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Computational Statistics Jobs (NOW HIRING)

Computational Biologist

Medford, MA · On-site

$74K - $111K/yr

Strong grounding in statistics, experimental design, reproducible analysis, and scientific data ... Degree in computational biology, bioinformatics, biostatistics, genomics, systems biology or ...

$92K - $111K/yr

Strong grounding in statistics, experimental design, reproducible analysis, and scientific data ... Degree in computational biology, bioinformatics, biostatistics, genomics, systems biology or ...

New

We are seeking a driven, analytical Scientist, Computational Biology to join our early-stage ... Statistical Methods & Machine Learning: Well-versed in statistical approaches applicable to ...

Deep expertise in computational biology, bioinformatics, and statistical analysis of large-scale biological datasets. * Experience analyzing GWAS, whole-genome sequencing (WGS), and other human ...

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Computational Statistics information

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How much do computational statistics jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for computational statistics in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computational statistician?

To thrive as a Computational Statistician, you need a solid background in statistics, mathematics, and computer science, usually supported by at least a master's degree in a related field. Expertise in programming languages such as R or Python, experience with statistical software, and familiarity with data management tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for designing robust statistical models, extracting actionable insights from complex datasets, and supporting data-driven decision-making.

What are the common challenges faced by professionals in computational statistics, and how can they be addressed?

Professionals in computational statistics often encounter challenges such as managing large, complex datasets, ensuring computational efficiency, and translating statistical findings into actionable insights for non-technical stakeholders. Addressing these challenges typically involves staying updated with the latest software tools, collaborating closely with data engineers and domain experts, and continuously improving communication skills to explain technical results clearly. Proactively seeking opportunities for cross-functional teamwork and ongoing professional development can also help computational statisticians navigate these complexities and advance in their careers.

What is the difference between Computational Statistics vs Data Scientist?

AspectComputational StatisticsData Scientist
Required CredentialsDegree in Statistics, Mathematics, or related fieldDegree in Computer Science, Statistics, or related field
Work EnvironmentResearch labs, academia, data analysis teamsTech companies, consulting firms, diverse industries
Employer & Industry UsageAcademic institutions, research organizations, analytics teamsBusiness, technology, finance, healthcare
Common Search & Comparison IntentUnderstanding specialized statistical modeling and algorithmsBroader data analysis, machine learning, and business insights

Computational Statistics focuses on developing and applying statistical algorithms and models using computational methods, often emphasizing theoretical foundations. Data Scientists utilize these techniques along with programming and data manipulation skills to extract insights from large datasets across various industries. While there is overlap, Computational Statistics is more research-oriented, whereas Data Science covers a broader range of data analysis tasks.

What is computational statistics?

Computational statistics is a field within data analysis that uses algorithms, programming, and computer-based methods to process and interpret large datasets. It involves techniques such as simulation, optimization, and statistical modeling, often utilizing tools like R or Python. Professionals in this area develop and implement computational methods to solve complex statistical problems efficiently.
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What states have the most Computational Statistics jobs?

States with the most job openings for Computational Statistics jobs include:

Infographic showing various Computational Statistics job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 79% Full Time, 18% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Advisor - Computational Statistician

Indianapolis, IN • On-site

Initial Therapeutics, Inc.
Biotechnology Research and Development • 11 - 50 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Key responsibilities

  • Collaborate with statistical colleagues and study personnel to provide input to statistical analysis plans, write reports, and communicate results.

  • Assist in selecting statistical methods for data analysis, author analysis plan sections, and conduct analyses based on the analysis plan.

  • Use current technologies and tools to conduct clinical trial analysis and communicate study results via regulatory submissions and manuscripts.


Job description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Responsibilities
  • Collaborate with other statistical colleagues and study personnel to provide input to statistical analysis plans, write reports and communicate results, assist/respond to regulatory queries.
  • Assist in and/or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the analysis plan, and conducting the actual analysis once a reporting database is created.
  • Collaborate with data management in the planning and implementation of data quality assurance plans.
  • Maintain proficiency with respect to SAS programming and statistical methodology and in applying new and varied methods.
  • Effectively justify methods selected and implement previously outlined analysis plans.
  • Conduct peer-review of work products from statistical colleagues.
  • Effectively use current technologies and available tools for conducting the clinical trial analysis.
  • Responsible for assisting in the communication of study results via regulatory submissions, and manuscripts, as well as for communicating one-on-one with key customers.
Therapeutic Area and Systems Knowledge
  • Understand relevant disease states in order to enhance the level of customer focus and collaboration.
  • Ensure replication of tools and systems, where applicable and stay informed of technological advances.
Regulatory and Quality Compliance
  • Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable corporate, medical, local, and departmental policies, procedures, processes, and training.
This role provides statistical leadership in multiple dimensions including:
  • Masters primary programming language and its capabilities in implementing any type of analysis or computation.
  • Apply innovative programming techniques to solve critical problems.
  • Collaborate with project statistician to suggest appropriate methodology.
  • Merges scientific thinking & business knowledge to identify & impact business issues.
  • Drives projects internally (or externally), works effectively across functions. Use technical expertise to influence business decisions.
  • Identify broad technical issues, drives assessment of options and implement robust solutions.
Basic Qualifications
  • Master’s degree in Statistics, Biostatistics, or MSPH with concentration in Statistics or Biostatistics, or relevant areas.
  • 7+ years of statistical analysis/programming experience.
Additional Skills/Preferences
  • Proficiency in statistical programming languages/software such as SAS, R, Spotfire, etc.
  • Interpersonal/teamwork skills for effective interactions
  • Technical growth and application with solid understanding of statistics and statistical software
  • Self-management skills with a focus on results for prompt and accurate completion of competing deliverables
  • Creativity and innovation
  • Demonstrated problem solving ability and attention to detail.
  • Data analysis, technology, and systems expertise

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.

$151,500 - $244,200

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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