1

Associate Data Scientist Jobs in Hanover, NH (NOW HIRING)

next page

Showing results 1-20

Associate Data Scientist information

See Hanover, NH salary details

$57.4K

$67.9K

$128.8K

How much do associate data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for associate data scientist in Hanover, NH is $67,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $59,400.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

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

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist jobs in Hanover, NH?

The most popular types of Data Scientist jobs in Hanover, NH are:

What job categories do people searching Associate Data Scientist jobs in Hanover, NH look for?

The top searched job categories for Associate Data Scientist jobs in Hanover, NH are:

What cities near Hanover, NH are hiring for Associate Data Scientist jobs?

Cities near Hanover, NH with the most Associate Data Scientist job openings:

Infographic showing various Associate Data Scientist job openings in Hanover, NH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $67,928 per year, or $32.7 per hour.

Research Associate - Flow Cytometry Instrumentation and Cell Therapy Monitoring

Dartmouth College

Hanover, NH • On-site

Full-time

Re-posted 18 days ago


Dartmouth College rating

8.7

Company rating: 8.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

56th of 621 rated colleges and universities


Job description

Description
Position Type: Full-time
Location: Dartmouth College, Precision Optical Diagnostics Laboratory, Lebanon NH
Department: Thayer School of Engineering/Dartmouth Comprehensive Cancer Center
Start Date: Immediate
Compensation: Commensurate with experience
Position Summary
The Precision Optical Diagnostics Lab (https://sites.dartmouth.edu/georgakoudi-lab/) is seeking a full-time Research Associate to join an interdisciplinary research project focused on the development of custom flow cytometry instrumentation and data analysis methods to monitor cell therapy products in vitro, ex vivo, and in vivo.
This position is part of an exciting translational research effort at the intersection of engineering, immunology, hematology/oncology, data science, cell therapy, and immunotherapy. Our laboratory is an engineering research lab located in a building contiguous with the hospital and integrated with the Dartmouth Comprehensive Cancer Center, creating a highly collaborative environment with direct connections to clinical and translational research.
The Research Associate will work closely with engineers, immunologists, hematology/oncology researchers, clinicians, and data scientists to develop, test, and apply advanced technologies for monitoring cell therapy products. This is an excellent opportunity for a motivated candidate interested in biomedical innovation, translational research, and the development of next-generation tools for cancer therapy monitoring.
Key Responsibilities
The Research Associate will contribute to several aspects of the project, including:
  • Supporting the development, testing, and optimization of custom flow cytometry instrumentation.
  • Assisting with experimental design and execution for monitoring cell therapy products in vitro, ex vivo, and in vivo.
  • Performing sample preparation, data acquisition, quality control, and troubleshooting related to flow cytometry-based assays.
  • Developing, implementing, or supporting data analysis workflows for high-dimensional cytometry data.
  • Conducting literature reviews to inform experimental design, technology development, and data interpretation.
  • Collaborating with interdisciplinary team members, including immunologists, hematology/oncology investigators, engineers, and data scientists.
  • Maintaining accurate and organized experimental records, protocols, datasets, and analysis documentation.
  • Participating in lab meetings, project discussions, manuscript preparation, presentations, and grant-related activities as appropriate.
  • Contributing to a collaborative, rigorous, and innovation-focused research environment.

Qualifications
Required Qualifications
  • Bachelor's degree in biomedical engineering, bioengineering, electrical engineering, mechanical engineering, computer science, biology, immunology, biophysics, or a related field.
  • Strong critical thinking and problem-solving skills.
  • Ability to work both independently and as part of a multidisciplinary team.
  • Excellent organizational, communication, and documentation skills.
  • Willingness to learn new experimental, computational, and analytical methods.
  • Demonstrated ability to review scientific literature and apply findings to research questions.
Desired Qualifications
Experience in one or more of the following areas is strongly desired but not required:
  • Flow cytometry, fluorescence-based assays, microscopy, optics, or biomedical instrumentation.
  • Instrument design, prototyping, calibration, or troubleshooting.
  • Programming or data analysis using Python, MATLAB, R, or similar tools.
  • Analysis of cytometry, single-cell, imaging, or other high-dimensional biological datasets.
  • Immunology, hematology/oncology, cell therapy, immunotherapy, or cancer biology.
  • Wet lab experience, including cell culture, immune cell assays, or sample processing.
  • Engineering design, systems integration, signal processing, or quantitative biology.

Interest in innovation, entrepreneurship, technology translation, or biomedical device development is a plus.
Ideal Candidate
The ideal candidate is intellectually curious, detail-oriented, and excited by interdisciplinary research. They should be comfortable learning across fields, communicating with collaborators from different scientific backgrounds, and contributing to both hands-on experimental work and quantitative analysis. A strong candidate will bring initiative, creativity, scientific rigor, and enthusiasm for developing technologies that can support advances in cell therapy and immunotherapy.
Research Environment
Our lab is an engineering-focused research group embedded in a highly translational biomedical environment. The lab is located in a building contiguous with the hospital and is part of the Dartmouth Comprehensive Cancer Center, providing opportunities to interact with clinicians, translational scientists, and researchers working at the forefront of cancer therapy. The successful candidate will gain experience in technology development, biomedical instrumentation, data analysis, and collaborative translational research.
Application Instructions
Application Materials
Interested candidates should submit:
  • Resume or CV
  • Brief cover letter describing research interests, relevant experience, and career goals
  • Contact information for 2-3 references

Applications should be submitted through Handshake or sent to Irene.Georgakoudi@dartmouth.edu.

What Dartmouth College employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom