, drug resistance and prediction of target indications.

This 12+ month position starts ASAP.

ALPHA'S REQUIREMENT #22-03318
MUST BE ELIGIBLE TO WORK IN THE U.S. AS AN HOURLY W2 EMPLOYEE

Job Types: Full-time, Contract

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Health savings account
• Referral program
• Vision insurance

Schedule:

• Monday to Friday

Work Location: Hybrid remote in Princeton, NJ 08648

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