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Remote Julia Programming Jobs in Chicago, IL (NOW HIRING)

Remote Julia Programming information

What are the key skills and qualifications needed to thrive as a Remote Julia Programmer, and why are they important?

To thrive as a Remote Julia Programmer, you need strong programming skills in Julia, a solid background in mathematics or data science, and experience with distributed computing or scientific computing projects. Familiarity with version control systems like Git, cloud platforms, and Julia-specific libraries such as Flux.jl or DataFrames.jl is typically required. Outstanding problem-solving abilities, self-motivation, and effective written communication are crucial soft skills for remote collaboration and project delivery. These skills and qualities are essential for delivering efficient, high-quality code and collaborating seamlessly in distributed, often cross-functional teams.

What are some common challenges faced by remote Julia programmers, and how can they be addressed?

Remote Julia programmers often encounter challenges such as collaborating across time zones, ensuring efficient code review, and maintaining clear communication with their teams. Additionally, because Julia is a relatively newer language, developers may need to troubleshoot integration issues with other technologies or find solutions to less-documented problems. These challenges can be addressed by leveraging asynchronous communication tools, participating in regular virtual meetings, utilizing robust version control systems, and engaging with the active Julia community for support and resources.

What is remote Julia programming?

Remote Julia programming refers to working as a programmer who uses the Julia language while operating from a location outside of a traditional office setting, often from home or anywhere with internet access. Julia is a high-level, high-performance programming language commonly used for technical computing, data science, and numerical analysis. Remote Julia programmers collaborate with teams, develop software, analyze data, and solve computational problems, leveraging digital communication tools. This setup offers flexibility and access to global opportunities, making it popular among developers and organizations worldwide.
What are the most commonly searched types of Julia Programming jobs in Chicago, IL? The most popular types of Julia Programming jobs in Chicago, IL are:
What are popular job titles related to Remote Julia Programming jobs in Chicago, IL? For Remote Julia Programming jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Julia Programming jobs in Chicago, IL look for? The top searched job categories for Remote Julia Programming jobs in Chicago, IL are:
Statistical Analyst (Remote Eligible)

Statistical Analyst (Remote Eligible)

Mathematica

Chicago, IL • On-site, Remote

$70K - $90K/yr

Full-time

Re-posted 14 days ago


Job description

Statistical Analyst (Remote Eligible)
About Mathematica:
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.
Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.
Read more about our benefits here: Benefits at a Glance.
At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.
We are seeking a masters-level Statistical Analyst to join our vibrant group of over 20 statisticians and data scientists. The contributions of our statisticians and statistical analysts underpin our ability to produce crucial evidence for policy and decision makers, ultimately furthering our mission to improve public well-being. For example, our statistical analysts have contributed to projects developing COVID-19 decision tools, extending state-of-the-art methods for identifying treatment effect heterogeneity to enhance primary care delivery, and leveraging Bayesian factorial design to improve the presentation of school choice information to low-income parents.
As part of their employment, statistical analysts benefit from the mentorship of more senior statisticians and subject-matter experts, learning new techniques and familiarizing themselves with new topic areas through involvement in analyses.
Responsibilities:
Analysis:
  • Apply statistical and quantitative methods to evaluate and improve social programs and policies, with the oversight of more senior statisticians. Assist in designing rigorous studies, determining appropriate analytic methods, selecting survey samples, calculating nonresponse adjustments, analyzing survey responses, and interpreting findings.

Programming:
  • Write programs to perform all stages of quantitative analysis, including: (1) conduct data extraction, cleaning, and manipulation, (2) apply advanced statistical and quantitative techniques appropriate for both survey and administrative data, and (3) develop programs to calculate descriptive statistics, populate tables, and visualize results.

Communication:
  • Draft sections of reports, including technical appendices, and presentations for colleagues, policymakers and other stakeholders. Communicate findings to internal project teams via memos, presentations, or markdown files.

Required Qualifications:
  • Master's degree with quantitative discipline, such as statistics, biostatistics, applied mathematics, quantitative economics, survey methodology, data science, or a related field, or an equivalent combination of education and experience
  • Coursework or experience in some of the following statistical and/or quantitative methods: causal inference at both the design (matching or weighting for comparison group selection) and analysis (regression) phases, experimental design, Bayesian inference, hierarchical/multilevel modeling, longitudinal data analysis, performance measurement, SEIR modeling, spatial statistics, small area estimation, survey sampling, non-response weighting, power calculation, and predictive modeling
  • Fluency in one or more of the following statistical programming languages: R (preferred), Python, Stan, Julia, Stata, or SAS
  • Excellent written and oral communication skills, including an ability to translate statistical methods and findings for a non-technical audience

Preferred:
  • Experience contributing to written deliverables, such as proposals, technical reports, or academic manuscripts
  • Background or interest in social policy research and a focus on health policy research

This position offers an anticipated annual base salary range of $70,000 to $90,000.
To apply, please submit cover letter, resume, location preferences, salary requirements, and code samples via our careers page. Please include a code sample (or two or three) which best represents your programming skills, preferably in R. If you include a GitHub, please call out the specific samples you want to highlight. If you do not have code available in these preferred languages, please send a code sample in an alternate language.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, age, national origin, religion, orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
At Mathematica, we understand the importance of building relationships with colleagues. If you're not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it's an option in your area.
Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in or complete the application process and are denied, Mathematica may choose to terminate your employment.
We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high-quality work.