Senior Scientist II, Data Solutions
tempusBrooklyn (NY)
Senior Scientist II, Data Solutions
Posted today
tempusBrooklyn (NY)
SENIORITY
Senior
About the role
Overview:
In this role you drive partnerships with pharmaceutical and biotech clients, translating Tempus data products into value across R&D and commercial programs. You work closely with cross-functional teams to tailor solutions that advance clinical and research objectives. The position blends scientific advisory with strategic account growth, leveraging real-world evidence to improve outcomes. You will engage with senior stakeholders, shaping how data informs drug discovery and patient care. This is a mission-driven opportunity to scale impact in precision medicine.
Responsibilities:
Meet and exceed revenue goals for the product line within strategic accounts Build and maintain relationships with R&D and commercial executives to uncover value-creation opportunities Develop deep scientific understanding of customer pipelines and objectives Deploy consultative approach to map Tempus offerings to client needs and drive adoption Provide strategic scientific directions and reports to advance customer engagement Communicate plans and outcomes to internal and external stakeholders Collaborate with Account Team, Alliance Management and Operations to ensure pipeline success Track progress against objectives and revenue goals and adapt with leadership Contribute feedback to Leadership for portfolio development and maintain a solution-oriented mindset Stay updated on pharmaceutical industry trends, regulatory developments, and client priorities Travel ~30% domestically and internationally Other duties as assigned
Key requirements:
2+ years of post-graduate experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields Computational skills using SQL, Python and R with relevant statistical tools and visualization packages Experience with Clinical Trial Design and/or Real World Evidence datasets Experience with integrative methods to model multi-modal clinical and/or omics data Proactive mindset bridging ideas to implementable solutions and stakeholder alignment Proven ability to build deep relationships with pharmaceutical stakeholders Deep knowledge of Drug Discovery, Translational Research / Computational Biology or Real World Evidence methodologies, especially in Oncology Fostering collaborative and inclusive work environment, promoting creativity and scientific excellence Energetic, problem-solving oriented with ability to navigate diverse stakeholders Experience in agile environments and quick iterations Exceptional account management and communication skills relationship-building collaboration communication SQL Python R
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