Jobs Companies Tempus Senior Computational Biologist I

Über diese Senior Computational Biologist I Stelle bei Tempus

Tempus · Vor Ort · New York City

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Responsibilities:
Partner with our pharma clients to design, develop and execute computational research leveraging the Tempus platform to advance drug R&D programs.
Become an expert in Tempus multimodal clinical and genomic data.
Analyze and integrate large, diverse clinical and molecular datasets to extract insights and drive new research opportunities.
Lead scientific and technical interactions with clients to co-architect solutions and projects.
Become an expert in current and prospective clients’ strategies, pipelines, and portfolios to identify where the Tempus platform can add value and collaborate with sales teams to realize that value.
Collaborate with Research, Engineering & Data Science teams to develop and deliver innovative computational solutions.
Drive continual improvement of the Tempus platform by communicating client feedback, staying ahead of research and industry trends, championing opportunities for new markets, and influencing our leadership and global account strategy teams.
Work with Product and Engineering teams to streamline the workflow of computational analyses.
Document, summarize, and communicate highly technical results and methods clearly to non-technical audiences.
Author whitepapers and peer-reviewed manuscripts illustrating the value of multimodal analysis and AI in drug discovery


Qualifications:
Education to Masters or Ph.D. level combining
quantitative and/or computational skills, e.g., Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Biomedical Informatics, Biometrics, Data Science for Health, or similar.
biological or medical knowledge, e.g. Human Disease, Genetics/Genomics, Molecular Biology, or Immunology
Comfort in a client-facing role
Proficient in R or Python
Strong understanding of the molecular nature of human disease
Expert in delivering actionable insight from transcriptomic data sets.
Experience with Clinical Trial Data and/or Real World Evidence
Experience with integrative methods to model multi-modal clinical and/or omics data.
Experienced in SQL
Thrive in a fast-paced environment and willing to shift priorities seamlessly.
Experience in any of the following will also be beneficial: drug R&D; oncology; immunology; single cell or spatial transcriptomics; mechanistic modeling and inference; knowledge and graph-based AI techniques

CHI: $100,000-$160,000
NYC/SF: $115,000-$175,000


The expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

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Wie sich dieses Gehalt für Bioinformatics vergleicht

Diese Stelle zahlt $145,000/yrim Einklang mit der üblichen Spanne für Bioinformatics Stellen.

$81,650 dem Median $147,228 $208,590

Übliche Spanne $130,238–$176,200/yr, aus 41 vergleichbaren Bioinformatics Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Bioinformatics ansehen →

Über Tempus

Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics. We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make s

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