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Data Science Jobs in Hamilton, MT (NOW HIRING)

(ID: 2026-3178) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

(ID: 2026-3178) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

(ID: 2026-3178) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

(ID: 2026-1867) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

Electron Microscopy Specialist

Hamilton, MT ยท On-site

$70K - $80K/yr

(ID: 2026-1867) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers ...

Laboratory Technician (NIH)

Hamilton, MT ยท On-site

$17 - $22.50/hr

Scientific instruments and medical devices include, but are not limited to, the following: high ... Evaluates and develops parts lists and procurement ordering data in compliance with guidelines ...

Laboratory Technician (NIH)

Hamilton, MT ยท On-site

$17 - $22.50/hr

Scientific instruments and medical devices include, but are not limited to, the following: high ... Evaluates and develops parts lists and procurement ordering data in compliance with guidelines ...

HPC Administrator

Hamilton, MT ยท Hybrid

$106K - $143K/yr

Collaborate with researchers to help ensure reliable execution of data processing pipelines and to improve the performance and usability of their scientific workflows on shared HPC resources.

Biologist NIH

Hamilton, MT ยท On-site

$37.60/hr

Maintain detailed records of experiments, analyze data, and present oral or written results to others at NIH or for publication. * Assist with ordering scientific reagents and equipment, including ...

... science, sustainability, and a culture of inclusion. As part of our global team, you'll be ... data-based decision making * Promote a culture of accountability, teamwork, and continuous ...

Biologist NIH

Hamilton, MT ยท On-site

$37.60/hr

Maintain detailed records of experiments, analyze data, and present oral or written results to others at NIH or for publication. Assist with ordering scientific reagents and equipment, including ...

Data Science information

See Hamilton, MT salary details

$33.5K

$109.6K

$175.5K

How much do data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science in Hamilton, MT is $109,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $121,500.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Hamilton, MT?

The most popular types of Data Science jobs in Hamilton, MT are:

What cities near Hamilton, MT are hiring for Data Science jobs?

Cities near Hamilton, MT with the most Data Science job openings:

Infographic showing various Data Science job openings in Hamilton, MT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,633 per year, or $52.7 per hour.

Staff Scientist - Genomics

Axle

Hamilton, MT โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

(ID: 2026-3178)
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Position Summary
The Staff Scientist (Genomics) provides scientific and technical support for next-generation sequencing (NGS) projects in a shared genomics or research support environment. The incumbent applies foundational expertise in Illumina sequencing, RNA-sequencing (RNA-seq), and single-cell genomics to support intramural research programs. Under the guidance of senior scientists, the employee contributes to experimental design, laboratory workflows, data generation, technology enhancement, and quality control while ensuring compliance with federal safety, security, and data management standards.
Major Duties and Responsibilities
  • Performs next-generation sequencing library preparation and sequencing using Illumina platforms, following established standard operating procedures (SOPs).
  • Conducts RNA-seq and single-cell sequencing workflows, including sample preparation, library construction, sequencing setup, and post-run quality assessment.
  • Performs nucleic acid extractions from diverse biological samples, including tissues, cells, and bacterial cultures.
  • Supports project intake, sample tracking, and data documentation using laboratory information management systems (LIMS) and electronic lab notebooks.
  • Assists with basic downstream data quality control and interpretation in collaboration with bioinformatics staff.
  • Maintains accurate records of experiments, reagents, and sequencing runs to ensure reproducibility and regulatory compliance.
  • Participates in laboratory maintenance, instrument performance monitoring, and routine troubleshooting under supervision.
  • Follows all biosafety, chemical safety, and data security policies and completes required HHS/NIH training.
  • Collaborate closely with investigators to include but not limited to consultations, experimental design, organization, preparation of samples, and contributions to data analysis and biological interpretation.
  • Contributes to presentations, internal reports, and publications as appropriate.
  • Research, plan and engage in technology development projects to further the capabilities of the genomics group.

Knowledge, Skills, and Abilities
  • Working knowledge of Illumina sequencing platforms and NGS library preparation techniques.
  • Familiarity with RNA-seq and single-cell sequencing technologies (e.g., 10x Genomics or equivalent platforms).
  • Understanding of basic molecular biology techniques and experimental design.
  • Ability to follow detailed protocols, maintain accurate documentation, and meet project deadlines.
  • Strong organizational and communication skills to support a collaborative research environment.
  • Willingness to learn new technologies and adapt to evolving research needs.

Qualifications
Education
  • Ph.D. in Genomics, Molecular Biology, Genetics, or related biological science.

Experience
  • Demonstrated hands-on experience with Illumina sequencing.
  • Experience or formal training in RNA-seq and/or single-cell sequencing workflows.
  • Experience working in a research laboratory or core facility environment.

Supervisory Controls
Work is performed under the guidance of senior staff scientists or supervisors. Assignments are clearly defined, and the incumbent receives direction on priorities and methods. Increasing independence is expected as technical proficiency develops.
Complexity
The work involves standard but technically detailed genomics procedures requiring accuracy, attention to detail, and sound scientific judgment. The employee applies established methods while learning to address routine technical challenges.
Scope and Effect
The work supports intramural research programs by ensuring high-quality sequencing data and reliable laboratory operations. Accurate performance directly impacts research timelines, data integrity, and scientific outcomes.
Physical Demands and Work Environment
Work is performed primarily in a laboratory setting and may involve standing, handling biological samples, and working with laboratory instruments. Appropriate personal protective equipment (PPE) is required.
Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.
#IND
Salary Range
$100,000-$110,000 USD