Scientific Project Manager, Data and Informatics Solutions

Posted 13 Days Ago
Be an Early Applicant
Hiring Remotely in USA
Remote
105K-125K Annually
Senior level
Healthtech • Analytics • Biotech
The Role
Manages client-facing scientific data and bioinformatics projects from scoping through delivery. Coordinates Data Engineering and Bioinformatics teams, defines requirements, oversees data access and analyses, performs quality control, prepares reports and documentation, tracks revenue, and communicates progress to clients. Provides scientific pre-sales support, recommends oncology model applications, supports client relationships, and identifies new opportunities. Requires expertise in preclinical oncology, multi-omic data, RNA-seq, whole exome sequencing, project management, and technical communication.
Summary Generated by Built In

Position Title:  Scientific Project Manager, Data and Informatics Solutions

Classification:  Exempt

Reporting Location:  Remote

Reports To:  Sr. Director, Data Engineering & Bioinformatics

The Scientific Project Manager, Data and Informatics Solutions serves as the primary point of contact for client sponsors on the data and analysis components of their programs.  This role is client-facing and requires strong customer focus and an understanding of client needs and timelines.  Essential job duties include helping scope data and analysis deliverables in collaboration with Business Development, coordinating with the Data Engineering and Bioinformatics team to stage and execute deliveries, performing quality control on outgoing data, recognizing revenue once deliveries are complete, and preparing analyses, reports, and supporting documentation.  Collaborates with Business Development to enhance client relationships and facilitate continued business for Champions Oncology.

DUTIES, RESPONSIBILITIES AND PRODUCTIVITY EXPECTATIONS: 

  • 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. 

Qualifications

KNOWLEDGE, SKILLS, AND ABILITIES: 

  • 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. 

This description reflects management’s assignment of essential functions, it does not proscribe or restrict the tasks that may be assigned. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Skills Required

  • Five or more years of experience in translational or preclinical research, data delivery, or a similar client-facing position
  • Bioinformatics expertise, including multi-omic and multimodal biological data sets
  • Hands-on experience with RNA-seq and whole exome sequencing data
  • Knowledge of in vivo oncology models, including xenograft and PDX models
  • Scripting ability in Python and/or R
  • Comfort working at the Linux command line
  • Working knowledge of cloud data handling and safe transfer of large datasets
  • Strong scientific knowledge of preclinical research platforms
  • Project management knowledge and experience
  • Ability to explain technical results clearly to non-technical audiences
  • Effective oral and written communication skills in English
  • Ability to manage multiple priorities with strong attention to detail
  • Ph.D. or M.S. degree in bioinformatics, computational biology, genomics, or a related quantitative life science
  • Familiarity with proteomics data
  • Understanding of preclinical drug development
  • Experience with AWS and S3
  • Experience with Salesforce or a comparable CRM
  • Experience with Jira and Confluence
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The Company
214 Employees
Year Founded: 2007

What We Do

Champions Oncology is a global oncology contract research organization (CRO) that supports pharmaceutical and biotechnology companies in developing cancer therapies. It provides clinically relevant preclinical models, in vivo and ex vivo platforms, clinical specialty testing, flow cytometry, next-generation sequencing, histology, and multi-omic data analytics to accelerate oncology research and inform treatment development through proprietary, data-driven research solutions for drug development programs globally.

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