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Entry Level Computational Scientist Jobs (NOW HIRING)

Data Analytics & Computational Sciences Job Sub Function: Clinical Data Management Job Category ... The Analyst, Global Data Manager (GDM) is a professional individual contributor role at entry level ...

Data Analytics & Computational Sciences Job Sub Function: Clinical Data Management Job Category ... The Analyst, Global Data Manager (GDM) is a professional individual contributor role at entry level ...

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational Biology, Biomedical Data Science). * Strong publication record for your career stage ...

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational Biology, Biomedical Data Science). * Strong publication record for your career stage ...

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational Biology, Biomedical Data Science). * Strong publication record for your career stage ...

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational Biology, Biomedical Data Science). * Strong publication record for your career stage ...

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational Biology, Biomedical Data Science). * Strong publication record for your career stage ...

This is an entry-level role, great for individuals who have done some research during an undergrad ... Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for ...

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Entry Level Computational Scientist information

See salary details

$50.5K

$111.3K

$137.5K

How much do entry level computational scientist jobs pay per year?

As of Jul 23, 2026, the average yearly pay for entry level computational scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

Can I get a data scientist job with no experience?

Entry level computational scientist roles, including data scientist positions, often require some foundational skills in programming, statistics, and data analysis. While prior experience is preferred, candidates with relevant coursework, internships, or certifications in tools like Python, R, or SQL can be considered for entry-level positions. Demonstrating a strong understanding of data concepts and problem-solving abilities can improve chances of securing such roles without formal work experience.

What are the key skills and qualifications needed to thrive as an Entry Level Computational Scientist, and why are they important?

To thrive as an Entry Level Computational Scientist, you need a solid background in mathematics, programming (such as Python, C++, or R), and data analysis, typically with a bachelor’s or master’s degree in a related field. Familiarity with scientific computing tools, simulation software, and version control systems like Git is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and explain complex concepts. These skills and qualities enable accurate modeling, efficient teamwork, and successful outcomes in research or industry projects.

Can I get an entry level job as a CS major?

Entry level computational scientist positions typically require a bachelor's degree in computer science, computational science, or related fields. Strong programming skills in languages like Python or C++, along with knowledge of algorithms and data analysis tools, are often essential for these roles. Internships or relevant project experience can improve chances of securing an entry-level position.

What is the difference between Entry Level Computational Scientist vs Entry Level Data Analyst?

AspectEntry Level Computational ScientistEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Mathematics, or related field; some roles prefer internships or certifications in programming or data analysisBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools (e.g., Excel, SQL) are common
Work EnvironmentResearch labs, tech companies, or scientific organizations; focus on modeling and simulationsBusiness, finance, healthcare sectors; focus on interpreting data and generating reports
Employer & Industry UsageResearch institutions, government agencies, tech firmsCorporations, consulting firms, healthcare providers

Entry Level Computational Scientists focus on developing models and simulations using programming and scientific computing, often in research settings. Entry Level Data Analysts primarily interpret data to support business decisions, working with data visualization and statistical tools. While both roles require strong analytical skills and some programming knowledge, their work environments and industry applications differ significantly.

What types of projects do entry-level computational scientists typically work on, and how do they collaborate with other team members?

Entry-level computational scientists are often assigned to support ongoing research projects by developing code, running simulations, and analyzing data under the guidance of senior scientists. They frequently collaborate with interdisciplinary teams, including domain experts, data analysts, and software engineers, to ensure that computational models align with project goals. Communication and teamwork are essential, as these scientists may participate in regular meetings, present findings, and incorporate feedback from colleagues. This collaborative environment helps new hires quickly build technical and professional skills while contributing to impactful scientific work.

What are entry level computational scientists?

Entry level computational scientists are professionals who use computer-based models, simulations, and data analysis to solve scientific and engineering problems. They typically have a background in fields such as physics, chemistry, biology, engineering, or computer science, and are skilled in programming and mathematical modeling. At the entry level, they assist senior scientists by developing algorithms, running simulations, and analyzing results. Their work supports research and innovation in areas like drug discovery, climate modeling, and materials science. Entry level roles are ideal for recent graduates looking to gain experience in applying computational methods to real-world scientific challenges.

What jobs pay 4000 a week without a degree?

Entry-level computational scientists typically require a degree, but some high-paying roles in tech or freelance consulting can reach $4,000 weekly through specialized skills like programming, data analysis, or machine learning. These roles often demand strong technical expertise, self-motivation, and the ability to work independently or on contract projects.

Is computational science in demand?

Computational science is in high demand across industries such as healthcare, finance, and technology, as organizations increasingly rely on data analysis, modeling, and simulation. Entry level computational scientists with skills in programming, data analysis, and familiarity with tools like Python or MATLAB are sought after for roles in research, development, and data-driven decision making.
More about Entry Level Computational Scientist jobs
What cities are hiring for Entry Level Computational Scientist jobs? Cities with the most Entry Level Computational Scientist job openings:
What are the most commonly searched types of Computational Scientist jobs? The most popular types of Computational Scientist jobs are:
What states have the most Entry Level Computational Scientist jobs? States with the most job openings for Entry Level Computational Scientist jobs include:
What job categories do people searching Entry Level Computational Scientist jobs look for? The top searched job categories for Entry Level Computational Scientist jobs are:
Infographic showing various Entry Level Computational Scientist job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, and 4% Temporary. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Analyst, Global Data Manager (1 of 3)

Jj

Spring House, PA

Full-time

Retirement, PTO

Posted 7 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Clinical Data Management

Job Category:

Professional

All Job Posting Locations:

Horsham, Pennsylvania, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine R&D is recruiting for an Analyst, Global Data Manager. This position is a hybrid role and can be located in Spring House, PA; Horsham, PA; Raritan, NJ; or Titusville, NJ.

The Analyst, Global Data Manager (GDM) is a professional individual contributor role at entry level that will provide oversight and accountability and/or execute data management activities and/or perform scientific data review for one or more trials of low to moderate complexity. The Analyst, GDM will make recommendations and influence decisions for specific trials or assignments. This individual will analyze and provide input into decisions with direction from a manager or Data Management Leader (DML). This position receives ongoing direction to achieve objectives, and work is reviewed on a regular basis with the DML.

Principal Responsibilities:

  • Work with external suppliers, trial customers and other internal/external partners to establish, align and confirm data management and/or clinical data management expectations to the business for assigned trial(s) to include but not limited to:

    • Gather and/or review content and integration requirements for Electronic Code of Federal Regulations (eCFR) and other data collection tools.

    • Participate in establishing conventions and quality expectations for clinical data.

    • Participate in establishing expectations for dataset content and structure.

    • Work with others to set timelines and follow-up regularly to monitor delivery of all data management milestones.

  • Review clinical data management documents (including submission package) for appropriate quality, scientific content, organization, clarity, accuracy, format, and consistency. Work with DML to facilitate compliance with regulatory guidelines and the documentation matrix.

  • Work with DML to facilitate real-time inspection readiness of all assigned deliverables for the trial. Participate in regulatory agency inspections and Johnson & Johnson internal audits as necessary.

  • Work with DML to plan and track content, format, quality, and timing of applicable data management deliverables. Work with DML to ensure deliverables are on time.

  • Support the assigned clinical working group(s) to ensure that DM and TA trial needs and deliverables are met.

  • Identify and communicate lessons learned with support from DML and frequently asked questions at trial level.

  • Contribute to the creation of key functional plans (e.g., study Integrated Review Plan) ensuring appropriate quality, scientific content, organization, clarity, accuracy, format, and consistency.

  • Participate in process, system, and tool improvement initiatives.

  • Perform trial level oversight controls and/or execute data management activities per applicable procedures, with DML direction.

Qualifications:

  • A minimum of a Bachelor's degree is required, preferably in Clinical Data Management, Life Sciences or Computer Sciences.

  • Clinical data management experience is preferred.

  • Knowledge of scientific concepts presented in clinical trial protocols is preferred.

  • Experience in clinical drug development within the pharmaceutical industry, Contract Research Organization (CRO) or related industry is preferred.

  • Knowledge of applicable international guidelines regarding data management of clinical trials is preferred.

  • Knowledge of current industry standards (e.g., Clinical Data Interchange Standards Consortium (CDISC), Study Data Tabulation Model (SDTM), Clinical Data Acquisition Standards Harmonization (CDASH), etc.) is preferred.

  • Knowledge of technology platforms for data exchange and project management is preferred.

  • Must have excellent verbal and written communication skills.

  • Must have the ability to adapt to a rapidly changing organization and business environment.

  • The ability to collaborate with all levels of management in a cross-functional team environment is preferred.

  • This position will require up to 10% travel.

#LI-Hybrid

Required Skills:

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Biostatistics, Business Behavior, Clinical Data Management, Clinical Operations, Cross-Functional Collaboration, Database Applications, Data Privacy Standards, Data Savvy, Execution Focus, Good Clinical Practice (GCP), Process Oriented, Project Support, Report Writing, Standard Operating Procedure (SOP)

The anticipated base pay range for this position is :

$76,000.00 - $121,900.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits