ZipRecruiter

Log In

2

Entry Level Science Writer Jobs in Denver, CO (NOW HIRING)

Barr

Civil Engineer - Entry Level (Hybrid)

Denver, CO · Hybrid

$70K - $85K/yr

Strong interpersonal, oral, and written communication skills and excellent organizational skills ... About us - why choose Barr At Barr, you'll join a community of engineers, scientists, and ...

CRB

Process Engineer I - New Grad

Denver, CO · On-site

The Entry-Level Process Engineer is responsible for supporting the documentation of the process ... Strong written and verbal communication skills with the ability to collaborate effectively on ...

CRB

Process Engineer I - New Grad

Denver, CO · On-site

The Entry-Level Process Engineer focuses on the design and engineering of manufacturing facility ... Strong written and verbal communication skills with the ability to collaborate effectively on ...

CRB

Process Engineer I - New Grad

Denver, CO · On-site

The Entry-Level Process Engineer focuses on the design and engineering of manufacturing facility ... Strong written and verbal communication skills with the ability to collaborate effectively on ...

previous pagenext page

Showing results 21-40

All JobsScience Writer JobsEntry Level Science Writer JobsEntry Level Science Writer Jobs in Denver, CO

Entry Level Science Writer information

See Denver, CO salary details

$12

$24

$43

How much do entry level science writer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level science writer in Denver, CO is $25.00, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $28.70 per hour, depending on experience, location, and employer.

What is an entry level science writer?

Entry level science writers are professionals who communicate scientific information to a general or specialized audience, usually at the beginning of their careers. They may write articles, press releases, reports, or educational materials that translate complex scientific concepts into clear, accessible language. These writers often work for media outlets, research institutions, universities, or science-focused organizations. Entry level positions typically require at least a bachelor's degree in a science or communications-related field, strong writing skills, and an interest in making science understandable and engaging for the public.

What are the key skills and qualifications needed to thrive as an entry level science writer?

To thrive as an Entry Level Science Writer, you need a solid understanding of scientific concepts, strong writing skills, and a relevant bachelor's degree in science or journalism. Familiarity with research databases, citation management tools, and content management systems is typically expected. Attention to detail, curiosity, and the ability to communicate complex information clearly are essential soft skills. These qualities enable effective translation of technical science into accessible content, ensuring accuracy and audience engagement.

What are some typical challenges entry level science writers face when transitioning from academic writing to professional science communication?

Entry level science writers often find the shift from academic to professional writing challenging because it requires translating complex scientific concepts into clear, engaging language suitable for broader audiences. Unlike academic writing, which emphasizes technical detail and formality, professional science communication demands brevity, accessibility, and storytelling skills. New science writers must also learn to adapt their tone for different platforms, meet tight deadlines, and collaborate closely with editors, researchers, and graphic designers to ensure accuracy and clarity. Overcoming these challenges is key to producing effective science content and advancing in the field.

What are the most commonly searched types of Science Writer jobs in Denver, CO?

The most popular types of Science Writer jobs in Denver, CO are:

What are popular job titles related to Entry Level Science Writer jobs in Denver, CO?

For Entry Level Science Writer jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Entry Level Science Writer jobs in Denver, CO look for?

The top searched job categories for Entry Level Science Writer jobs in Denver, CO are:

Entry Level Science Writer jobs near you
Infographic showing various Entry Level Science Writer job openings in Denver, CO as of August 2026, with employment types broken down into 6% Internship, 76% Full Time, 12% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $51,999 per year, or $25 per hour.

Software Engineer I, Data Science (New Grad)

True Anomaly

Denver, CO • On-site

$117K - $141K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Perform exploratory data analysis on manufacturing telemetry, test logs, mission data, and on-orbit spacecraft health telemetry to identify patterns and surface anomalies

  • Build operational dashboards in Grafana or Plotly Dash showing real-time production status, spacecraft health metrics, mission performance, and anomaly alerts

  • Train basic predictive models (logistic regression, random forests) to flag at-risk components during manufacturing and predict spacecraft health degradation during missions

Job description

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors - enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It's the people. Our team is our competitive advantage and we are better together.

YOUR MISSION
div]:bg-bg-000/50 [&_pre>div]:border-0.5 [&_pre>div]:border-border-400 [&_.ignore-pre-bg>div]:bg-transparent [&_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8">
_*]:min-w-0 gap-3 standard-markdown">
You'll turn spacecraft data into actionable insights across manufacturing and operations: building dashboards that surface production bottlenecks and on-orbit anomalies, analyzing test failures and mission telemetry to identify root causes, training predictive models that flag at-risk components before integration and detect spacecraft health degradation during missions, and mining telemetry to catch anomalies operators would miss. Your work spans the full spacecraft lifecycle. Pre-launch, you'll analyze manufacturing telemetry, test logs, failure reports, and supplier data to catch problems before integration. Post-launch, you'll monitor on-orbit telemetry streams, detect anomalies in spacecraft health data, analyze mission performance, and flag degradation patterns that predict future failures. This is entry-level data science work supporting hardware production and spacecraft operations. You'll write SQL queries, build predictive models in Python, create operational dashboards, and see your analysis drive decisions on the manufacturing floor and in mission control.
This is a 3 month temporary employment engagement. There is potential to convert to regular employment based on performance and business need.
RESPONSIBILITIES
  • Perform exploratory data analysis on manufacturing telemetry, test logs, mission data, and on-orbit spacecraft health telemetry to identify patterns and surface anomalies
  • Build operational dashboards in Grafana or Plotly Dash showing real-time production status, spacecraft health metrics, mission performance, and anomaly alerts
  • Train basic predictive models (logistic regression, random forests) to flag at-risk components during manufacturing and predict spacecraft health degradation during missions
  • Write SQL queries to extract, join, and aggregate data from manufacturing databases, test systems, mission telemetry streams, and spacecraft health archives
  • Analyze test failures and on-orbit anomalies to identify common failure modes, cluster similar issues, and quantify impact on schedule and mission success
  • Create data visualizations (matplotlib, seaborn, Plotly) that communicate findings to engineers, manufacturing leads, mission operators, and program managers
  • Implement statistical process control charts to detect out-of-spec conditions in manufacturing processes and spacecraft telemetry before they cascade
  • Monitor on-orbit telemetry streams for anomalies: battery voltage trends, thermal behavior, attitude control health, communications link quality
  • Document analysis methodology in Jupyter notebooks enabling reproducibility and knowledge transfer across manufacturing and operations teams
  • Learn reliability engineering and mission operations concepts: failure modes, burn-in testing, on-orbit commissioning, spacecraft health monitoring, and anomaly response procedures

QUALIFICATIONS
  • Bachelor's or Master's degree in data science, statistics, industrial engineering, applied mathematics, operations research, or related quantitative field
  • Proficiency in Python for data analysis: pandas, numpy, matplotlib, seaborn
  • Working knowledge of SQL for querying relational databases: SELECT, JOIN, GROUP BY, aggregation functions
  • Coursework in statistics: hypothesis testing, regression, probability distributions, experimental design
  • Ability to create clear visualizations that communicate insights to technical and non-technical audiences
  • Strong curiosity about how things fail and how data can predict failures before they happen
  • Debugging mindset: when the model gives wrong answers or the query returns unexpected results, you dig in to find out why
  • Eagerness to learn manufacturing, operations, and reliability engineering domains where data drives real decisions
  • U.S. Citizen (required for facility access and government contracts)

PREFERRED SKILLS AND EXPERIENCE
  • Experience with machine learning in Python: scikit-learn for classification/regression, model validation, train/test splits, cross-validation
  • Familiarity with time-series analysis: plotting sensor trends, detecting change points, smoothing noisy signals
  • Exposure to data visualization tools: Grafana, Tableau, Plotly Dash, or similar dashboard frameworks
  • Understanding of basic reliability concepts: failure rates, survival curves, mean time between failures (MTBF)
  • Prior internship or project analyzing real-world operational data: manufacturing, logistics, quality control, IoT sensor data
  • Experience with version control (git) and collaborative data analysis workflows
  • Coursework or projects in industrial engineering, operations research, or quality management
  • Familiarity with data cleaning and wrangling: handling missing values, outlier detection, data quality assessment
  • Understanding of experimental design: A/B testing, randomized controlled trials, confounding variables
  • Exposure to anomaly detection techniques: z-scores, control charts, boxplot analysis
  • Prior work with manufacturing or hardware production data (even from coursework or academic projects)
  • Familiarity with Jupyter notebooks, literate programming, and reproducible analysis practices

COMPENSATION
  • Base Salary: Denver: $75,000; Long Beach: $80,000

ADDITIONAL REQUIREMENTS
  • Work Location-Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site.
  • Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
  • Physical demands-the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.

Apply