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Biological Statistics Jobs in Park Ridge, IL (NOW HIRING)

Tempus

Senior Computational Biologist I

Chicago, IL · On-site

$115K - $175K/yr

Computational Biology, Genetics, or similar). Alternatively, a PhD in computational biology with a ... Computational skills using R and SQL, especially relevant statistical tools and packages.

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Biological Statistics information

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$30.5K

$41.4K

$55.1K

How much do biological statistics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for biological statistics in Park Ridge, IL is $41,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,900.00 and $45,800.00 per year, depending on experience, location, and employer.

What is a biological statistician?

Biological statisticians are professionals who apply statistical methods to the analysis of data generated from biological, medical, and health-related research. They help design experiments, analyze biological data, and interpret the results to support scientific conclusions. Their work is essential in fields like genetics, epidemiology, public health, and clinical trials. Biological statisticians ensure that research findings are statistically valid and meaningful, often collaborating with scientists, researchers, and healthcare professionals.

How do biological statisticians typically collaborate with research scientists during a project?

Biological statisticians play a key role in interdisciplinary teams by working closely with research scientists to design experiments, determine appropriate statistical methods, and interpret data. They are often involved from the initial planning stages, helping to ensure that data collection protocols will yield valid and reliable results. Throughout the project, statisticians communicate findings clearly, translate complex statistical concepts, and provide guidance on data-driven decisions. Effective collaboration and communication with researchers are crucial for the success of scientific studies.

What are the key skills and qualifications needed to thrive as a biological statistician, and why are they important?

To thrive as a Biological Statistician, you need a strong background in statistics, mathematics, and biology, typically supported by a degree in biostatistics, statistics, or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience handling large biological datasets are essential. Strong analytical thinking, attention to detail, and effective communication skills help translate complex data into actionable insights for interdisciplinary teams. These skills are crucial for designing sound experiments, ensuring accuracy in data analysis, and supporting evidence-based decision-making in biological research.

What is the difference between Biological Statistics vs Biostatistics?

AspectBiological StatisticsBiostatistics
Required CredentialsDegree in statistics, mathematics, or biological sciencesDegree in statistics, biostatistics, or related health sciences
Work EnvironmentResearch labs, academia, biotech companiesHealthcare, public health, medical research
Industry UsageUsed across biological research and data analysisPrimarily in health and medical fields
Common Search IntentUnderstanding statistical methods in biologyApplying statistics to health and medicine

Biological Statistics and Biostatistics share overlapping skills and credentials, but Biological Statistics focuses more broadly on biological data analysis across various biological sciences, while Biostatistics specializes in health-related research and medical data. Both roles require strong statistical backgrounds, but their application areas differ, with Biological Statistics spanning multiple biological fields and Biostatistics centered on health and medicine.

Do biological statisticians make a lot of money?

Biological statisticians typically earn competitive salaries that vary based on experience, education, and location. According to industry data, median annual wages often range from $70,000 to over $100,000, with higher earnings possible for those with advanced skills in statistical software and bioinformatics. Job prospects are strong in research institutions, pharmaceutical companies, and healthcare organizations.

Is a biological statistician a good career?

A biological statistician is a valuable role that involves applying statistical methods to biological research, often requiring knowledge of programming languages like R or SAS. The field offers strong job prospects, competitive salaries, and opportunities in healthcare, pharmaceuticals, and research institutions. Success in this career typically depends on advanced education such as a master's or Ph.D. and strong analytical skills.

What job categories do people searching Biological Statistics jobs in Park Ridge, IL look for?

The top searched job categories for Biological Statistics jobs in Park Ridge, IL are:

What cities near Park Ridge, IL are hiring for Biological Statistics jobs?

Cities near Park Ridge, IL with the most Biological Statistics job openings:

Biological Statistics jobs near you
Infographic showing various Biological Statistics job openings in Park Ridge, IL as of September 2026, with employment types broken down into 1% Internship, 78% Full Time, 19% Part Time, 1% Contract, and 1% Nights. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $41,432 per year, or $19.9 per hour.

Senior Computational Biologist I

Chicago, IL • On-site

Tempus
See more jobs at Tempusexternal

$115K - $175K/yr

Full-time

Re-posted 25 days ago

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.

We are looking for a highly analytical, self-motivated and solution-oriented scientist with a strong background in analyzing large-scale, multi-omic molecular and real-world clinical datasets to join our Discover Data Science team supporting Medical Affairs. In this role, you will work directly with the Tempus Medical Sciences Team and oncology research leaders to understand their goals and translate their scientific questions into insight generation. Your work will directly enhance Tempus' research capabilities and empower our teams and partners to generate actionable insights for patient care.

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.

Required Experience:

  • 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.

Nice to have:

  • Experience integrating molecular data with real-world evidence and longitudinal clinical outcomes.

  • 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.

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

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.

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.

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