Senior Computational Biologist I

Tempus; New York (NY); On-site; USD 100,000 - 175,000; Full time

Job summary

Tempus in New York is seeking a highly qualified computational biologist to partner with pharma clients, design and execute computational research, and advance drug R&D using the Tempus platform. You will analyze large clinical and molecular datasets, become an expert in transcriptomics, and collaborate with Research, Engineering & Data Science teams to deliver innovative solutions.

The role requires a Masters or PhD and strong Python/R skills; salary ranges are noted for different locations,

Qualifications

• Masters or PhD in Computational Biology, Biostatistics, Bioinformatics, Biomedical Informatics, Data Science for Health, or similar.
• Biological or medical knowledge (e.g., Genetics/Genomics, Molecular Biology, Immunology)
• Comfort in a client-facing role
• Proficient in R or Python
• Strong understanding of molecular nature of human disease
• Expert in delivering actionable insights 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 adapt to changing priorities
• Experience in drug R&D; oncology; immunology; single cell/spatial transcriptomics; mech modeling and AI techniques

Responsibilities

• Partner with pharma clients to design, develop and execute computational research using the Tempus platform.
• Become an expert in Tempus multimodal clinical and genomic data.
• Analyze and integrate large clinical and molecular datasets to extract insights and drive research opportunities.
• Lead scientific and technical interactions with clients to co-architect solutions and projects.
• Collaborate with Research, Engineering & Data Science teams to deliver innovative computational solutions.
• Document and communicate highly technical results clearly to non-technical audiences.
• Author whitepapers and peer-reviewed manuscripts illustrating value of multimodal analysis and AI in drug discovery

Skills

R or Python

Client-facing

Data analysis

Education

Masters or PhD in Computational Biology / Biostatistics / Bioinformatics

Tools

SQL

R

Python

Job description

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.