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

Dartmouth College

Research Assistant I

Hanover, NH · On-site

... Associate Professor of Psychological and Brain Sciences Department Contact's Phone Number 603-646 ... Assists with analyzing data * Prepares appropriate and understandable representations of data such ...

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Data Science Associate information

See Hanover, NH salary details

$57.4K

$67.9K

$128.8K

How much do data science associate jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data science associate 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.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData 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; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Hanover, NH as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 31% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% 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

Research Associate - Flow Cytometry Instrumentation and Cell Therapy Monitoring

Dartmouth College

Hanover, NH • On-site

Full-time

Posted 21 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 612 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.

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