Senior Bioinformatics Scientist

Tempus AI; Chicago (IL); On-site; USD 100,000 - 160,000; Full time

Job summary

A leading company in precision medicine is seeking a Senior Bioinformatics Scientist to develop innovative assays and algorithms in liquid biopsy. The role involves leveraging AI to provide actionable insights for oncology-related biomarkers and requires a Ph.D. along with substantial industry experience. Candidates should possess strong programming skills in Python and/or R, with a proven track record in scientific research.

Benefits

Incentive compensation

Stock options

Medical benefits

Qualifications

• 5-10 years of industry or academic experience.
• Proven scientific reputation through publications or product contributions.
• Experience developing NGS pipelines using contemporary tools.

Responsibilities

• Develop novel assays, algorithms, machine learning, and statistical models.
• Design and conduct analyses applying genomic and epigenomic knowledge.
• Lead, mentor, and train other scientists and engineers.

Skills

Proficiency in Python

Proficiency in R

Effective communication

Statistical models

Predictive algorithms

Education

Ph.D. in Bioinformatics

Ph.D. in Computational Biology

Ph.D. in Cancer Biology

Ph.D. in Genetics

Ph.D. in Immunology

Ph.D. in Molecular Biology

Ph.D. in Computer Science

Tools

NGS pipelines

Job description

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Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in technology have made it possible for AI to impact clinical care significantly. Tempus' proprietary platform connects real-world evidence to deliver real-time, actionable insights to physicians, helping identify the right treatments for the right patients at the right time.

We are seeking a highly motivated senior bioinformatics scientist with extensive experience in developing cutting-edge assays and algorithms in liquid biopsy, including molecular residual disease testing, therapeutic response monitoring, therapy selection, genomic profiling, and diagnostics.

Responsibilities

1. Develop novel assays, algorithms, machine learning, and statistical models to detect oncology-related biomarkers from cell-free NGS data.
2. Design and conduct analyses applying genomic and epigenomic knowledge to derive insights from large datasets.
3. Design and execute experiments to characterize performance and support regulatory submissions.
4. Produce detailed documentation for all projects.
5. Communicate results with scientific teams, product, and bioinformatics leadership.
6. Lead, mentor, and train other scientists and engineers.

Qualifications

1. Ph.D. in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science.
2. 5-10 years of industry or academic experience.
3. Proficiency in Python and/or R.
4. Proven scientific reputation through publications or product contributions.
5. Experience developing NGS pipelines using contemporary tools in high-performance environments.
6. In-depth knowledge of statistical models and predictive algorithms.
7. Effective communication and presentation skills.
8. Self-driven with ability to work in interdisciplinary teams.

Additional Details

Salary ranges vary by location, e.g., CHI: $100,000-$160,000; NYC/SF: $115,000-$175,000. Benefits may include incentive compensation, stock, medical, and more. Remote roles in Los Angeles may involve considerations related to legal standards regarding criminal history.

Equal Opportunity Statement

We are an equal opportunity employer and do not discriminate based on race, religion, gender, etc.

Job Details

• Senior level
• Full-time
• Research, Analyst, and IT functions