Job Description:
The Data Scientist is responsible for accessing, analyzing, and interpreting genetic and functional data to inform the AiM Institute’s preclinical drug discovery research program. He/she leverages deep biological knowledge of and experience in the fields of neurology and/or immunology to design and execute analyses tailored to answer biologists’ key scientific questions. The Scientist is also responsible for designing and maintaining analysis pipelines (e.g., RNAseq and NGS) and accessing and managing large human biology datasets. Specific responsibilities include contribution to experimental design, analysis of preclinical experiments, data quality control, reporting of results, and biological interpretation of findings. In addition, the Data Scientist provides and implements recommendations of novel or existing technologies and analytic methods to improve experimental design and inform decision making. He/she also identifies externally available datasets that can be internalized to inform drug discovery and development efforts, coordinates access to those datasets, and manages their use at Eisai. To facilitate interactions between data scientists, informaticians, and biologists, the Data Scientist will occasionally serve as a “translator” across disciplines to ensure that team members are all able to understand and answer key questions. Data Scientist will collaborate with Informatics and IT colleagues to help Biology colleagues manage laboratory experimental data for drug development projects in neurology. Clear communication and data visualization skills will be critical for this position. The Human Biology & Data Science Engine emphasizes a cross-disciplinary approach using internal and external resources to advance understanding of drug targets from robust human biology based evidence. Our research team is committed to supporting professional development. Essential Functions: • Conduct data science activities including cleaning, handling, integration, and analysis of small- and medium-scale experimental data generated from cell lines, model organisms, and human subjects, including genotype, mRNA, protein, and other data types. • Analyze large-scale analysis-ready datasets to answer specific focused questions of relevance to biology project teams. • Contextualize findings from internal experiments and generate hypotheses for new internal experiments by analyzing and interpreting externally available data. • Provide appropriate visualization and interpretation of results in preclinical experimental data to support decision making on drug development projects. • Contribute to preclinical experimental study design to generate statistically meaningful information. • Prepare and track documentation including analysis plans, result reports, and progress reports.
Additional Info:
Department Name Applied Data Sciences Location/Territory Name Andover, MA Eisai Inc. has recently launched a new, autonomous and dedicated R&D innovation unit of over 80 scientists focused on integrating our diverse scientific strengths to deliver novel targeted medicines, discovered and robustly validated by human genetics and related sources, to patients. This Andover, MA, unit is premised upon three strategic pillars (human biology, chemistry innovation and entrepreneurial collaboration) and is organized around five scientific engines (Human Biology and Data Sciences; Integrated Biology; Integrated Chemistry; Imaging Center of Excellence; Target Modulation). The predominant research focus of the new unit is precision medicine therapeutics for the subset of dementia and oncology patients with immune-driven pathology (i.e., immunodementia and immunooncology), with a sharp strategic focus on employing entrepreneurial, collaborative, and business models to accelerate delivery of innovative medicines that address unmet patient needs. [Click Here to Access the Original Job Post]
The Data Scientist is responsible for accessing, analyzing, and interpreting genetic and functional data to inform the AiM Institute’s preclinical drug discovery research program. He/she leverages deep biological knowledge of and experience in the fields of neurology and/or immunology to design and execute analyses tailored to answer biologists’ key scientific questions. The Scientist is also responsible for designing and maintaining analysis pipelines (e.g., RNAseq and NGS) and accessing and managing large human biology datasets. Specific responsibilities include contribution to experimental design, analysis of preclinical experiments, data quality control, reporting of results, and biological interpretation of findings. In addition, the Data Scientist provides and implements recommendations of novel or existing technologies and analytic methods to improve experimental design and inform decision making. He/she also identifies externally available datasets that can be internalized to inform drug discovery and development efforts, coordinates access to those datasets, and manages their use at Eisai. To facilitate interactions between data scientists, informaticians, and biologists, the Data Scientist will occasionally serve as a “translator” across disciplines to ensure that team members are all able to understand and answer key questions. Data Scientist will collaborate with Informatics and IT colleagues to help Biology colleagues manage laboratory experimental data for drug development projects in neurology. Clear communication and data visualization skills will be critical for this position. The Human Biology & Data Science Engine emphasizes a cross-disciplinary approach using internal and external resources to advance understanding of drug targets from robust human biology based evidence. Our research team is committed to supporting professional development. Essential Functions: • Conduct data science activities including cleaning, handling, integration, and analysis of small- and medium-scale experimental data generated from cell lines, model organisms, and human subjects, including genotype, mRNA, protein, and other data types. • Analyze large-scale analysis-ready datasets to answer specific focused questions of relevance to biology project teams. • Contextualize findings from internal experiments and generate hypotheses for new internal experiments by analyzing and interpreting externally available data. • Provide appropriate visualization and interpretation of results in preclinical experimental data to support decision making on drug development projects. • Contribute to preclinical experimental study design to generate statistically meaningful information. • Prepare and track documentation including analysis plans, result reports, and progress reports.
Job Qualifications
Knowledge/Skills/Abilities Required: • Ph.D. degree with 0-3 years of experience in Immunology, Neurology, Biostatistics, Bioinformatics, Computational Biology, Statistical Genetics, Data Science, or closely related field. M.S. degree with equivalent experience may also suffice. • Must have at least 3 years of laboratory or analytic experience in immunology or neurology, including hands-on data analysis. • Must have analytic and statistical skills to design and conduct analysis of functional genomics, expression (including RNAseq), whole genome sequencing, targeted genotyping, and experimental data from cell lines or model organisms. • Must have sufficient experience with and understanding of next generation sequencing methods and analysis to design, implement, and document variant-calling pipelines for RNAseq and whole genome sequencing experiments. • Must have experience applying knowledge-based or data-driven methods (e.g. pathway and network analysis) for data interpretation using common software platforms (e.g. IPA, MetaCore). • Must demonstrate good understanding of laboratory protocols and experimental procedures to guide statistically meaningful experimental study design • Must have excellent communication skills and the ability to act on cross-disciplinary teams • Must have experience with R and Unix/Linux systems. Additional experience with languages/software including Excel, SQL, Python, Bioconductor, DNA Nexus, and PipelinePilot is preferred. Ability to use Spotfire, SharePoint, and SQL may also be useful. • Oncology and human genetics experience a plus.Requeriments :
Skills :
- Biology
- Genetics
- immunology
- Lunix/Unix
- Next Generation Sequencing
- Programing in Python
- Programming in R
- RNA-seq
- SQL
- Statistics
Areas :
Additional Info:
Department Name Applied Data Sciences Location/Territory Name Andover, MA Eisai Inc. has recently launched a new, autonomous and dedicated R&D innovation unit of over 80 scientists focused on integrating our diverse scientific strengths to deliver novel targeted medicines, discovered and robustly validated by human genetics and related sources, to patients. This Andover, MA, unit is premised upon three strategic pillars (human biology, chemistry innovation and entrepreneurial collaboration) and is organized around five scientific engines (Human Biology and Data Sciences; Integrated Biology; Integrated Chemistry; Imaging Center of Excellence; Target Modulation). The predominant research focus of the new unit is precision medicine therapeutics for the subset of dementia and oncology patients with immune-driven pathology (i.e., immunodementia and immunooncology), with a sharp strategic focus on employing entrepreneurial, collaborative, and business models to accelerate delivery of innovative medicines that address unmet patient needs. [Click Here to Access the Original Job Post]