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Data Scientist Trainee Jobs (NOW HIRING)

Working closely with faculty investigators, trainees, and departmental leadership, this position ... Partner with departmental leadership, faculty investigators, Research Operations, Data Science, and ...

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Data Scientist Trainee information

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$37.5K

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How much do data scientist trainee jobs pay per year?

As of Jun 30, 2026, the average yearly pay for data scientist trainee in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Scientist Trainee position, and why are they important?

To thrive as a Data Scientist Trainee, you need a solid understanding of statistics, data analysis, and programming (preferably in Python or R), often supported by a degree in a quantitative field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and entry-level certifications such as IBM Data Science Professional Certificate can be highly beneficial. Attention to detail, problem-solving ability, and a willingness to learn and collaborate help distinguish strong candidates in this role. These qualifications and competencies enable trainees to effectively support data projects, extract meaningful insights, and smoothly develop into more advanced data science positions.

What is a Data Scientist Trainee job?

A Data Scientist Trainee is an entry-level role designed for individuals looking to gain hands-on experience in data science. Trainees typically work under the guidance of senior data scientists, assisting with data collection, cleaning, analysis, and model development. They may use programming languages like Python or R, as well as tools like SQL and machine learning frameworks. This role helps build foundational knowledge in data science principles, statistical analysis, and data visualization. It is ideal for recent graduates or career switchers who want to develop practical skills before transitioning into a full-time data science role.

What is a data scientist trainee?

A data scientist trainee is an entry-level position or program designed to train individuals in data analysis, statistical modeling, and machine learning techniques. Trainees typically learn to use tools like Python, R, and SQL while gaining practical experience under supervision to develop skills for a full data scientist role.

What are some typical projects or responsibilities for a Data Scientist Trainee?

As a Data Scientist Trainee, you will often assist with cleaning and organizing large datasets, performing exploratory data analysis, and developing basic predictive models under the guidance of more experienced team members. You may also help create data visualizations, build dashboards, or automate simple data processing tasks. Collaboration is key, as you’ll regularly work with senior data scientists, business analysts, and sometimes cross-functional teams to support ongoing projects and learn industry best practices. This role provides a valuable hands-on foundation, helping you build the technical and analytical skills necessary for future advancement in the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

How to get a job as a data scientist with no experience?

To get a job as a data scientist with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key skills such as data analysis, machine learning, and SQL. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities to employers. Internships or entry-level roles can also provide valuable hands-on experience and help you develop a professional portfolio.

Is 30 too late for data science?

Age is not a barrier to becoming a data scientist trainee; many professionals successfully transition into data science later in life. Building relevant skills such as programming, statistics, and machine learning through online courses or bootcamps can help you enter the field regardless of age.
More about Data Scientist Trainee jobs
What cities are hiring for Data Scientist Trainee jobs? Cities with the most Data Scientist Trainee job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Data Scientist Trainee jobs? States with the most job openings for Data Scientist Trainee jobs include:
Infographic showing various Data Scientist Trainee job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Research Data Scientist - Molecular and Precision Medicine / Medicine

Penn State University

Hershey, PA • On-site

$61K - $89K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Key responsibilities

  • Develop, select, and apply advanced computational and statistical methods to analyze complex biological datasets.

  • Perform integrative multi-omics analyses and utilize tools such as Scanpy and other single-cell analysis frameworks.

  • Collaborate with faculty to design computational strategies, generate analytical summaries, and support training of trainees and junior investigators in data analysis best practices.


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

197th of 544 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This position is funded for 6 months; continuation past 6 months will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
Position Summary
The Penn State College of Medicine, Department of Molecular and Precision Medicine and Department of Medicine, seek a PhD-trained Senior Bioinformatician / Research Data Scientist to support an expanding portfolio of translational and precision health research programs. The successful candidate will develop, implement, and evaluate advanced computational and statistical approaches to analyze high-dimensional biological data, including multi-omics datasets. This role will collaborate closely with faculty investigators across disciplines-including aging biology, infectious diseases, cancer biology, and mucosal immunology-to integrate genomics, transcriptomics (including single-cell), proteomics, and related datasets into mechanistic and translational insights.
The Senior Bioinformatician will serve as a key computational partner across multiple projects, contributing to study design, data analysis, visualization, and interpretation while helping to build sustainable computational infrastructure within the department.
Key Responsibilities
  • Develop, select, and apply advanced computational and statistical methods to analyze complex biological datasets
  • Perform integrative multi-omics analyses (e.g., genomics, transcriptomics, single-cell RNA-seq, proteomics, epigenomics)
  • Utilize and implement tools such as Scanpy and other single-cell analysis frameworks
  • Develop and maintain reproducible workflows in Python and related programming environments
  • Collaborate with faculty to design computational strategies aligned with research aims
  • Develop novel algorithms, software tools, and analytical pipelines to address emerging research questions
  • Generate high-quality visualizations and analytical summaries for manuscripts, grant applications, and presentations
  • Contribute to interpretation of results and development of new hypotheses
  • Support training of trainees and junior investigators in data analysis best practices
  • Ensure data management, documentation, and reproducibility standards are maintained

Preferred Qualifications
  • PhD in Bioinformatics, Computational Biology, Biology, Biomedical Sciences, Biostatistics, Computer Science, or related field
  • Demonstrated experience analyzing high-dimensional biological or omics datasets
  • Strong programming skills in Python (required) and familiarity with data science frameworks
  • Experience with single-cell data analysis tools (e.g., Scanpy or similar platforms)
  • Experience integrating multi-omics datasets
  • Ability to work collaboratively across interdisciplinary research teams
  • Strong written and verbal communication skills
  • Background in biology, immunology, cancer biology, infectious diseases, aging, or related biomedical fields
  • Experience working in an academic medical center environment
  • Familiarity with high-performance computing environments and cloud-based analysis
  • Track record of contribution to peer-reviewed publications

Impact of the Role
This position will serve as the senior bioinformatics lead across multiple translational research initiatives, enabling integration of large-scale datasets into biologically meaningful discoveries. The role is central to advancing precision health initiatives and strengthening the department's computational research capacity.
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS
Bachelor's Degree1+ years of relevant experience; or an equivalent combination of education and experience acceptedRequired Certifications:None
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
Penn State does not sponsor or take over sponsorship of a staff employment Visa. Applicants must be authorized to work in the U.S.
SALARY & BENEFITS
The salary range for this position, including all possible grades, is $61,800.00 - $89,600.00.
Salary Structure - Information on Penn State's salary structure
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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