Senior Scientist, Translational Research - Real World Data Science at Tempus

Chicago, Illinois, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Biopharmaceutical, OncologyIndustries

Requirements

PhD degree in a quantitative discipline (e.g., Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar) plus 2 years of experience or postdoctoral studies. Alternatively, a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology
Minimum 2+ years in drug development leveraging genomic and multimodal data for drug discovery and development
Proficient in R, Python, and SQL
Strong understanding of relevant scientific fields (implied in education and experience)

Responsibilities

Partner with pharma clients to design, develop, and execute computational research projects leveraging the Tempus platform to advance precision medicine research programs
Execute scientific activities including scoping net new projects, generating high quality contracted deliverables, and serve as the key scientific lead in the partnership
Support exploratory research for target discovery and validation in early phases of drug development
Support decisions for early stage assets such as patient and indication selection, biomarker and combination strategies
Evaluate clinical trial design by testing assumptions, refining eligibility criteria, and characterize patient outcomes on standard of care
Develop novel biomarkers of response signatures
Independently execute complex translational or real-world evidence research projects integrating molecular and clinical data from Tempus multimodal data platform to derive real-world insights for biopharma partners
Expert in navigating client interactions; present scientific findings clearly and meaningfully to diverse sets of external stakeholders
Document, summarize, and communicate highly technical results and methods clearly to non-technical audiences
Author abstracts, posters, and peer-review publications to illustrate the value of multimodal analysis and AI in drug discovery in coordination with partners or internal R&D teams
Help train and manage junior scientists on team
Become an expert in biopharma partners’ strategy, pipeline, and portfolio to proactively determine areas where the Tempus platform could add value to the drug development process
Stay current with industry trends, best practices, and advancements in computational oncology research; apply this knowledge to enhance research methodologies and improve overall research quality on the team
Work with Product and Engineering teams to streamline workflow of computational analyses

Skills

Real World Evidence

Data Science

Translational Research

Computational Analysis

Precision Medicine

Oncology

Biomarker Strategies

Clinical Trial Design

Target Discovery

Tempus

AI-driven healthcare data analysis platform

About Tempus

Tempus focuses on enhancing patient outcomes through the use of data and artificial intelligence in healthcare. The company offers a platform that analyzes medical data to provide insights for physicians, helping them make better treatment decisions. This platform also aids pharmaceutical and biotech companies in drug development by identifying new targets and assessing treatment effectiveness. For patients, Tempus identifies personalized therapy options, particularly in cancer care, where their research has shown increased opportunities for tailored treatments. They have developed a pan-cancer organoid platform and a liquid biopsy assay for profiling circulating tumor DNA. Tempus generates revenue by charging healthcare providers and companies for access to their platform and insights, setting them apart from competitors by their focus on personalized medicine and extensive cancer research.

Chicago, IllinoisHeadquarters

2015Year Founded

$894.9MTotal Funding

IPOCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

1,001-5,000Employees

Benefits

Relocation Assistance

Company Equity

Performance Bonus

Risks

Competition from partners like Genialis may lead to conflicts of interest.

Ambry Genetics acquisition could pose financial risks if synergies aren't realized.

Technical challenges may arise in integration with Flatiron's OncoEMR platform.

Differentiation

Tempus uses AI to analyze clinical and molecular data for precision medicine.

Their platform aids in personalized treatment decisions for cancer patients.

Tempus collaborates with biotech firms to enhance drug development using real-world data.

Upsides

Increased AI adoption in healthcare boosts Tempus' partnerships and collaborations.

Acquisition of Ambry Genetics expands Tempus' genetic testing capabilities.

Integration with Flatiron's OncoEMR enhances precision in cancer treatment plans.

Land your dream remote job 3x faster with AI

Try Jobo Free