Senior Data Scientist

Job Purpose: The Sr. Scientist is recognized as a subject matter expert and provides scientific leadership in at least one discipline of Biomarkers and Genomic Medicine. The Sr. Scientist develops strong client relationships and works closely with clients to develop and implement strategies to support their drug discovery and development programs. Key Accountabilities: Responsible and Accountable for the operational delivery of one or more aspects of a client program or project through computational/data processing support, to timelines, quality expectations and regulatory requirement. Assists project leaders and or line management in assessing project resource needs with respect to areas of responsibility Exercises judgment in determining methods, and techniques appropriate to deliver capability within their area of proficiency. Maintains awareness of field through review of literature, attending webinars and seminars. Develops and maintains a positive relationship with internal and external clients and team members, building partnerships and promoting teamwork Represents Parexel at marketing and scientific meetings Skills: A good practical knowledge of programming languages to manipulate large datasets (Python, R, Perl). Hands-on experience managing and analyzing large-scale genetic/genomic data and performing data transformations and quality control of data where required. Experience with several specialized data types and analytical pipelines (e.g., GWAS, eQTL, Single Cell and Bulk RNA-Seq), while maintaining awareness of additional pipelines outside the specialized modality (e.g., ATAC-Seq, Variant Calling, Pooled CRISPR) to facilitate data integration as needed. Working knowledge of relational and distributed databases (i.e., MySQL, Hadoop, NoSQL). Experience working in a Unix environment. Skilled in Microsoft Office tools including Excel, PowerPoint, and Word. Strong ability to manage several projects consisting of technical and non-technical goals at once Strong organizational, problem solving and analytical skills. Professional attitude, self-motivated, client focused work ethic with ability to handle confidential matters and data. Able to work independently and organize own workload. Willingness to work in a matrix environment and to value and promote the importance of teamwork Strong interpersonal, verbal, and written communication skills. Clear and precise communication in English. Knowledge and Experience: Five or more years' experience in pharmaceutical industry, CRO or academia desired Strong knowledge of genomics and preferably drug development. Some examples below Experience working in a genetic, genomic, or molecular biology laboratory Experience in genetic analysis, bioinformatics and computational programming Experience in contributing to protocols, informed consents, analysis plans and clinical study reports Education: Master's degree preferred, or equivalent experience of 2 or more in one of the following areas: in genetics/genomics, bioinformatics, computer science, computational biology, biostatistics. #LI-REMOTE