Job Description

Job Description

Immediate need for a talented Data Scientist II . This is a 11+ Months Contract opportunity with long-term potential and is located in Cambridge, MA (Onsite) . Please review the job description below and contact me ASAP if you are interested.

Job ID:25-96101

Pay Range: $66 - $72/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Leverage Bioinformatics, System Biology, Statistics and Machine Learning methods to analyze high-throughput omics datasets, with a specific focus on novel target and biomarker discovery in Neuroscience.
• Lead computational analyses and data integration projects involving genomic, transcriptomic, proteomic, and other multi-omics data.
• Provide high-quality data analysis and timely support for target and biomarker discovery projects supporting the organization’s growing Neuroscience portfolio.
• Keep up to date with the latest bioinformatics analysis methods, software, and databases, integrating new methodologies into existing frameworks to enhance data analysis capabilities.
• Work with experimental biologists, functional area experts, and clinical scientists to support drug discovery and development programs at various stages.
• Provide computational biology /data science input in research strategy and experimental design, provide bioinformatics input, and assist in interpreting results from both in-vitro and in-vivo studies.
• Communicate study results effectively to the project team and wider scientific community through written and verbal means, including proposals for further experiments, presentations at internal and external meetings, and publications in leading journals.

Key Requirements and Technology Experience:

• Must have skills: - ["bioinformatics / computational biology ", " Multi-omics data analysis", “Machine Learning & Statistical modeling”, " Biological data integration”, “Python and/or R”, “HPC or cloud computing environments”, “Git / GitHub”]
• Demonstrated expertise in bioinformatics, computational biology, machine learning, multi-omics data analysis, biological data integration and interpretation.
• Extensive and demonstrated experience in the computational analysis of multi-modal and multi-scale (e.g. single cell, spatial) molecular profiles of patient-derived samples.
• Proficient in one or more programming languages (e.g., Python, R) and competent with HPC environments and/or cloud-based platforms.
• Experience with version control systems, such as Git (e.g., Github).
• Good working knowledge of public and proprietary bioinformatics databases, resources and tools.
• Familiarity with public repositories of DNA, RNA, protein, single-cell and spatial profiling data.
• Ability to critically evaluate scientific research and apply novel informatics methods in translational applications.
• Strong problem-solving skills, self-motivated, attention to detail, and ability to handle multiple projects.
• Proven ability to conduct research individually and collaboratively.
• Proven track record of contributions to peer-reviewed publications in the field of bioinformatics or computational biology.
• Excellent communication skills (written, presentation, and oral).
• PhD. in Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related discipline with a minimum of 2 years of academic or industry experience.
• MSc in Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related discipline, with a minimum of 5 years of academic or industry experience.
• Experience in analyzing neuroscience datasets and working knowledge of neuroscience, especially neurodegenerative diseases.
• In-depth understanding of drug target and biomarker identification in an industry setting

Our client is a leading Pharmaceutical Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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