ZipRecruiter

Log In

1

Virtual Bioinformatics Data Scientist Jobs in Colorado

Eliassen Group

Data Scientist

Almont, CO · On-site

$60 - $75/hr

Our client seeks a Data Scientist to creatively use data to solve business challenges and uncover ... You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ...

next page

Showing results 1-20

All JobsBioinformatics Data Scientist JobsVirtual Bioinformatics Data Scientist JobsVirtual Bioinformatics Data Scientist Jobs in Colorado

Virtual Bioinformatics Data Scientist information

What are the key skills and qualifications needed to thrive as a virtual bioinformatics data scientist?

To thrive as a Virtual Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, often supported by an advanced degree in bioinformatics or a related field. Proficiency in programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with cloud computing platforms are typically required. Outstanding analytical thinking, collaboration, and effective communication skills set top performers apart in this field. These competencies are crucial for extracting meaningful insights from complex biological data and facilitating impactful research in a remote, interdisciplinary environment.

What is a virtual bioinformatics data scientist?

A Virtual Bioinformatics Data Scientist is a professional who analyzes and interprets complex biological data, such as genomic sequences, using computational tools and statistical techniques, often working remotely. They collaborate with researchers and healthcare professionals to process large datasets, develop algorithms, and extract meaningful insights that advance scientific or clinical research. The 'virtual' aspect means they perform their duties online, leveraging cloud platforms and remote collaboration tools. This role requires expertise in biology, computer science, and data analytics. Their work supports advancements in fields like personalized medicine, drug development, and genomics.

What is the difference between Virtual Bioinformatics Data Scientist vs Virtual Bioinformatics Analyst?

AspectVirtual Bioinformatics Data ScientistVirtual Bioinformatics Analyst
Required CredentialsTypically requires a master's or Ph.D. in bioinformatics, computational biology, or related fieldsUsually holds a bachelor's or master's degree in bioinformatics, biology, or related areas
Work EnvironmentConducts complex data modeling, algorithm development, and predictive analyticsFocuses on data interpretation, report generation, and supporting research teams
Employer & Industry UsageUsed in biotech, pharmaceutical, and research institutions for advanced data analysisCommon in research labs, healthcare, and biotech companies for data support roles

The Virtual Bioinformatics Data Scientist and Virtual Bioinformatics Analyst roles share overlapping skills but differ mainly in complexity and focus. Data scientists handle advanced modeling and algorithm development, often requiring higher credentials, while analysts focus on data interpretation and reporting. Both roles are vital in biotech and research industries, but their responsibilities and expertise levels vary.

How does a virtual bioinformatics data scientist typically collaborate with cross-functional teams in a remote setting?

As a Virtual Bioinformatics Data Scientist, you will regularly collaborate with biologists, clinicians, and software engineers via digital communication and project management platforms. Effective communication is crucial, as you’ll be expected to translate complex data findings into actionable insights for non-technical team members. Most virtual teams use tools like Slack, Zoom, and shared cloud-based repositories to facilitate real-time collaboration and feedback. Proactive participation in virtual meetings, clear documentation, and adaptability to asynchronous workflows are key to successful teamwork in this remote role.
What are the most commonly searched types of Bioinformatics Data Scientist jobs in Colorado? The most popular types of Bioinformatics Data Scientist jobs in Colorado are:
What cities in Colorado are hiring for Virtual Bioinformatics Data Scientist jobs? Cities in Colorado with the most Virtual Bioinformatics Data Scientist job openings:
Virtual Bioinformatics Data Scientist jobs near you

Data Scientist

Apogee Engineering, LLC

Colorado Springs, CO • On-site

Other

Re-posted 10 hours ago

Job description

Overview

Apogee is seeking a Data Scientist (DS) to support the U.S. Army Space and Missile Defense Command (USASMDC). This role applies data science, statistics, and automation to mission analytics, helping operational and intelligence teams process large, complex datasets and convert them into actionable insights in support of space and missile defense priorities.

The Data Scientist partners with analysts and technical stakeholders to identify high-value analytic problems, engineer and curate datasets, and develop reproducible pipelines and models to automate workflows and enrich mission data. Responsibilities include data exploration and feature engineering; building and evaluating statistical/ML approaches (as appropriate); developing scripts, tools, and dashboards to support analysis and reporting; and communicating results through clear documentation and briefings. The DS also supports data governance and quality efforts, ensures methods are transparent and repeatable, and transitions solutions into operational use in coordination with Government leads and mission users.

 

This is a full-time opportunity at Petterson Space Force Base (PSFB), CO.

****Contingent Upon Contract Award****

Responsibilities
  • Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
  • Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or Jupyter Labs.
  • Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
  • Develop and use advanced software programs, algorithms, query techniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
  • Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
  • Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
  • Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
  • Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
  • Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Maintain awareness of emerging analytics and big-data technologies.
  • Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
  • Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.
Qualifications

Minimum Experience:

Citizenship: Must be a US citizen Clearance: Must have and be able to maintain a Top Secret (TS) with Sensitive Compartmented Information (SCI) adjudicationEducation: Bachelors DegreeYears of Experience: 7+ years experience in data science/analytics engineering/software development in big-data environments.

Additional Experience:

  • Expert Python skills; heavy use of Jupyter Notebooks/Labs and common IDEs (e.g., VS Code/Spyder).
  • Proven ability to build and sustain automated data workflows (ingest/normalize/integrate/enrich/evaluate) using algorithms, queries, and models.
  • Strong SDLC skills: debugging, refactoring legacy code, and maintaining secure/compatible codebases.
  • Code quality discipline: clear documentation/block comments and adherence to PEP-8 (or equivalent style enforcement).
  • Working knowledge of data architecture and ability to collaborate across multi-discipline teams to connect data sources to mission problems.
  • Ability to communicate findings and recommendations to stakeholders.
  • Experience applying/evaluating ML/NLP, predictive modeling, and statistical methods (hypothesis testing).
  • NSA NETA1400 (Technology Fundamentals for Analysis) completion, or Government-approved equivalent.

Preferred Qualifications:Additional Experience:

  • NSA courses: NETA2402/NETA2108 and/or RPTG2238/2235/3225/3222 (or equivalent).
  • Certifications: DASCA (ABDE/ABDA/SDS), Google Data Analytics, and/or IBM Data Science.
  • Experience transitioning prototypes into reusable, analyst-ready tools/pipelines and tracking emerging big-data/analytics tech.

Additional InformationLocation: Petterson Space Force Base (PSFB), COOn-siteTravel: 10%

Pay RangeUSD $155,000.00 - USD $190,000.00 /Yr.Employment Type: OTHER

Apply