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Scientific programmer analyst skills for your resume and career

Updated January 8, 2025
3 min read
Quoted expert
David Feldman Ph.D.
Below we've compiled a list of the most critical scientific programmer analyst skills. We ranked the top skills for scientific programmer analysts based on the percentage of resumes they appeared on. For example, 28.6% of scientific programmer analyst resumes contained python as a skill. Continue reading to find out what skills a scientific programmer analyst needs to be successful in the workplace.

15 scientific programmer analyst skills for your resume and career

1. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how scientific programmer analysts use python:
  • Programmed a basic software in Python language that parse a limited sample of tweets and categorize them under different topics.
  • Performed unit testing using Python and PyDAQ to measure TTL signal strength being outputted from the Data Acquisition Device.

2. Linux

Linux is a Unix-like operating system. Just like Windows, Mac OS, and IOS, Linux is an operating system used by millions across the globe. Android itself is powered by the Linux operating system. Linux manages all the hardware resources that are associated with your computer. The software is famous because of the protection it grants from viruses, malware, and crashes. The Linux operating system is entirely free and is an open-source software meaning it can be altered by those equipped with the knowledge to code.

Here's how scientific programmer analysts use linux:
  • Created make files to compile C & FORTRAN programs in Linux and HP-UX operating environment.
  • Delivered the skills necessary to develop, implement and support manufacturing applications utilizing multiple Oracle Databases on UNIX and Linux systems.

3. MATLAB

Here's how scientific programmer analysts use matlab:
  • Developed the program in MATLAB.

4. Unix

UNIX is a computer operating system that was first created in the 1960s and has been constantly updated since then. The operating system refers to the set of programs that enable a machine to function. It is a multi-user, multi-tasking device that works on computers, laptops, and servers. UNIX systems also have a graphical user interface (GUI), similar to Microsoft Windows, that makes it simple to use.

Here's how scientific programmer analysts use unix:
  • Developed an automated faculty evaluation application using SAS, UNIX and VMS scripts.
  • Programmed using C and SQL on UNIX and MVS operating systems.

5. Fortran

Fortran is a programming language used for numeric and scientific computing. The general-purpose language was originally developed by IBM for scientific and engineering applications.

Here's how scientific programmer analysts use fortran:
  • Programmed and maintained device drivers, graphics conversion and plot utility programs on VAX and PC in C and FORTRAN.
  • Conducted comparative functional assessment of simulation models written in FORTRAN code, which led to DoD-wide adoption of assessment results.

6. SQL

Here's how scientific programmer analysts use sql:
  • Managed developers and collaborated with developers in the Richardson, TX office to maintain and support CAD data using SQL RDBMS.
  • Design and Implement the GeneReport back-stage Information management system using ASP.net, MVC, C#, SQL server

7. Perl

A Practical Extraction and Report Language, or simply PERL, is a programming language used for a script intended for syntax. You can see this when a particular web programmer or a junior developer creates a script for servers. It is used to manipulate text and utilize tasks such as web development, programming, and system administration.

Here's how scientific programmer analysts use perl:
  • Served on a team that developed a B2B website using Perl, CGI and Oracle database
  • Developed integration script for Apache and PHP using Perl for Windows Porting Project.

8. Visualization

Here's how scientific programmer analysts use visualization:
  • Designed and developed data mining and information visualization techniques for visually analyzing students' discussion activities data.
  • Developed interactive visualization components for a chemistry tutoring system in HTML/CSS.

9. R

R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

Here's how scientific programmer analysts use r:
  • Major participant of a course project Sugar beet yield prediction modeling using R from Sep. 20123 to Dec. 2013.
  • Analysed image data for assessing crop health using R Researched, developed, built, and tested custom algorithms for image analysis

10. Remote Sensing

Here's how scientific programmer analysts use remote sensing:
  • Archived Landsat 7 Thematic Mapper sea ice remote sensing data in the Arctic and the Antarctic regions.

11. Software Packages

Here's how scientific programmer analysts use software packages:
  • Provide VM/XA system support, utilizing XAMAP (Velocity Software), a system resource utilization software package.
  • Evaluated 12 file compression software packages for the image storage system, saving over 3 months time.

12. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how scientific programmer analysts use sas:
  • Designed, developed, and maintained data entry and management system supporting the Regional data review monitoring system using SAS.
  • Designed and developed SAS and SPSS programs to manipulate and analyze data.

13. C++

C++ is a general-purpose programming language that is used to create high-performing applications. It was invented as an extension to the C language. C++ lets the programmer have a high level of domination over memory and system resources. C++ is an object-oriented language that helps you implement real-time issues based on different data functions

Here's how scientific programmer analysts use c++:
  • Executed conversion and implementation of an extensive legacy FoxPro application library into C++.
  • Designed and implemented prototype for reverse engineering C++ code into an object-oriented design tool.

14. Windows

Windows is a chain of operating systems that controls a computer and is developed by Microsoft. Every version of Windows consists of GUI (graphical user interface), with a desktop that allows the user to open their files.

Here's how scientific programmer analysts use windows:
  • Ensured timely updating of windows builds of EMAN2 imaging software

15. Management System

A management system is a set of policies, processes, and procedures taken by an organization or a business to ensure it can fulfill its tasks and achieve its objectives. A management system makes sure that the company excels financially and improves the user experience. The management system also takes care of the worker's and employees' needs and manages their workload and oversees their performance. Apart from interior matters of the company, a management system also deals with exterior matters like legislations, tax matters, and law issues.

Here's how scientific programmer analysts use management system:
  • Managed development team for the publishing aspect of a regulatory document management system.
  • Designed, developed and implemented a sophisticated and unique data base management system.
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What skills help Scientific Programmer Analysts find jobs?

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What skills stand out on scientific programmer analyst resumes?

David Feldman Ph.D.

Professor of Urban Planning and Public Policy and Political Science, Director, Water UCI, Director, MPP Program, University of California, Irvine

Succinct writing, critical thinking, strong quantitative analytical skills.

List of scientific programmer analyst skills to add to your resume

Scientific programmer analyst skills

The most important skills for a scientific programmer analyst resume and required skills for a scientific programmer analyst to have include:

  • Python
  • Linux
  • MATLAB
  • Unix
  • Fortran
  • SQL
  • Perl
  • Visualization
  • R
  • Remote Sensing
  • Software Packages
  • SAS
  • C++
  • Windows
  • Management System
  • PC

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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