Scientist II, Computational Biology Pharma R&D

Tempus • Chicago, IL

262d • $90,000 - $135,000

About The Position

The Scientist II, Computational Biology Pharma R&D will execute analytical projects and capability builds to advance the Tempus drug R&D platform. This role involves performing complex computational analyses and developing algorithms for advancing cancer precision medicine for patients across the Tempus network. The ideal candidate will possess strong genomic analytical skills, experience in applying machine learning and statistical models to big data, and the ability to communicate complex findings to various stakeholders.

Requirements

• PhD and additional 2+ years of working experience or Masters and additional 4+ years of working experience.
• Quantitative and computational skills (e.g. Computational Biology, Biostatistics/Statistical Genetics, Machine Learning, or Bioinformatics).
• Biological or medical knowledge (e.g. Oncology, Immunology, or Human Disease).
• Genomics and transcriptomics experience.
• Experience in target, drug or diagnostic discovery, or clinical development.
• Proficient in R, Python, and SQL, and respective packages for computational biology.
• Strong understanding of cancer biology.
• Applicable knowledge of machine learning and statistical modeling.
• Expertise in in vitro data analysis and phenomics, network and systems biology, mechanistic modeling and simulation, knowledge analytics, deconvolution and causal inference, integrative analysis of multi-modal data, real-world evidence, and survival analysis.
• Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.
• Comfort in a client-facing role.
• Motivated and able to thrive in a fast-paced environment.

Nice To Haves

• Strong peer-reviewed publication record.
• Strong understanding of molecular data and artificial intelligence in drug discovery with experience in integrative modeling of multi-modal clinical and omics data.
• Previous experience working with large transcriptome and NGS data sets.
• Experience with R package development.
• Goal orientation, self-motivation, and drive to make a positive impact in healthcare.

Responsibilities

• Drive continual improvement of the Tempus platform by integrating client feedback, staying ahead of research and industry trends, and championing new opportunities.
• Work with Research, Engineering & Data Science teams across Tempus’ expansive data science community to develop and deliver innovative computational solutions.
• Partner with big pharma clients to identify where the Tempus platform can add value and co-architect solutions with client science/clinical teams.
• Design, develop and execute computational research leveraging the Tempus platform to advance drug R&D programs.
• Independently execute complex translational research projects integrating molecular and clinical data from Tempus’ multimodal data platform.
• Become an expert in Tempus’ epidemiological, clinical, ‘omic and imaging data, and the latest tools and techniques to interrogate these.
• Stay current with industry trends, best practices, and advancements in computational biology for drug R&D.
• Present highly technical results and methods clearly and meaningfully to diverse sets of external stakeholders.

Benefits

• Incentive compensation
• Restricted stock units
• Medical benefits
• Other benefits depending on the position

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees