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Junior Data Science Neuroscience Jobs (NOW HIRING)

Mentors and develops junior data scientists and analysts. * Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. * Engages with ...

Mentors and develops junior data scientists and analysts. * Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. * Engages with ...

Required : • 3+ years of hands-on Data Science experience. A formal degree is not required if you ... junior data scientists or contributing to onboarding and training programs. • Experience ...

Junior Data Scientist

Milwaukee, WI · Hybrid

$68K - $93K/yr

... Junior Data Scientist to grow with us. You'll be embedded on our Lean Initiative team, working ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Junior Data Scientist

Charlotte, NC · On-site

$100K - $125K/yr

ROLE OVERVIEW As a Junior Data Scientist, you will contribute to the ML growth engine behind TIFIN ... WHAT YOU'LL BRING * 1-2+ years of experience in data science, ML engineering, or a related ...

Mentors and develops junior data scientists and analysts. 3. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. 4. Engages with ...

Mentor junior data scientists and actively participate in the hiring and interview process. Experience/Skills Required * 3+ years of hands-on Data Science experience. A formal degree is not required ...

Mentor junior data scientists and actively participate in the hiring and interview process. Experience/Skills Required * 3+ years of hands-on Data Science experience. A formal degree is not required ...

Principal Data Scientist

Denver, CO · On-site

$129K - $183K/yr

... data science opportunities. Essential Responsibilities * Advising and providing mentorship and guidance to junior data analysts. * Advocating for best-in-class processes and techniques for ...

... and develop junior data scientists. • Collaborate with cross-functional teams including product managers, engineers, and business leaders. • Build evaluation frameworks to measure LLM ...

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Junior Data Science Neuroscience information

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$29.5K

$66.7K

$118.5K

How much do junior data science neuroscience jobs pay per year?

As of Jun 13, 2026, the average yearly pay for junior data science neuroscience in the United States is $66,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $75,000.00 per year, depending on experience, location, and employer.

Is 30 too late for data science?

For a Junior Data Science Neuroscience role, starting a career at age 30 is not too late, as many data scientists transition careers or pursue additional education later in life. Success depends on acquiring relevant skills such as programming, statistics, and domain knowledge, which can be developed through online courses, bootcamps, or degrees regardless of age.

What types of projects and collaborations can a Junior Data Scientist expect in a neuroscience research team?

As a Junior Data Scientist in a neuroscience setting, you will typically work on projects that involve processing and analyzing large datasets, such as brain imaging or neural signal recordings. You can expect to collaborate closely with neuroscientists, clinicians, and senior data scientists to interpret results and contribute to experimental design. Your daily tasks may include data cleaning, statistical analysis, and developing machine learning models to uncover patterns related to brain function or disease. This role often offers excellent opportunities for learning and mentorship, as well as potential for growth into specialized or leadership positions as you gain experience.

What jobs can you get with a BS in neuroscience?

A BS in neuroscience can qualify you for roles such as research assistant, data analyst, neuroinformatics technician, or laboratory technician. These positions often require skills in data analysis, programming, and understanding of neural systems, and may involve working in research labs, healthcare settings, or biotech companies.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and company size. Junior data science roles often require proficiency in programming languages like Python or R and familiarity with machine learning tools, which can influence salary levels.

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

A Junior Data Science Neuroscience professional should have a solid background in neuroscience or a related field, combined with proficiency in statistics, data analysis, and programming (typically Python or R). Experience with data visualization tools, machine learning libraries, and familiarity with neuroimaging software (such as SPM, FSL, or AFNI) are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex datasets and collaborating across interdisciplinary teams. These skills are essential for extracting meaningful insights from neurological data and advancing research or clinical applications.

What does a neuroscience data scientist do?

A neuroscience data scientist analyzes complex neurological data to uncover patterns and insights related to brain function and behavior. They use statistical methods, machine learning, and programming tools like Python or R to process imaging, genetic, or electrophysiological data, often working in research or clinical environments. Strong knowledge of neuroscience, data analysis, and coding is essential for this role.

What is a Junior Data Science Neuroscience role?

A Junior Data Science Neuroscience role involves applying data science techniques to analyze and interpret complex neuroscience data. Professionals in this position typically work with large datasets from brain imaging, electrophysiology, or behavioral experiments to uncover patterns and insights about brain function. They often use programming languages like Python or R, statistical analysis, and machine learning algorithms under the supervision of senior scientists or data analysts. This role is ideal for early-career individuals with a background in neuroscience, data science, or a related field.
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What cities are hiring for Junior Data Science Neuroscience jobs? Cities with the most Junior Data Science Neuroscience job openings:
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What states have the most Junior Data Science Neuroscience jobs? States with the most job openings for Junior Data Science Neuroscience jobs include:
Senior Data Scientist

Senior Data Scientist

Vangard, Inc.

Malvern, PA • On-site

Full-time

Posted 15 days ago


Job description

Role Summary

This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.


Responsibilities

  • Develop end-to-end Generative AI solutions leveraging LLMs and foundational AI components
  • Design and implement scalable RAG (Retrieval-Augmented Generation) workflows
  • Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
  • Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
  • Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
  • Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.
  • Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
  • Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
  • Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.


Qualifications and Skills

  • Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
  • Bachelor's degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master's degree/Diploma in a related quantitative field
  • Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.