Director - BioPartnering Solutions

Role Summary

The Director of BioPartnering Solutions leads Caris’ biopharma partnerships across their lifecycle and ensures the longevity of these partnerships. The role liaises across internal teams (alliance management, bioinformatics, translational and clinical research, product development, and more) to serve as an ambassador of Caris’ assays, biopharma offerings, real-world data capabilities, product development initiatives, and oncology subject matter expertise. It focuses on clinico-genomic data, real-world data, analytics, and research collaboration to support partnerships, and maintains deep knowledge of Caris databases to articulate the value and feasibility of using Caris data for internal and external purposes.

Responsibilities

• Serving as the SME for Caris’ assays, data and product offerings.
• Inform and design database queries to support feasibility assessments for fit-for-purpose partnership scopes – both for Caris’ core BioPartnering Solutions, and the Strategic Data Business Unit.
• Support the development and execution on account plans and strategy for engaging accounts across the product lifecycle, including preparing content and supporting meetings for high quality external interactions.
• Lead Caris’ biopharma projects by working closely with cross-functional teams internally or externally, including but not limited to Alliance Management, Clinical Research Operations, Cognitive Computing, Medical Affairs, Bioinformatics, Molecular Science Liaison, Molecular Genetics, Pathology, etc.
• Lead, manage and execute biopharma partners RWD research projects assigned by team leadership by collaborating with a team data scientists to deliver aggregated insights to support partners’ clinical programs; apply knowledge of cancer biology, molecular genetics, and clinical oncology to ensure the quality of the projects.
• Communicate effectively with internal and external stakeholders including biopharma partners and/or Caris leadership to formulate and refine research ideas, project scope and partnership proposals to maximize impact to advancing precision oncology.
• Contribute as a member of the cross-functional and heavily matrixed Strategic Data Business Unit (SDBU) organization.

Qualifications

• Required: A minimum of 8 years of relevant professional work or training experience.
• Required: PhD or equivalent advanced biomedical professional degree in biological sciences related to cancer biology, biochemistry, molecular and cellular biology, biostatistics/epidemiology, etc.
• Required: Demonstrate self-starter attitude and ability to work and lead collaboratively.
• Required: Knowledge in cancer biology, deep understanding of molecular genetics, and familiarity with targeted and immune therapies in cancer treatment are required.
• Required: Ability to understand biological/pathological questions and interpret complex data. Previous research experience with evidence of data mining and analysis, is a plus.
• Required: Capable of performing basic data queries and prepare data presentation slides for various audiences.
• Required: Experience related to external partnerships with strong management and communications skills.
• Required: Knowledge of the research and development business processes within biopharma.
• Required: Exceptional interpersonal skills, and entrepreneurial orientation characterized by pragmatism, independence, and self-determination with an agile and flexible behavior style.
• Required: Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, PowerPoint, and general working knowledge of internet for business use in order to prepare clear materials such as documents, presentations, and other communication tools for both internal and external facing activities.
• Preferred: Hands-on experience with molecular genetics data and/or multimodal real-world data (RWD), or experience (data organization, utilization and/or analytics) in clinical oncology data (EMR, oncology clinical trial dataset, and/or cancer registry dataset, etc.) is highly desirable.
• Preferred: Proficiency in at least one general-purpose programming language for large dataset analytics (Python, R, Java, C/C++) is a plus but not required.

Additional Requirements

• This position requires periodic travel (up to 20%) and some evenings, weekends and/or holidays.
• Job may require after-hours response to emergency issues.