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Computational Statistics Jobs (NOW HIRING)

Statistical Trial Analysis: * Collaborate with other statistical colleagues and study personnel to provide input to statistical analysis plans * Assist in and/or be accountable for selecting ...

Extensive experience using advanced computational, statistical, and modeling skills to analyze and interpret neuroimaging data. * A strong grasp of psychophysics and human behavior. * Demonstrated ...

Solid understanding of statistics, data modeling, and modern machine learning approaches. * Experience deploying and scaling computational pipelines on cloud platforms (AWS, GCP, or similar)

Solid understanding of statistics, data modeling, and modern machine learning approaches. * Experience deploying and scaling computational pipelines on cloud platforms (AWS, GCP, or similar)

PhD in computational biology, AI/ML, applied statistics, biophysics, or , * MS and professional experience in relevant fields. * ≥5 years of experience working in applied computational biology and ...

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Computational Statistics information

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How much do computational statistics jobs pay per hour?

As of Jun 10, 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 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 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 are the key skills and qualifications needed to thrive as a Computational Statistician, and why are they important?

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 is computational statistics?

Computational statistics is a field of statistics that leverages computational power to perform data analysis, statistical modeling, and inference. It involves the development and application of algorithms, simulations, and numerical methods to solve complex statistical problems that may be difficult or impossible to address analytically. This field is essential for handling large datasets, implementing advanced statistical techniques, and supporting data-driven decision making in various scientific and industrial domains.
More about Computational Statistics jobs
What cities are hiring for Computational Statistics jobs? Cities with the most Computational Statistics job openings:
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Advisor - Computational Statistics

Advisor - Computational Statistics

Lilly

Boston, MA • On-site

$166K - $266K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

11th of 71 rated pharmaceutical


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.

Verve Therapeutics, a wholly owned subsidiary of Eli Lilly & Company within Lilly Research Labs, is a clinical-stage genetic medicines company established with a mission to solve the global health epidemic of cardiovascular disease. Founded by world-leading experts in cardiovascular medicine, human genetics and gene-editing, Verve is pioneering a new approach to the care of cardiovascular disease, potentially transforming treatment from chronic management to single-course gene editing medicines.

Responsibilities:

Statistical Trial Analysis:

  • Collaborate with other statistical colleagues and study personnel to provide input to statistical analysis plans
  • Assist in and/or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the data 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

Communication of Results and Inferences:

  • Collaborate with other statistical colleagues to write reports and communicate results
  • 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
  • Assist or respond to regulatory queries working in collaboration with other statistical colleagues

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 technology advances

Regulatory 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

Basic Requirements:

  • Master's degree in Statistics, Biostatistics or MSPH with concentration in Statistics or Biostatistics.
  • 6+ years of industry experience

Additional Skills/Preferences:

  • Proficiency in the SAS, R and otherprogramming language
  • Interpersonal/teamwork skills for effective interactions
  • Technical growth and application with working knowledge 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. The anticipated wage for this position is

$166,500 - $266,200

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.

#WeAreLilly


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About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876