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Remote Biotech Data Analyst Jobs in Springfield, MO

Technical Scientist - SME

Springfield, MO ยท On-site +1

$150K - $235K/yr

Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams. * Support the full TCPED process for OPIR -- from tasking and collection planning ...

The VP of Finance provides strategic financial leadership, analytical insight, and operational ... Lead initiatives to streamline financial processes, enhance use of technology, and strengthen data ...

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Remote Biotech Data Analyst information

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

How much do remote biotech data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote biotech data analyst in Springfield, MO is $75,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,200.00 per year, depending on experience, location, and employer.

What is a remote biotech data analyst?

A Remote Biotech Data Analyst is a professional who works from a remote location to analyze and interpret complex biological data for biotech companies or research organizations. They use statistical and computational techniques to help make sense of data from experiments, clinical trials, or laboratory research. Their insights help guide scientific decisions, optimize processes, and support product development in the biotechnology field. This role typically requires strong skills in data analysis, biology, and proficiency with specialized software and databases.

How does a remote biotech data analyst typically collaborate with cross-functional teams while working off-site?

Remote Biotech Data Analysts regularly collaborate with cross-functional teams, including researchers, lab technicians, and software engineers, primarily through virtual meetings, shared project management tools, and cloud-based data platforms. Effective communication is crucial, as analysts must clearly present findings and discuss data-driven recommendations with both technical and non-technical team members. While working remotely, they often face the challenge of aligning schedules across different time zones, but most organizations provide robust digital infrastructures and regular check-ins to ensure seamless collaboration and project progress.

What are the key skills and qualifications needed to thrive as a remote biotech data analyst, and why are they important?

To thrive as a Remote Biotech Data Analyst, you need a strong background in biology or life sciences, advanced data analysis skills, and typically a degree in bioinformatics, statistics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as experience with bioinformatics databases and software, is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative, virtual environments. These skills enable accurate data interpretation, support scientific research, and drive innovation in biotechnology projects.

What is the difference between Remote Biotech Data Analyst vs Remote Bioinformatics Technician?

AspectRemote Biotech Data AnalystRemote Bioinformatics Technician
Required CredentialsBachelor's in Biology, Data Science, or related field; proficiency in data analysis toolsBachelor's in Bioinformatics, Biology, or related; familiarity with bioinformatics software
Work EnvironmentRemote, often collaborating with research teams and data scientistsRemote or lab-based, supporting bioinformatics workflows and data processing
Industry UsagePharmaceuticals, biotech firms, research institutionsResearch labs, biotech companies, academic institutions
Common Search/ComparisonYesYes

The Remote Biotech Data Analyst and Remote Bioinformatics Technician roles share similar educational backgrounds and industry settings. However, data analysts focus more on interpreting and analyzing biological data, while bioinformatics technicians support data processing and software management. Both roles are essential in biotech research, often working remotely to advance scientific discoveries.

What are the most commonly searched types of Biotech Data Analyst jobs in Springfield, MO?

The most popular types of Biotech Data Analyst jobs in Springfield, MO are:

What are popular job titles related to Remote Biotech Data Analyst jobs in Springfield, MO?

For Remote Biotech Data Analyst jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Remote Biotech Data Analyst jobs in Springfield, MO look for?

The top searched job categories for Remote Biotech Data Analyst jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Remote Biotech Data Analyst jobs?

Cities near Springfield, MO with the most Remote Biotech Data Analyst job openings:

GIS Analyst - LiDAR and Remote Sensing

Springfield, MO โ€ข Remote

TOTH AND ASSOCIATES INC
Utilitiesย โ€ขย 51 - 200 employees

$32 - $42/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

TOTH is seeking a GIS Analyst with experience in LiDAR, point cloud processing, and geospatial data production to join our GIS team. This position will play a key role in processing, analyzing, and validating LiDAR and aerial data used to support engineering, surveying, utility, and infrastructure projects.

This role requires hands-on experience working with LiDAR data and a strong understanding of accuracy, consistency, and quality control. The position will work with complex geospatial datasets to identify potential issues and produce reliable products for use by engineers, surveyors, GIS professionals, and other project teams.

While LiDAR and aerial data processing will be a primary focus, this position will also support broader GIS initiatives, including mapping, data management, utility GIS, automation, and spatial analysis.

Essential Duties and Responsibilities:

LiDAR, Point Cloud & Remote Sensing

  • Process and analyze UAV and other LiDAR datasets from raw data through final deliverables.
  • Perform point cloud classification, refinement, and quality control.
  • Evaluate LiDAR accuracy using ground control, checkpoints, and established accuracy standards.
  • Identify and troubleshoot alignment, positioning, classification, coordinate system, and other data quality issues.
  • Generate geospatial products including classified LAS/LAZ, terrain and surface models, contours, breaklines, planimetric mapping derived from LiDAR and imagery, orthomosaics, 3D models, profiles, cross-sections, and other project-specific deliverables.
  • Extract features and measurements from LiDAR and imagery for engineering, surveying, utility, and infrastructure applications.
  • Work with aerial imagery, photogrammetry, thermal imagery, and other remotely sensed datasets as project needs require.
  • Apply appropriate coordinate systems, projections, datums, and transformations to geospatial datasets.
  • Perform quality control and validation to ensure deliverables meet project requirements and applicable accuracy standards.
  • Help develop efficient, repeatable workflows and technical standards as our LiDAR and remote sensing capabilities continue to grow.
  • Evaluate new software, technologies, and processing methods that can improve quality, efficiency, or the services we provide.

GIS & Geospatial Support

  • Produce maps, exhibits, spatial analyses, and geospatial datasets supporting engineering, surveying, utility, and infrastructure projects.
  • Support GIS data conversion, migration, schema development, and quality control.
  • Develop and maintain GIS datasets, web maps, feature services, and field data collection solutions.
  • Assist with utility GIS and asset inventory projects involving electric, fiber, and other infrastructure.
  • Automate repetitive GIS and data processing tasks using Python, ArcPy, ModelBuilder, or similar tools.
  • Collaborate with GIS professionals, engineers, surveyors, field personnel, and project managers to solve geospatial problems and develop effective project solutions.
  • Bachelor's degree in a geospatial-related field, or equivalent professional experience.
  • Professional experience processing and analyzing LiDAR or point cloud data.
  • Experience with point cloud processing software such as DJI Terra, LP360, TerraSolid, Global Mapper Pro, CloudCompare, or comparable platforms.
  • Working knowledge of ArcGIS Pro and geospatial data processing.
  • Strong understanding of coordinate systems, projections, datums, and geospatial transformations.
  • Understanding of GNSS, ground control, checkpoints, and positional accuracy concepts.
  • Ability to evaluate geospatial data for accuracy and identify potential quality issues.
  • Strong attention to detail and commitment to producing accurate, reliable deliverables.
  • Ability to manage multiple datasets and project priorities while communicating technical issues clearly.

Preferred Qualifications:

  • UAV-based LiDAR acquisition and processing.
  • DJI Zenmuse L1/L2 and DJI Terra.
  • Other UAV LiDAR platforms such as ROCK Robotic, YellowScan, Phoenix LiDAR, or similar systems.
  • Point cloud classification and automated feature extraction.
  • Planimetric mapping and topographic data production.
  • Photogrammetry and orthomosaic production.
  • Electric utility, transmission, distribution, fiber, or other infrastructure projects.
  • LiDAR data supporting PLS-CADD, PLS-POLE, CAD, or engineering design workflows.
  • Utility GIS platforms such as NISC, Milsoft, Futura, or Vetro.
  • Python, ArcPy, ModelBuilder, or other geospatial automation tools.
  • ArcGIS Enterprise, ArcGIS Online, Field Maps, or Survey123.
  • Surveying, geomatics, or survey-supporting geospatial workflows.

Ideal Candidate:

The ideal candidate is technically strong, detail-oriented, and takes ownership of the quality of their work. They can work independently through complex geospatial datasets, identify inconsistencies or potential quality issues, and investigate their cause to ensure accurate and reliable results.

We are looking for someone who enjoys technical problem solving, is interested in advancing LiDAR and geospatial technology, and can help us continue improving how we process, analyze, and deliver geospatial data.

Benefits:

  • Paid Time Off (PTO)
  • Eight paid holidays
  • Company-paid medical and dental coverage with buy-up options
  • 401(k) w/company matching and profit sharing
  • Discretionary bonuses
  • Paid Bonding Leave
  • Vision
  • Company-paid life insurance and long-term disability insurance
  • Supplemental life insurance available
  • Short-term disability available
  • FSA and HSA options
  • Education assistance

Company Overview:
Toth and Associates, Inc. (TOTH) is a full-service consulting engineering firm offering a broad range of services, including electric utility engineering, structural engineering, civil engineering, land services, GIS/mapping, utility rate services, and joint-use/make-ready support. Since our founding in 2003, we have grown to serve public and private utilities, municipalities, architects, developers, educational institutions, and other clients across the country.

At TOTH, we believe strong relationships are the foundation of successful work. Our team is built on professional expertise, collaboration, and a commitment to serving both our clients and one another well. We value people, encourage continued growth, and strive to provide a workplace where employees can build meaningful, rewarding careers.

TOTH offers competitive compensation, a comprehensive benefits package, professional development opportunities, and a supportive work environment. Visitwww.tothassociates.comto learn more about our company.