Senior Computational Biologist I

Responsibilities

• Lead and contribute to research projects in support of research initiatives within R&D and Medical Affairs, leveraging large-scale real-world clinical and multi-omic molecular data.
• Present insights from research studies to external research partners through formal presentations and communicate research findings effectively.
• Stay updated on methodological advancements in real-world studies, next generation sequencing (DNA/RNA) and oncology guidelines.
• Communicate analytical results, and scientific findings clearly to audiences with varying levels of technical and genomics expertise.
• Participate in publications and podium activities.

Requirements

• 3+ years experience in industry or academia, following completion of PhD degree in quantitative NGS-related disciplines (e.g. Computational Biology, Genetics, or similar).
• Alternatively, a PhD in computational biology with a strong record of multi-omic, high-throughput sequencing data analysis.
• Computational skills using R and SQL, especially relevant statistical tools and packages.
• Experience deriving oncology-specific clinical insights using genomic data and deriving real-world endpoints using time-to-event methodologies within a retrospective database.
• Excellent project management skills, with proven ability to collaborate with teams of multi-disciplinary scientists to define and execute analysis plans to address scientific questions using omics datasets (genomics, transcriptomics).
• Thrive in a fast-paced environment and willing to shift priorities seamlessly.
• A collaborative mindset, coupled with a genuine eagerness to learn and a steadfast dedication to maintaining integrity in all endeavors.

Qualifications

• PhD in computational biology with a strong record of multi-omic, high-throughput sequencing data analysis.
• Experience with AWS and/or Bigquery and/or Google Cloud Platform (GCP).
• Proficiency in machine learning techniques, with a nuanced understanding of the strengths and limitations of various approaches, particularly regarding predictive and prognostic algorithms in medical research.

Skills

• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Excellent communication and presentation skills.
• Knowledge of real-world evidence and its integration with molecular data.
• Experience with big data platforms like AWS, Bigquery, or GCP.
• Proficiency in machine learning and statistical methods relevant to medical research.

Benefits

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). 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.

Pay

CHI: $100,000-$160,000 USD
NYC: $115,000-$175,000 USD

Schedule

Not specified

Location

Illinois