Scientific Project Manager, Data and Informatics Solutions

• Participates as the scientific technical lead in client meetings related to potential and current data and analysis opportunities, providing pre-sales support in conjunction with Business Development.
• Manages delivery, data access, and scoped bioinformatics analyses
• Defines client scientific requirements and helps define and scope deliverables for both data and analysis products and services.
• Understands applications of model bank data and recommends appropriate models based on client needs; suggests alternatives when necessary.
• Organizes onboarding meetings with clients and internal staff.
• Monitors ongoing engagements to ensure tasks are being completed and communicates progress updates to the client in a timely manner.
• Issues directives to the Data Engineering and Bioinformatics team based on data and protocol endpoints.
• Performs QC for data deliveries, ensures completion of transfers, and appropriate documentation.
• Recognizes revenue for data/studies for Finance through Salesforce.

• Interfaces with Business Development, Data Engineering, Computational R&D, and other Champions personnel to successfully coordinate projects from start to finish.

• Participates in discussions around and provides feedback for process improvement to improve quality.
• Represents Champions in the field at client meetings and scientific conferences.
• Organizes periodic program reviews with clients and makes suggestions for support based on pipeline alignment.
• Identifies potential new opportunities and facilitates ongoing discussions regarding new opportunities with existing clients.
• Delivers customer value in a timely manner, and ensures deliverables are accurate.
• Works independently and performs other related duties as assigned.

• Depth of scientific knowledge around preclinical research platforms.
• Bioinformatics expertise, including familiarity with the analysis and application of multi-omic and multimodal biological data sets. Hands-on experience with RNA-seq and whole exome sequencing data is expected. Familiarity with proteomics data is preferred.
• Knowledge of project management and oncology research. Knowledge of vivo oncology models (Xenograft/PDX) required. Understanding pre-clinical drug development a plus.
• Customer service skills, timely decision making, good interpersonal skills, and an ability to be persistent while maintaining tact.
• Demonstrated ability to explain technical results clearly to non-technical audiences. This is an essential requirement of the role.
• Must have the ability to balance several priorities simultaneously with high attention to detail.
• Ability for frequent adaptation, self-organization, and accountability.
• Effective oral and written communication skills in English are required.
• Scripting ability in Python and/or R, and comfort working at the Linux command line.
• Working knowledge of cloud data handling, preferably AWS and S3, including safe transfer of large datasets.
• Experience with Salesforce, or a comparable CRM, is preferred.
• Experience with Jira and Confluence is a plus.

EDUCATION AND EXPERIENCE:

• Ph.D. or M.S. degree in bioinformatics, computational biology, genomics, or a related quantitative life science preferred.
• Five or more years of experience in translational or preclinical research, data delivery, or a similar client-facing position.

PHYSICAL DEMANDS AND WORK ENVIRONMENT:

• Must be able to sit for long periods of time using a computer in a typical office environment in a multi-level facility or home office.